CN116307433A

CN116307433A - Material guarantee supply method and electronic equipment

Info

Publication number: CN116307433A
Application number: CN202211101028.5A
Authority: CN
Inventors: 滕立武; 陈鹏; 叶尉东; 贺绍丙; 刘振洋; 周健龙; 黄明合
Original assignee: Zhuhai Lehuo Commune Network Technology Co ltd
Current assignee: Zhuhai Lehuo Commune Network Technology Co ltd
Priority date: 2022-09-09
Filing date: 2022-09-09
Publication date: 2023-06-23
Anticipated expiration: 2042-09-09
Also published as: CN116307433B

Abstract

The invention discloses a material guarantee supply method and electronic equipment, comprising the following steps: acquiring and identifying material demand information; when the material demand information is identified to carry the target state identification, adopting a material matching mode corresponding to the target state identification and outputting a corresponding material matching result; acquiring and identifying transaction information; when the transaction information is identified to carry the target state identification, adopting a material scheduling scheme corresponding to the target state identification, and carrying out material scheduling and material flow scheduling. According to the invention, corresponding material matching modes and material scheduling schemes are generated according to different material demand degrees, manufacturers and suppliers which can be used in a demand range are quickly matched, the existing stock of demand materials is quickly collected through a database, the quick response of material demands and the timely delivery of the demand materials are realized, the efficient butt joint among material allocation, supply chain production and logistics allocation is ensured, and the seamless butt joint of supply and demand is realized. The invention is applied to the technical field of material allocation.

Description

Material guarantee supply method and electronic equipment

Technical Field

The invention relates to the technical field of material allocation, in particular to a material guarantee supply method and electronic equipment.

Background

The materials, namely the material resources, generally comprise living materials which can directly meet the demands of all parties of the society and production materials which indirectly meet the demands of all parties of the society, and when the living materials or the production materials of one party are in shortage, the materials of the shortage are required to be scheduled. By material scheduling is meant a method of making adjustments to planned supply materials, either readjusting planned materials that have been supplied or allocated for use, or material supply adjustments to prevent supply inconsistencies and to address temporary special tasks. In general, material scheduling is performed within the scope of material allocation authority, so as to respond to the material demand of the demander as quickly as possible and meet the material demand of the demander.

In practical situations, when material scheduling is performed, a corresponding material scheduling scheme is required to be formulated according to different material demand conditions, and whether the material scheduling scheme reasonably determines the speed and reliability of the whole material scheduling link, for example, roles of suppliers, storage warehouse, material flow vehicles and the like participating in material scheduling need to achieve seamless and efficient butt joint in links of purchasing efficiency, supply guarantee, information circulation and the like, so that the material demand of a fast responding demand party and the fast delivering of demanded material can be realized. However, the roles involved in the material scheduling are not necessarily efficient, and the material scheduling scheme may have a problem of not meeting the material demand condition, so that the material demand of the demander cannot be responded quickly and the required material cannot be delivered quickly. For example, from the aspect of reliability, a stock warehouse rich in stock and capable of meeting the demand of the stock is required to perform stock scheduling so as to meet the demand of the demand party on the demand of the stock; in terms of speed, a storage warehouse close to the demand party is selected as the optimal warehouse for material scheduling so as to realize rapid material delivery, and the storage warehouse close to the demand party and the storage warehouse capable of meeting material demands possibly collide; meanwhile, the situations of insufficient equipment of the materials and logistics vehicles to be scheduled can occur during the material scheduling.

Therefore, how to formulate a material scheduling scheme according to different material demand conditions, so as to realize quick response to the material demand of the user and quick delivery of the required material is one of the problems to be solved in the art.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

The embodiment of the application provides a material guarantee supply method and electronic equipment, which can rapidly respond to the requirements of materials under different material requirement conditions and ensure the supply of required materials, thereby avoiding the phenomena that materials are short and cannot be timely conveyed to a requiring party.

The embodiment of the application provides a material guarantee supply method, which comprises the following steps:

acquiring and identifying material demand information from a demand party;

when the material demand information is identified to carry a target state identifier, outputting a corresponding material matching result according to a material matching mode by adopting the material matching mode corresponding to the target state identifier;

acquiring and identifying transaction information from a requesting party;

when the transaction information is identified to carry the target state identifier, adopting a material scheduling scheme corresponding to the target state identifier, and performing material allocation and material flow scheduling according to the transaction information and the material matching result;

The material demand information comprises SKU codes of target materials and first-level classification, second-level classification and third-level classification of the target materials, wherein the SKU codes are obtained by subdivision of the first-level classification, and the third-level classification is obtained by subdivision of the second-level classification;

the transaction information includes: material delivery location, material delivery time, and material demand quantity;

the target state identifier comprises any one of a first state identifier, a second state identifier or a third state identifier;

the material matching mode corresponding to the target state identifier comprises any one of a first material matching mode, a second material matching mode or a third material matching mode;

the material scheduling scheme corresponding to the target state identifier comprises any one of a first material scheduling scheme, a second material scheduling scheme or a third material scheduling scheme;

the adopting the material matching mode corresponding to the target state identifier, outputting a corresponding material matching result according to the material matching mode, comprises the following steps:

when the fact that the material demand information carries the first state identification is identified, material matching is carried out according to the first-level classification and a preset first database, and a first material matching result is output;

Or when the material demand information is identified to carry the second state identifier, carrying out material matching according to the second-stage classification and the first database, and outputting a second material matching result;

the material scheduling scheme corresponding to the target state identifier is adopted, material allocation and material flow scheduling are carried out according to the transaction information and the material matching result, and the material scheduling method comprises the following steps:

when the transaction information is identified to carry the first state identifier, adopting the first material scheduling scheme to perform material scheduling and material flow scheduling at a preset first range and a first speed according to the transaction information and the first material matching result;

or when the transaction information is identified to carry the second state identifier, adopting the second material scheduling scheme to perform material scheduling and material flow scheduling at a preset second range and second speed according to the transaction information and the second material matching result;

wherein the first range is less than the second range and the first speed is less than the second speed.

An electronic device comprising a memory storing a computer program and a processor implementing the material assurance supply method when executing the computer program.

The embodiment of the application at least comprises the following beneficial effects: provided are a material guarantee supply method and an electronic device, including: acquiring and identifying material demand information from a demand party; when the material demand information is identified to carry a target state identifier, outputting a corresponding material matching result according to a material matching mode by adopting the material matching mode corresponding to the target state identifier; acquiring and identifying transaction information from a requesting party; when the transaction information is identified to carry the target state identifier, adopting a material scheduling scheme corresponding to the target state identifier, and performing material allocation and material flow scheduling according to the transaction information and the material matching result. According to the method and the device, the requirements of the demand side on the materials under different material demand conditions are met, the demand materials are rapidly allocated, the available manufacturers and suppliers in the range of the demand loop are matched through the intelligent algorithm model, the existing stock of the demand materials is rapidly collected through the database, the rapid response of the material demand and the timely delivery of the demand materials are realized, the links of material allocation, supply chain production and logistics allocation are guaranteed to be in efficient butt joint, and the seamless butt joint of supply and demand is realized.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is evident that the drawings described are only some embodiments of the invention, but not all embodiments, and that other designs and drawings can be obtained from these drawings by a person skilled in the art without inventive effort.

FIG. 1 is a workflow diagram of a method for providing a material assurance according to an embodiment of the present application;

FIG. 2 is a flowchart of a first material matching method according to an embodiment of the present disclosure;

FIG. 3 is a flow chart of implementing a first material scheduling scheme provided by an embodiment of the present application;

FIG. 4 is a flow chart of implementing material allocation and material flow scheduling when the total stock of the first material is less than or equal to the material demand number according to an embodiment of the present application;

FIG. 5 is a flow chart of a first vendor production event provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a supply range of a first material scheduling scheme provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of a first state intelligent algorithm model provided by an embodiment of the present application;

FIG. 8 is a flow chart of order generation to order delivery provided by an embodiment of the present application;

FIG. 9 is a flow chart of implementing a second data scheduling scheme provided by an embodiment of the present application;

FIG. 10 is a flow chart of implementing material transfer and material flow scheduling when the total stock of the second material is less than or equal to the material demand number, provided in an embodiment of the present application;

FIG. 11 is a flow chart of a second vendor production event provided by an embodiment of the present application;

FIG. 12 is a schematic diagram of a second state intelligent algorithm model provided by an embodiment of the present application;

FIG. 13 is a flowchart of a third material matching implementation provided in an embodiment of the present application;

fig. 14 is a schematic diagram of a third state intelligent algorithm model provided in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The present application is further described below with reference to the drawings and specific examples. The described embodiments should not be construed as limitations on the present application, and all other embodiments, which may be made by those of ordinary skill in the art without the exercise of inventive faculty, are intended to be within the scope of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.

Before further describing embodiments of the present application in detail, the terms and expressions that are referred to in the embodiments of the present application are described, and are suitable for the following explanation.

(1) A quick response algorithm, i.e., a quick response algorithm, means that a manufacturer provides a customer with a corresponding product in a precise quantity, quality, and time, and minimizes delivery time, materials, labor, and inventory costs. At present, the quick response algorithm is widely applied to the field of logistics transportation, the field of supply chains and the like, has a state of good response and flexibility, and can quickly respond to demands of customers such as materials, commodity supply chains, logistics and the like.

(2) Fuzzy matching algorithm belongs to pattern matching technology. The pattern matching technology comprises fuzzy matching and accurate matching, the accurate matching has wide application in the field of computers, such as searching and replacing in text editing, the matching requirement is strict and accurate, and the implementation algorithm comprises a matching algorithm with backtracking, a KMP algorithm and the like. Whereas fuzzy matching has a large degree of flexibility and selectivity, fuzzy matching generally does not require an accurate matching result, and the purpose is to obtain a matching target with a certain degree of similarity. At present, fuzzy matching is mainly used for solving fuzzy comparison of natural language processing texts, is widely applied to feature similarity calculation, and determines whether repeated features exist or not through feature similarity calculation so as to achieve the purpose of screening the repeated features or filtering the repeated features.

(3) SKU (Stock Keeping Unit, minimum stock keeping unit), traditionally defined as the smallest available unit to hold inventory control, e.g., one SKU in a textile typically represents a specification, color, style; currently, SKUs refer to fruit bodies of commodities, and each SKU contains a unique Code, i.e., each product, commodity, and material corresponds to a SKU Code (SKU Code) that is used to price the commodity and manage the inventory of the commodity. SKUs are the smallest unit of inventory that is physically indistinguishable, by which a particular inventory of goods can be determined and matched accurately to a desired product, commodity, or material.

The warehouse is provided with a large amount of materials for coping with the uncoordinated supply and solving the material supply problem of temporary special tasks and bearing the tasks of material supply and guarantee. For example, when a shortage of materials occurs in a certain party in society, it is necessary to schedule corresponding materials in a warehouse to the party who has the shortage of materials in order to prevent the incongruity of material supply. When material scheduling is carried out, a corresponding material scheduling scheme is required to be formulated according to different material demand conditions, the material demand conditions can be divided according to the demand degree of the materials, and whether the material scheduling scheme reasonably determines the speed and reliability of the whole material scheduling link, such as the roles of suppliers, storage warehouses, logistics vehicles and the like participating in material scheduling, need to achieve seamless and efficient butt joint in links of purchasing efficiency, supply guarantee, information circulation and the like, and can realize the material demand of a quick response demand party and quick material delivery demand. In the actual material scheduling process, the roles of a plurality of participating in material scheduling are difficult to realize efficient butt joint, and the material scheduling scheme may have the problem of not meeting the material demand condition, so that the material demand of a demand party cannot be responded quickly and the demand material cannot be delivered quickly, the temporary problem occurs in the work or production of the demand party, and great loss is brought to the demand party seriously. Therefore, it is essential to secure supply of materials and respond to the material demands in time.

In order to quickly respond to the demand of a demand party for materials and realize quick delivery of the demand materials, the embodiment of the application provides a material guarantee supply method, which can make corresponding material matching modes and material scheduling schemes according to different material demand conditions. The material guarantee supply method is realized based on a quick response algorithm, the quick response algorithm is used for efficiently matching a supplier database, a commodity database, a quality evaluation database and a third party service library deposited by a platform with orders of clients, timely supply of materials in the warehouse, pre-distribution of materials in transit and reservation production of materials in shortage are realized, and a manager can monitor the whole-course dynamic supply in real time.

It should be noted that, the material guarantee supply method provided by the application can be applied to the situations of different material demand degrees, namely, a first state, a second state and a third state, wherein the material demand degree of the first state is greater than the material demand degree of the third state and less than the material demand degree of the second state, and corresponding material matching modes and material scheduling schemes are made according to different material demand degrees.

It can be understood that the demand level of the materials is proportional to the demand amount of the required materials and the delivery speed of the required materials, and the higher the demand level of the materials is, the higher the demand amount of the required materials is, the higher the demand of the demand party is, and the requirement on the delivery speed of the required materials is. In the application, the demand level of the material in the second state is higher than the demand level of the material in the first state, so that the demand level of the demand material in the second state is higher than the demand level of the demand material in the first state, and the demand on the delivery speed of the demand material in the second state is higher than the delivery speed of the demand material in the first state. Similarly, the demand level of the first state is higher than the demand level of the third state, so that the demand level of the demand material in the first state is higher than the demand level of the demand material in the third state, and the delivery speed of the demand material in the first state is higher than the delivery speed of the demand material in the third state.

In addition, the application also provides an intelligent middle stage, which builds four databases of the material guarantee service by relying on the original business deposit, and the four databases of the material guarantee service comprise: the intelligent algorithm model comprises a first state intelligent algorithm model, a second state intelligent algorithm model and a third state intelligent algorithm model, wherein the first state intelligent algorithm model is applied when a first state identifier is identified, the second state intelligent algorithm model is applied when a second state identifier is identified, and the third state intelligent algorithm model is applied when a third state identifier is identified. The intelligent middle platform is switched to a corresponding algorithm model according to the target state identification, the required materials of a requiring party can be rapidly allocated in a third state to ensure the storage of the materials, and is switched to a special scene supply system in a first state and a second state, the available manufacturer, supplier and service provider resources within 100 km and 200 km outside a required loop are intelligently matched through a rapid response algorithm, the required materials are purchased to a supporting area through setting up a supporting area, the existing stock of the required materials is rapidly collected through a database, the requirements of the requiring party on the materials are met while links such as material allocation, supply chain production and logistics allocation are effectively butted, and the rapid demand material delivery is realized.

Fig. 1 is a working flow chart of a material assurance providing method according to an embodiment of the present application, and referring to fig. 1, a process of implementing the material assurance providing method will be described and illustrated below. The material assurance supply method includes, but is not limited to, the following steps.

Material demand information from the demand side is acquired and identified.

It should be noted that the material demand information carries a target state identifier, where the target state identifier includes any one of a first state identifier, a second state identifier, or a third state identifier, and the application implements material matching under different situations according to the target state identifier.

It should be noted that, the material demand information includes SKU codes of the target material and its belonging first-stage classification, second-stage classification and third-stage classification, where the second-stage classification is obtained by subdivision of the first-stage classification, and the third-stage classification is obtained by subdivision of the second-stage classification.

Next, the classification of the first class, the second class, and the third class to which the target material belongs will be described by way of an example, referring to table 1 below, table 1 is a table of the classification of the first class, the second class, and the third class to which the target material belongs when the target material is a glossy photo paper.

TABLE 1

In table 1, according to a preset mapping table, when the first class classification is office paper, the classification set of the office paper subordinate is the second class classification, and the second class classification is subdivided by the first class classification to obtain: the second-stage classification comprises three sub-set classifications of printing paper, cashing paper and artistic paper, when the second-stage classification is printing paper, the subordinate classification set of the printing paper is a third-stage classification, and the third-stage classification is subdivided by the second-stage classification to obtain: third-level classifications of printing paper include computer printing paper, photo paper, and facsimile paper. According to table 1, when the target material is high-gloss suede photo paper, the first stage thereof is classified as office paper, the second stage thereof is classified as printing paper, and the third stage thereof is classified as photo paper.

When the material demand information is identified to carry the target state identification, a material matching mode corresponding to the target state identification is adopted, and a corresponding material matching result is output according to the material matching mode.

It should be noted that, the identification of the target state identifier as one of the three target state identifiers is performed by a preconfigured manner. The target state identifier is similar to a third common tag, can be a code such as a number, a word or a character, and can be generally and rapidly identified through a corresponding zone bit, for example, after receiving the material demand information, the target state identifier can be analyzed and identified in a mode such as a zone bit.

The material matching method corresponding to the target state identifier includes any one of a first material matching method, a second material matching method, and a third material matching method.

Transaction information from the requesting party is obtained and identified.

The transaction information includes: material delivery location, material delivery time, and material demand quantity.

When the transaction information is identified to carry the target state identification, adopting a material scheduling scheme corresponding to the target state identification, and performing material scheduling and material flow scheduling according to the transaction information and the material matching result.

It should be noted that, the transaction information carries a target state identifier, where the target state identifier includes any one of a first state identifier, a second state identifier or a third state identifier, and the application implements material allocation and material flow scheduling under different situations according to the target state identifier.

It should be noted that, the material scheduling scheme corresponding to the target state identifier includes any one of a first material scheduling scheme, a second material scheduling scheme, or a third material scheduling scheme.

Further, a material matching mode corresponding to the target state identifier is adopted, and a corresponding material matching result is output according to the material matching mode, including:

or when the material demand information is identified to carry the second state identifier, carrying out material matching according to the second-stage classification and the first database, and outputting a second material matching result.

In this step, when the first state identifier is identified, a first material matching mode is started, wherein the first material matching mode is a preset matching mode, and the matching principle is that material matching is performed according to the first-level classification and a preset first database, so as to output a first material matching result. And when the second state identifier is identified, starting a second material matching mode, wherein the second material matching mode is a preset matching mode, and the matching principle is that material matching is performed according to the second-stage classification and a preset first database, and a second material matching result is output. It is understood that the first material is a material required by the demander in the first state, and the second material is a material required by the demander in the second state.

It should be noted that, the material demand level of the second state is higher than the material demand level of the first state, the condition of the second state is to ensure both the quantity of the materials and the kind demand of the materials, and the condition of the first state is usually only required to meet the quantity of the materials, and does not need to consider too much the kinds of the materials, so that the second material matching mode is matched based on the second-stage classification, thereby being beneficial to ensuring the material quantity demand while ensuring the material kind demand, and the first material matching mode is matched based on the first-stage classification, so that the material quantity demand can be met.

Further, a material scheduling scheme corresponding to the target state identifier is adopted, material allocation and material flow scheduling are performed according to transaction information and material matching results, and the method comprises the following steps:

when the transaction information is identified to carry a first state identifier, a first material scheduling scheme is adopted, and material allocation and material flow scheduling are carried out at a preset first range and a first speed according to the transaction information and a first material matching result;

or when the transaction information is identified to carry the second state identifier, adopting a second material scheduling scheme to perform material allocation and material flow scheduling according to the transaction information and the second material matching result at a preset second range and second speed.

In the step, when the first state identifier is identified, a first material scheduling scheme is started, the first material scheduling scheme meets material requirements in the first state through three principles of loop matching resources, special vehicle guarantee transportation and speed priority benefit, and utilizes a quick response algorithm to schedule materials of a warehouse in a distance range preset by taking a place of the requirements as a circle center and transport the first materials through a TMS scheduling logistics vehicle, so that purchasing requirements of a demand party in the first state on the materials are met.

Meanwhile, in the step, when the second state identifier is identified, a second material scheduling scheme is started, the second material scheduling scheme meets the material demand in the second state through speed priority benefit, and a quick response algorithm is utilized to call all warehouses and vehicles in a distance range preset by taking the place of the demand as the circle center, so that the purchasing demand of a demand party in the second state on the material is ensured to be met.

The first range is smaller than the second range, and the first speed is smaller than the second speed.

It should be noted that, since the material demand level in the second state is higher than the material demand level in the first state, the second state should preferably satisfy the transportation efficiency of the material and the quantity demand of the material, and the transportation efficiency demand and the quantity demand of the material in the first state are lower than those in the second state, so the first range is set to be smaller than the second range, and the first speed is set to be smaller than the second speed.

A first material matching method is further described with reference to fig. 2, which is an embodiment of the present application. The implementation of the first material matching method may include, but is not limited to, the following steps.

When the condition that the material demand information carries the first state identification is identified, a first database is called, commodity matching is carried out according to the first-level classification, and commodities and inventory numbers thereof corresponding to the first-level classification are matched from the first database.

It should be noted that the first database corresponds to four databases of the security service of the intelligent center, and the first database stores basic information, SKU codes and first-level classification, second-level classification and third-level classification of a plurality of materials.

In the following, the matching of the products corresponding to the first level of classification from the first database when the first status identifier is identified will be further described by way of example, with reference again to table 1.

When the target material is high gloss suede photo paper, it can be seen from table 1: and carrying out commodity matching according to the first-stage classification of the high-gloss suede photographic paper according to a first material matching mode to obtain commodities corresponding to the first-stage classification of the high-gloss suede photographic paper because the target state identifier is identified as the first state identifier.

And outputting the commodities corresponding to the first-stage classification as a first material matching result when the inventory quantity of the commodities corresponding to the first-stage classification is smaller than or equal to a first matching inventory threshold.

It should be noted that, the first matching inventory threshold is determined according to the inventory number of the commodity corresponding to the first-level classification, the first matching inventory threshold is not limited by a numerical value, and the first matching inventory threshold may be determined according to actual situations.

It should be noted that, the first matching inventory threshold value dynamically corrects the product overflow according to the actual order delivery success rate.

In this step, since the commodities corresponding to the first-stage classification are obtained through first-stage classification matching, the first-stage classification covers a large number of material types, if all the commodities corresponding to the first-stage classification are considered to be output as the first material matching result, the material stock will overflow, a phenomenon that the supply is greater than the demand is formed, and the material shortage of the type in part of the warehouse may be caused. In order to avoid the problem, a first matching inventory threshold is set as a condition for limiting the commodities corresponding to the first-stage classification, and when the inventory number of the commodities corresponding to the first-stage classification is not greater than the first matching inventory threshold, the commodities corresponding to the first-stage classification are regarded as the phenomenon that the commodities do not overflow, and at the moment, the commodities corresponding to the first-stage classification are output as a first material matching result.

When the inventory quantity of the commodities corresponding to the first-stage classification is larger than a first matching inventory threshold value, screening the commodities corresponding to the first-stage classification according to the first matching inventory threshold value, and outputting a screening result as a first material matching result.

In this step, when the inventory number of the commodities corresponding to the first-stage classification is greater than a first matching inventory threshold, it is indicated that the inventory of the commodities corresponding to the first-stage classification overflows, and a situation that supply and demand are greater than or equal to each other easily occurs, and at this time, the commodities corresponding to the first-stage classification need to be screened according to the first matching inventory threshold, and the screened result is output as a first material matching result.

Optionally, the screening of the commodities corresponding to the first-stage classification according to the first matching inventory threshold specifically includes:

calculating a difference value between a first matching inventory threshold value and the inventory quantity of the commodity corresponding to the first-level classification;

and calculating the similarity between the commodities corresponding to the first-stage classification and the target materials, and screening the commodities corresponding to the first-stage classification according to the similarity result until the inventory quantity of the commodities corresponding to the first-stage classification is equal to a first matching inventory threshold.

The products with low similarity result are screened first than the products with high similarity result.

Referring to fig. 3, a further description of a first material scheduling scheme is provided in an embodiment of the present application, and the implementation of the first material scheduling scheme may include, but is not limited to, the following steps.

And taking the warehouse in the first range expanded outwards by taking the material delivery place as the center of a circle as a first material resource library.

In this step, the transaction information includes a material delivery location, a material delivery time, and a material demand quantity, and the material delivery location can be a crop material demand point. Because the current state is the first state, a warehouse closer to the material delivery site should be preferentially selected, and all materials in the first material resource library within the range need to be ensured to cover the first material. Therefore, in the application, the warehouse in the first range is outwards expanded by taking the material delivery site as the center of a circle to serve as the first material resource library, so that the material can be delivered to the material delivery site quickly.

Alternatively, the first range may be 20%, or other percentage values.

And searching the first materials in the first material resource library and the total stock number according to the first material matching result.

In the step, according to the first material matching result, first materials corresponding to the first material matching result in a first material resource library are searched, and lower limit calculation is performed on the first materials in the first material resource library, so that the total stock number of the first materials is obtained.

When the total stock number of the first materials is larger than the material demand number, the logistics vehicles in the first range are outwards expanded by taking the material delivery site as the center of a circle to serve as the first material transportation vehicles.

In this step, because the first material resource library includes a warehouse with the material delivery location as the center of circle and expanding the first range outwards, in order to ensure the transportation efficiency of the first material, the present application selects a logistics vehicle with the material delivery location as the center of circle and expanding the first range outwards as the first material transportation vehicle, so as to ensure the timely delivery of the first material. Alternatively, the first range may be 20%, or other percentage values.

And inquiring the carrying capacity and carrying range of the first material conveying vehicle, and distributing the carrying capacity of the first material conveying vehicle according to the carrying capacity and carrying range of the first material conveying vehicle and the first weight ratio.

In this step, after the first material transportation vehicles are matched, the carrying capacity and the carrying range of the first material transportation vehicles need to be acquired, the carrying capacity is the maximum carrying capacity of the vehicles, the carrying range is the carrying radius of the vehicles, the weight ratio of the carrying capacity and the carrying range of the first material transportation vehicles, namely, the first weight ratio, is set, and the carrying capacity of each first material transportation vehicle is distributed by taking the weight ratio of the carrying capacity and the carrying range of the first material transportation vehicles as a reference. Meanwhile, according to the weight of the first material transportation vehicles and the material demand quantity, the first material quantity required to be transported by each first material transportation vehicle is reasonably distributed, so that each first material transportation vehicle is guaranteed to rapidly deliver the first material, and the transportation efficiency of the first material transportation vehicles is guaranteed.

The first weight ratio is set to be the capacity of the first material transport vehicle: the carrying range of the first material transporting vehicle=6:4.

It should be noted that, the transportation amount of the first material transportation vehicle satisfies the following formula:

first material transport amount of first material transport vehicle = first material transport vehicle weight x material demand number;

it should be noted that, the weight of the first material transportation vehicle satisfies the following formula:

and allocating the first material transportation vehicle according to a preset first transportation condition, and transporting the first material by adopting the allocated first material transportation vehicle.

The first transportation condition is that the material demand quantity is given a first weight, and the capacity of the first material transportation vehicle is greater than or equal to the material demand quantity given the first weight.

In the step, because the original logistics line meets daily logistics requirements, in order to prevent the first material transport vehicles from overflowing too much, the order response is not timely and exceeds the actual bearable range of the order link, the step takes historical order data as the basis for initial calculation, and the first material transport vehicles are subjected to allocation analysis every twelve hours according to the actual order.

Alternatively, the first weight may be 80%, or may be another percentage value.

If the first material transporting vehicle cannot meet the first transporting condition, the first material transporting vehicle is allocated according to the maximum transporting capacity of the first material transporting vehicle. Other situations in deploying a first asset transport vehicle are contemplated herein. When the carrying capacity of all the first material transporting vehicles cannot meet the first transporting condition, another allocation scheme is needed to ensure the timely delivery of the first material, so that the condition of slow delivery of the material is prevented. In view of the above, the present application deploys the first material transportation vehicle according to the maximum capacity of the first material transportation vehicle.

Referring to fig. 4, an embodiment of the present application further illustrates material scheduling and material scheduling when the total inventory of the first material is less than or equal to the material demand, which may include, but is not limited to, the following steps.

And expanding the warehouse outside the first range outwards by taking the material delivery place as a center of a circle to serve as a first material supporting area.

It should be noted that, when the materials in the first material resource library are short, other resource libraries are required to allocate the materials to the first material resource library, so as to avoid the situation of material shortage and ensure the supply of the first materials. Therefore, in the present application, in addition to the first material resource library, a warehouse outside the first range is used as the first material supporting area, which uses the material delivery place as the center of the circle, and when the shortage phenomenon occurs in the materials in the first material resource library, the supply of the first material is ensured by allocating the first material reserved in the first material supporting area to the first material resource library.

When the total stock number of the first materials is smaller than or equal to the material demand number, calculating a difference value between the total stock number of the first materials and the material demand number, and recording the difference value as a first material support number;

searching a first material and a total stock number in the first material supporting area according to the first material supporting number;

and when the total stock number of the first materials in the first material supporting area is larger than the first material supporting quantity, transporting the first materials meeting the first material supporting quantity in the first material supporting area to a first material resource library.

In this embodiment, when the total inventory number of the first materials is less than or equal to the required quantity of the materials, the missing materials are required to be retrieved from the first material supporting area to the first material resource pool so as to ensure the inventory quantity of the first materials. Firstly, calculating the difference between the total stock number of the first materials and the material demand number, outputting a first material supporting number, wherein the first material supporting number is the materials lacking in a first material resource library and the number thereof, searching the first materials stored in a first material supporting area according to the first material supporting number, and when the total stock number of the first materials in the first material supporting area is larger than the first material supporting number, transporting the first materials meeting the first material supporting number in the first material supporting area to a first material resource library so as to supplement the first material stock of the first material resource library, thereby ensuring that the first material resource library can provide materials to a material delivery place in time.

Further, when the total stock number of the first supplies in the first supply support area is less than or equal to the first supply support number, a first supplier production event is triggered.

Referring to FIG. 5, further describing a first vendor production event, operations performed by the first vendor production event may include, but are not limited to, the following steps.

Collecting the position information of the first material resource library and the position information of the supplier, and calculating a first transportation distance of the supplier according to the position information of the first material resource library and the position information of the supplier;

and collecting a first material delivery date of the supplier, calculating a supplier score according to the first material delivery date, the first transportation distance and the second weight ratio, and controlling the supplier to produce the first material according to the supplier score.

It should be noted that the second weight ratio satisfies the first material delivery period: first transportation distance=6:4.

It should be noted that, suppliers with high supplier scores are produced earlier than suppliers with low supplier scores.

And collecting logistics vehicle information of the suppliers, and dispatching logistics vehicles for transporting the first materials produced by the suppliers according to the logistics vehicle information.

The logistics vehicle information includes: the carrying capacity of the logistics vehicles, the carrying range of the logistics vehicles and the transportation cost of the logistics vehicles, wherein the carrying range is defined as a circle where the longitude and latitude and the radius of the logistics vehicles are located, and the transportation cost is defined as the transportation cost calculated per kilometer under the condition of full load.

In the step, the supplier executes the first material production and collects the logistics vehicle information of the supplier, the logistics vehicle information is used as a reference for dispatching the logistics vehicle, the transportation cost of the logistics vehicle is reduced as much as possible while the maximum transportation efficiency of the logistics vehicle is ensured, and the transportation of the first material is realized with high efficiency and low cost.

In the process of transporting first materials by the logistics vehicle, the real-time information of the logistics vehicle is collected and logistics monitoring is carried out.

It should be noted that, the real-time information of the logistics vehicle includes: the method comprises the steps of current position information of a logistics vehicle, driver information of the logistics vehicle, first material information carried by the logistics vehicle and transportation state of the logistics vehicle.

In the step, the transportation of the first material is monitored in real time by collecting real-time information of the logistics vehicle, so that the first material is ensured to be transported to the first material resource library in time. And triggering a logistics alarm when the real-time information of the logistics vehicle exceeds a certain time range and is unchanged.

Based on the above embodiments, the workflow and working principle of the first material matching manner and the first material scheduling scheme and the advantageous effects will be further described below by way of an example.

Referring to fig. 6 to fig. 8, fig. 6 is a schematic diagram of a supply range of the first material scheduling scheme provided in the embodiment of the present application, in fig. 6, a warehouse that extends outwards by less than 100 km with a material delivery location as a center is regarded as a demand supply optimal area, a warehouse that extends outwards by less than 200 km with a material delivery location as a center is regarded as a first material resource library, and a warehouse that extends outwards by less than 200 km with a material delivery location as a center is regarded as a first material support area. FIG. 7 is a schematic diagram of a first state intelligent algorithm model according to an embodiment of the present disclosure; FIG. 8 is a flow chart of order generation to order delivery provided by an embodiment of the present application. The process of order generation to material delivery in the first state will be described and illustrated with reference to fig. 6 to 8.

When the material guarantee supply method is used in the first state, after the first state identification is identified, the intelligent middle platform is switched to a preset first state intelligent algorithm model, the first material matching mode and the first material scheduling scheme are realized based on the first state intelligent algorithm model, and the first state intelligent algorithm model takes rapid delivery as priority to generate the first material matching mode and the first material scheduling scheme. The first state intelligent algorithm model meets the first purchasing requirement through the principles of loop matching resources, special vehicle guaranteed transportation and speed priority benefit.

The implementation process of the first state algorithm model is as follows: and carrying out resource positioning according to the required materials to obtain a global supply chain resource library, a domestic supply chain resource library and F2G short chain direct supply, distributing the required materials through the global supply chain resource library and the domestic supply chain resource library, and distributing the required materials to a required party by F2G exercise direct supply mode factory supply direct distribution.

The demand side can send material demand information to the intelligent center through terminal equipment such as a mobile phone, a tablet personal computer, an intelligent watch and an intelligent bracelet under a first state, wherein the material demand information carries a first state identifier, and the intelligent center is switched to a preset first state intelligent algorithm model after recognizing the first state identifier.

When the materials are matched, the intelligent middle platform starts a first material matching mode, a first database is called, commodity matching is carried out according to the first-level classification, whether the inventory quantity of commodities corresponding to the first-level classification exceeds a first matching inventory threshold value is considered, and a first material matching result is output and returned to the demander. After the first material matching result is obtained by the demand party, determining that the first material matching result is the material required by the demand party, and then sending transaction information to the intelligent center station.

The intelligent center station recognizes a first state identifier carried by the transaction information, starts a first material scheduling scheme and enters a first flow. The intelligent center station intelligently matches manufacturer, supplier and service provider resources which can be used within 100 km and 200 km by taking a material delivery place as a center of a circle through a quick response algorithm, realizes resource positioning, takes the manufacturer, supplier and service provider resources as a first material resource library to realize material allocation and logistics scheduling, ensures that the first material is delivered to a requiring party in time, and realizes supply and demand seamless butt joint. And the available manufacturer, supplier and service provider resources which are outside the 200 km are expanded outwards by taking the material delivery place as the center of a circle and serve as a first material supporting area, when the first material in the first material resource library is in shortage, the first material supporting area dispatches the first material stored in the first material supporting area to the first material resource library so as to fill the first material lacking in the first material resource library, and the supply of the first resource is ensured. Meanwhile, when the first material resource library and the first material of the first material supporting area are in shortage, the intelligent middle station triggers a first supplier production event through an F2G short-chain direct supply mode, and supplies of the material of the demander are guaranteed.

The invention fully plays the inherent advantages of large-scale collection and regulation treatment of big data through a quick response algorithm, such as dynamic collection and reserve data, instant material transmission demand, flexible dispatch and reserve unit, timely delivery of mobilization materials and the like, ensures that the quantity, time, line and place of logistics material supply are accurate, thereby realizing quick response of material demand and quick delivery of demand materials, quickly releasing supply chain capacity, quickly converting economic strength into supply capacity, saving a large amount of material reserve resources, pushing the logistics material supply to be closely attached to material guarantee demand, and realizing seamless butt joint of supply and demand.

Based on the above embodiments, the second resource matching method will be described and illustrated, and the implementation process of the second resource matching method includes, but is not limited to, the following steps.

When the material demand information is identified to carry the second state identifier, performing material matching according to the second-stage classification and the first database, and outputting a second material matching result, wherein the second material matching result comprises:

and when the material demand information is identified to carry the second state identification, the first database is called, commodity matching is carried out according to the second-stage classification, commodities corresponding to the second-stage classification are matched from the first database, and the commodities corresponding to the second-stage classification are output as a second material matching result.

In the following, the matching of products according to the second level classification when the second status identification is identified will be described by way of example, please refer to the table 1 again.

When the target material is the high-gloss suede photographic paper, the second-stage classification of the high-gloss suede photographic paper is obtained through the table 1, and when the second material matching mode is executed, commodity matching is carried out according to the second-stage classification of the high-gloss suede photographic paper, and all commodities corresponding to the second-stage classification are taken as second preset materials.

It should be noted that, the second material matching mode is different from the first material matching mode in that the material demand in the second state is far greater than that in the first state, so that the second material matching mode does not need to consider the stock overflow of the materials, and outputs all the commodities corresponding to the second classification as the second material matching result.

Referring to fig. 9, a further description of a second data scheduling scheme is provided in an embodiment of the present application, where the implementation of the second data scheduling scheme may include, but is not limited to, the following steps.

And expanding the warehouse in the second range outwards by taking the material delivery place as a circle center to serve as a second material resource library.

In this step, the transaction information includes a material delivery location, a material delivery time, and a material demand quantity, and the material delivery location can be a crop material demand point. Because the current state is the second state, the material scheduling principle of the second state follows the speed priority benefit, so that the warehouse close to the material delivery place is preferentially selected as the second material resource library. Meanwhile, as the material demand of the second state is large, compared with the first state, the warehouse with a larger range is used as the second material resource library in the second state, and the warehouse with the material delivery place as the center of a circle and in the second range is selected as the second material resource library in the application, so that the quantity of delivered materials can meet the quantity of material demands, and the materials can be delivered to a demand side rapidly.

Alternatively, the second range may be 50%, or other percentage values, but the second range must be greater than the first range.

And searching the second materials and the total stock number thereof in the second material resource library according to the second material matching result.

In the step, according to the second resource matching result, searching the second resource corresponding to the second resource matching result in the second resource library, and performing lower limit calculation on the second resource in the second resource library to obtain the total stock number of the second resource.

And when the total stock number of the second materials is larger than the material demand number, expanding the logistics vehicles in the second range outwards by using the material delivery sites as second material transportation vehicles.

In this step, since the second resource library includes a warehouse with the material delivery location as the center of circle and expanding the second area outwards, in order to ensure the transportation efficiency of the second material, the present application selects a logistics vehicle with the material delivery location as the center of circle and expanding the second area outwards as the second material transportation vehicle, so as to ensure the timely delivery of the second material.

And inquiring the carrying capacity and carrying range of the second asset transport vehicle, and distributing the carrying capacity of the second asset transport vehicle according to the carrying capacity and carrying range of the second asset transport vehicle and the third weight ratio.

The third weight ratio satisfies the capacity of the second data carrier vehicle: the carrying range of the second data transport vehicle=6:4.

The transportation amount of the second materials transportation vehicle satisfies the following formula:

the transport amount of the second asset transport vehicle=the weight of the second asset transport vehicle×the required amount of the asset.

It should be noted that the second data transport vehicle weight satisfies the following formula:

in the step, the second material quantity required to be transported by each second material transport vehicle is reasonably distributed according to the weight and the material demand quantity of the second material transport vehicles, so that each second material transport vehicle is guaranteed to rapidly deliver the second material with the largest possible carrying capacity, and the transport efficiency of the second material transport vehicles is guaranteed.

And allocating the second material transportation vehicle according to the preset second transportation conditions, and transporting the second material by using the allocated second material transportation vehicle.

The second transportation condition is that the material demand quantity is given a second weight, and the capacity of the second material transportation vehicle is greater than or equal to the material demand quantity given the second weight.

In this step, since the original logistics line already meets the daily logistics requirement, in order to prevent the untimely order response and exceeding the actual bearable range of the order link caused by the overlarge quantity of the second data transport vehicles, the present application sets the second transportation condition, uses the historical order data as the basis for initial calculation, and performs the allocation analysis every twelve hours according to the actual order.

Alternatively, the second weight may be 80%, or may be another percentage value.

In one embodiment, when the second asset transport vehicle fails to meet the second transportation condition, the allocation is performed according to the maximum capacity of the second asset transport vehicle.

This embodiment contemplates other situations in the deployment of the second asset transport vehicle. When the capacity of all the second materials transporting vehicles cannot meet the second transporting condition, another allocation scheme is needed to realize timely delivery of the second materials. When this occurs, the present application deploys according to the maximum capacity of the second data transport vehicle.

Referring to fig. 10, in one embodiment of the present application, the material allocation and material flow scheduling when the total inventory of the second material is less than or equal to the material demand may include, but is not limited to, the following steps.

And expanding the warehouse outside the second range outwards by taking the material delivery place as a center of a circle to serve as a second material supporting area.

It should be noted that, when the materials in the second materials resource library are short, other resource libraries are required to allocate the materials to the second materials resource library, so as to avoid the situation of material shortage and ensure the supply of the second materials. Therefore, in the present application, in addition to the provision of the second resource library, the warehouse outside the second range is extended outward with the material delivery site as the center of the circle as the support area, and when the shortage phenomenon occurs in the materials in the second resource library, the supply of the second materials is ensured by allocating the second materials in the second resource support area to the second resource library.

When the total stock number of the second materials is smaller than or equal to the material demand number, calculating a difference value between the total stock number of the second materials and the material demand number, and recording the difference value as a second material support number;

searching the second data in the second data supporting area and the total stock number according to the second data supporting quantity;

and when the total stock number of the second materials in the second material supporting area is larger than the second material supporting quantity, transporting the second materials meeting the second material supporting quantity in the second material supporting area to a second material resource library.

In this embodiment, when the total inventory number of the second resource is not greater than the required quantity of the second resource, the missing material is required to be retrieved from the second resource supporting area to the second resource pool, so as to ensure the inventory number of the second resource. Firstly, calculating the difference between the total stock number of the second materials and the material demand number, outputting a second material supporting number, wherein the second material supporting number is the materials and the number thereof which are lack by a second material resource library, searching the second materials stored in a second material supporting area according to a second material matching result and the second material supporting number, and when the total stock number of the second materials in the second material supporting area is larger than the second material supporting number, the second material supporting area conveys the second materials meeting the second material supporting number to the second material resource library so as to supplement the second material stock of the second material resource library and ensure that the second material resource library can timely provide the materials to a material delivery place.

In one embodiment, a second vendor production event is triggered when the total inventory of second assets in the second asset support area is less than or equal to the second asset support amount.

In one embodiment of the present application, a second vendor production event is further described, which may include, but is not limited to, the following steps, as illustrated in fig. 11.

Collecting position information of a second resource library and position information of a provider, and calculating a second transportation distance of the provider according to the position information of the second resource library and the position information of the provider;

and acquiring a second material delivery date of the supplier, calculating a supplier score according to the second material delivery date, the second transportation distance and the fourth weight ratio, and controlling the supplier to produce the first material according to the supplier score.

Note that, the fourth weight ratio satisfies: a second asset delivery date: second transportation distance = 8:2.

it should be noted that, setting the fourth weight ratio in the second state satisfies the second data delivery period: second transportation distance = 8:2 is that the material dispatch in the second state follows the speed priority benefit, i.e. the material delivery is performed with the delivery efficiency as the maximum priority, and thus the weight ratio of the second material delivery period needs to be much larger than the second transportation distance.

It should be noted that, suppliers with high supplier scores are produced earlier than suppliers with low supplier scores. And calculating to obtain a provider score according to the second resource delivery date given by the provider and the distance between the provider and the second resource library, wherein the provider score is proportional to the production priority of the provider, and the higher the provider score is, the higher the production priority is, and the higher the probability that the provider preferentially produces the second resource is.

And collecting logistics vehicle information of the suppliers, and dispatching logistics vehicles for transporting second materials produced by the suppliers according to the logistics vehicle information.

In the step, while the supplier executes the second material production, the logistics vehicle information of the supplier is collected, the logistics vehicle information is used as a reference for dispatching the logistics vehicle, the transportation cost of the logistics vehicle is reduced as much as possible while the maximum transportation efficiency of the logistics vehicle is ensured, and the transportation of the second material is realized with high efficiency and low cost.

And in the process of transporting the second materials by the logistics vehicle, collecting real-time information of the logistics vehicle and carrying out logistics monitoring.

It should be noted that, the real-time information of the logistics vehicle includes: the current position information of the logistics vehicle, the driver information of the logistics vehicle, the second information carried by the logistics vehicle and the transportation state of the logistics vehicle.

In the step, the transportation of the second materials is monitored in real time by collecting real-time information of the logistics vehicles, so that the second materials are ensured to be transported to the second material resource library in time. And triggering a logistics alarm when the real-time information of the logistics vehicle exceeds a certain time range and is unchanged.

Based on the above-described embodiments, the workflow and the working principle of the material assurance supply method in the second state and the advantageous effects will be further described below with an example.

Referring to fig. 8 and 12, fig. 8 is a flowchart illustrating an order generation to order delivery provided in an embodiment of the present application, and fig. 12 is a schematic diagram of a second state intelligent algorithm model provided in an embodiment of the present application. When the material guarantee supply method is used in the second state, the intelligent center station identifies the second state identifier and then switches to the preset second state intelligent algorithm model, the second material matching mode and the second material scheduling scheme are realized based on the second state intelligent algorithm, the second state intelligent algorithm takes the demand place as the center of a circle, the warehouse and the vehicles are all called within 800 kilometers, and purchase of a supply chain is started preferentially, so that the warehouse is full of materials, and the stock quantity of the materials can meet the material demand. The second state intelligent algorithm meets the material demands through a speed priority benefit principle.

The implementation process of the second state intelligent algorithm model is as follows: and according to purchasing demand details (such as material demand information), delivery time and delivery places (such as transaction information) provided by the demand side, a provider database, a commodity database, a quality evaluation database and a third party service database are called through a second state intelligent algorithm model to take delivery priority as a material scheduling principle, and a second material matching mode and a second material scheduling scheme are generated by combining other optimization systems.

Specifically, the demand party can send material demand information through terminal equipment such as a mobile phone, a tablet personal computer, a smart watch and a smart bracelet in a second state, wherein the material demand information carries a second state identifier, the smart middle station receives the material demand information and performs state analysis on the current situation according to the second state identifier, and the smart middle station is switched to a preset second state smart algorithm model after recognizing the second state identifier.

When matching materials, the intelligent center starts a second material matching mode. The intelligent center station invokes the first database, performs commodity matching according to the second-stage classification, and outputs a second commodity matching result after commodity matching and returns to the demander without considering inventory overflow of commodities. After the second material matching result is obtained by the demand party, determining the second material matching result as the material required by the demand party, and then sending transaction information to the intelligent center station.

And identifying a second state identifier when the intelligent intermediate station acquires the transaction information, and starting a second resource scheduling scheme. The intelligent center station intelligently matches manufacturer, supplier and service provider resources which can be used within 800 kilometers by taking a material delivery place as a circle center through a quick response algorithm, realizes resource positioning, takes the manufacturer, supplier and service provider resources as a second material resource library to realize material allocation and material flow scheduling, ensures that the second material is delivered to a demand party in time, and realizes seamless supply and demand butt joint. And the available manufacturer, supplier and service provider resources outside 800 km are outwards expanded by taking the material delivery place as the center of a circle, and are used as a second material supporting area, when the second material in the second material resource library is in shortage, the second material supporting area dispatches the stored second material to the second material resource library so as to fill the second material lacking in the second material resource library, thereby guaranteeing the supply of the second resource. When the second material resource library and the first material of the second material supporting area are both in shortage, triggering a second supplier production event to ensure the supply of the material.

According to the invention, large-scale data acquisition is fully performed through the supplier database, the commodity database, the quality evaluation database and the third party database based on the quick response algorithm, so that the supply chain capacity of material purchasing demands is ensured, the material guarantee work is satisfied from demand to supply, the technical requirement is higher, the market supply is satisfied while the material demands are generated, the supply and demand synchronization is ensured, and when the second state is faced, the requirements of the materials of a demander can be responded quickly, the demanded materials can be delivered quickly, and the on-demand supply can be realized.

Optionally, in the first state and the second state, the application further provides an alternative material purchasing fuzzy algorithm recommendation, and the alternative material purchasing fuzzy algorithm recommendation is based on an alternative material database, so that when certain required materials are in tension, the alternative materials can be accurately matched, and the supply requirements of the materials can be responded quickly.

In one embodiment, the implementation process of the alternative material purchase fuzzy algorithm comprises the following steps:

collecting classification and attribute of materials with tension supply;

according to the classification and the attribute of the materials with the shortage of supply and combining with the coincidence degree calculation rule, searching the commodities with the coincidence degree larger than the preset first coincidence degree threshold value in the first database, and outputting the commodities with the coincidence degree larger than the preset first coincidence degree threshold value as the replaceable materials.

The above-mentioned degree of coincidence calculation rule is defined as calculating the degree of coincidence of the products in the first database by giving a first weight to the category and giving a second weight to the attribute.

It should be noted that the first weight and the second weight may be determined according to practical situations. Optionally, the first weight is 60%, and the second weight is 40%.

Note that, the contact ratio calculation rule may also be defined as that the contact ratio of the commodity in the first database is obtained through attribute calculation.

It should be noted that, the first contact ratio threshold may be determined according to actual use conditions, and the present application is not limited by a numerical value.

The following describes and illustrates the commodity coincidence degree obtained by attribute calculation by an example, and further the matching can replace the materials. Setting a supply-tense material as a material, wherein the commodity attribute set of the a material is a= { a: a1, b: b1, c: c1}, and the commodity of the first database comprises a B commodity and a C commodity, wherein the commodity attribute set of the B commodity is b= { a: a1, b: b2}, the commodity attribute set of the C supplies is c= { a: a1, b: b1, c: c2}. B supplies for A supplies, the commodity attribute set of B supplies is the same as that of A supplies in that "a: a1", so that the overlap ratio of the material B to the material A is: 50%, and the commodity attribute set of the material C is the same as that of the material a in that "a: a1, b: b1", so the overlap ratio of the material C to the material A is 66.6%. When the overlap ratio of the B material and the C material is larger than the first overlap ratio threshold, the B material and the C material can replace the materials.

Based on the above embodiments, a description and an explanation are given below of a process of realizing the material matching and the material allocation when the third status identifier is identified in the material guarantee providing method. The third state is lower in material demand than the first state and the second state, so that the third state is lower in material demand than the first state and the second state, and the third state is lower in material delivery speed than the first state and the second state.

The method adopts a material matching mode corresponding to the target state identifier, outputs a corresponding material matching result according to the material matching mode, and further comprises the following steps:

and when the material demand information is identified to carry the third state identification, carrying out material matching according to the third-level classification and a preset first database, and outputting a third material matching result.

In this step, the third material matching mode is a preset matching mode, and the matching principle is that the material matching is performed according to the third-level classification to which the target material belongs and the preset first database, and if the stock of the matched material overflows, the commodity screening is performed according to the set overflow range.

The material scheduling scheme corresponding to the target state identifier is adopted to perform material allocation and material flow scheduling according to the transaction information and the material matching result, and the method further comprises the following steps:

when the transaction information is identified to carry the third state identifier, a third state identifier scheduling scheme is adopted, and material allocation and material scheduling are carried out at a preset third range and third speed according to the transaction information and a third material matching result.

The third range is larger than the second range, and the third speed is smaller than the first speed.

It should be noted that, the demand level of the materials in the third state is lower than the demand level of the materials in the first state, and the demand level of the materials in the first state is lower than the demand level of the materials in the second state, so that the demand on the delivery speed of the materials in the third state is lower than the demand on the delivery speed of the materials in the first state, and the demand on the delivery speed of the materials in the first state is lower than the demand on the delivery speed of the materials in the second state, that is, the third state generally only requires that the goods be delivered within a specified time, and the first state requires that the goods be delivered as soon as possible within a specified time, and the second state requires that the goods be delivered as soon as possible. In this regard, when the third status identifier is identified, the material allocation and material scheduling are performed at a preset third range and third speed, when the first status identifier is identified, the material allocation and material scheduling are performed at a preset first range and first speed, and when the second status identifier is identified, the material allocation and material scheduling are performed at a preset second range and second speed, wherein the relationship among the first speed, the second speed and the third speed is as follows: the second speed > the first speed > the third speed.

In this step, the third material purchasing requirement is satisfied by the cost-first benefit and the material satisfaction rate-first benefit. Specifically, three dimension indexes are set, wherein the three dimension indexes are cost, delivery efficiency and material quality respectively, each dimension index corresponds to different priorities, the priority of the cost dimension index is highest, the priority of the material quality is next, the priority of the delivery efficiency is lowest, the cost, the historical delivery efficiency and the material quality of the quality matching result are collected and maintained according to the three dimension indexes, the material with low cost, the historical delivery efficiency and the high material quality are collected preferentially to serve as third-state material, and logistics are reasonably scheduled to convey the third-state material to a material delivery place, so that quality and quantity conservation are realized, and one-stop purchasing requirements of a buyer are met.

Referring to fig. 13, a third material matching method is further described in an embodiment of the present application, and the implementation process of the third material matching method may include, but is not limited to, the following steps.

And when the material demand information is identified to carry the third state identification, the first database is called, commodity matching is carried out according to the third-level classification, and the commodities and the inventory quantity thereof corresponding to the third-level classification are matched from the first database.

The process of matching products according to the third level classification will be described with reference to table 1 again.

When the target material is the high-gloss suede photo paper, the third-level classification of the high-gloss suede photo paper is known to be photo paper through the table 1, and under the third state, commodity matching is performed according to the third-level classification of the high-gloss suede photo paper, so that the commodity and the stock quantity corresponding to the third-level classification of the high-gloss suede photo paper are obtained.

It should be noted that, the material demand degree of the first state and the second state is higher than that of the third state, so that in order to achieve the similarity and the maximum number of material matching in the first state and the second state, the first state performs material matching through the first-stage classification, and the second state performs material matching through the second-stage classification; and carry out material matching and material dispatch under the third state, in order to guarantee that the material reserve of demand side is sufficient so as to deal with the emergence of first state and second state, consequently in order to reach the similarity and the maximization of quantity of material matching under the third state, the third state carries out the material matching through third level classification, guarantees promptly that the similarity of the material that matches and demand material is maximized, can guarantee the demand side again to the reserve demand of material.

And outputting the commodities corresponding to the third-level classification as a third material matching result when the inventory quantity of the commodities corresponding to the third-level classification is smaller than or equal to a second matching inventory threshold value.

The second matching inventory threshold may be 80% of the inventory amount of the commodity corresponding to the third-level classification, or may be other percentages of the inventory amount of the commodity corresponding to the third-level classification, where the second matching inventory threshold is not limited herein, and the actual value of the second matching inventory threshold may be determined according to the actual situation.

And when the inventory quantity of the commodities corresponding to the third-level classification is larger than the second matching inventory threshold, screening the commodities corresponding to the third-level classification according to the second matching inventory threshold, and outputting the screening result as a third material matching result.

In this step, since the commodity corresponding to the third-level classification is obtained by third-level classification matching, the third-level classification covers the material class similar to the material demand information, and if all the materials included in the third-level classification are considered, the material included in the third-level classification is in shortage, so that the phenomenon of supply and supply shortage is formed. In order to avoid the problem, the method sets a second matching inventory threshold as a condition for limiting the commodities corresponding to the third-level classification, screens the commodities corresponding to the third-level classification meeting a second matching inventory range, and outputs the commodities corresponding to the third-level classification remaining after screening as a third material matching result.

Based on the above embodiments, the workflow and working principle of the third material matching method and the third material scheduling scheme and the advantageous effects will be further described below with an example. Referring to fig. 8 and 14, fig. 8 is a flowchart of order generation to order delivery provided in an embodiment of the present application, and fig. 14 is a schematic diagram of a third state intelligent algorithm model provided in an embodiment of the present application. When the material guarantee supply method is applied to the third state, the intelligent center station identifies the third state identifier and then switches to the third state intelligent algorithm model, the third material matching mode and the third material scheduling scheme are realized based on the third state intelligent algorithm model, the third state intelligent algorithm model takes cost and satisfaction rate as priority, the third material matching mode and the third material scheduling scheme are generated, quality and quantity are guaranteed, and one-stop purchasing requirements of a demand party are met.

The implementation process of the third state intelligent algorithm model is as follows: according to purchasing demand details (such as material demand information), delivery time and delivery places (such as transaction information) provided by a demand party, a supplier database, a commodity database, a quality evaluation database and a third party service database are called through a third state intelligent algorithm model, and a purchasing execution scheme is generated by taking cost priority, delivery efficiency priority and material quality priority as material scheduling principles.

Specifically, the demander can send material demand information through terminal equipment such as a mobile phone, a tablet personal computer, a smart watch and a smart bracelet in a third state, wherein the material demand information carries a third state identifier, the smart middle station receives the material demand information, performs state analysis on the current situation according to the third state identifier, and switches to a preset third state smart algorithm model after recognizing the third state identifier.

When the materials are matched, the intelligent center station starts a third material matching mode. The intelligent center station invokes the first database, performs commodity matching according to the third-level classification of the target materials, considers whether the first numerical range is exceeded or not, performs commodity screening, outputs a third material matching result and returns to the demander. After the demand side obtains the third material matching result, determining the third material matching result as the material required by the demand side, and then sending transaction information to the intelligent center station.

After the transaction information is acquired, the intelligent center station identifies a third state identifier, starts a third material scheduling scheme and enters a material matching process in a third state. The intelligent middle platform matches available manufacturer, supplier and server resources with lower cost, higher delivery efficiency and higher material quality through a quick response algorithm, realizes resource positioning, and simultaneously dispatches logistics vehicles to transport materials in a third state.

It should be noted that, the above purchasing process may be performed by linking to a well-known e-commerce platform, and the third state intelligent algorithm model of the present application provides purchasing services with both efficiency and benefit, accumulates data in the purchasing process, and provides data support for the first state and the second state.

In addition, the application also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the material guarantee supply method when executing the computer program.

The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or units, which may be in electrical, mechanical, or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The step numbers in the above method embodiments are set for convenience of illustration, and the order of steps is not limited in any way, and the execution order of the steps in the embodiments may be adaptively adjusted according to the understanding of those skilled in the art.

Claims

1. A material assurance supply method, comprising the steps of:

acquiring and identifying material demand information from a demand party;

acquiring and identifying transaction information from a requesting party;

2. The material guarantee supply method according to claim 1, wherein when the material demand information is identified to carry the first status identifier, performing material matching according to the first level classification and a preset first database, and outputting a first material matching result, including:

When the fact that the material demand information carries the first state identification is identified, a first database is called, commodity matching is conducted according to the first-level classification, and commodities and stock quantity of the commodities corresponding to the first-level classification are matched from the first database;

when the inventory quantity of the commodities corresponding to the first-stage classification is smaller than or equal to a first matching inventory threshold value, outputting the commodities corresponding to the first-stage classification as a first material matching result;

and when the inventory quantity of the commodities corresponding to the first-stage classification is larger than a first matching inventory threshold value, screening the commodities corresponding to the first-stage classification according to the first matching inventory threshold value, and outputting a screening result as a first material matching result.

3. The material assurance supply method according to claim 1, wherein when the material demand information is identified as carrying the second status identifier, performing material matching according to the second level classification and the first database, and outputting a second material matching result, including:

and when the condition that the material demand information carries the second state identifier is identified, a first database is called, commodity matching is carried out according to the second-stage classification, commodities corresponding to the second-stage classification are matched from the first database, and the commodities corresponding to the second-stage classification are output as a second material matching result.

4. The material guarantee supply method according to claim 1, wherein when the transaction information is identified as carrying the first status identifier, the material allocation and material flow scheduling are performed at a preset first range and a first speed according to the transaction information and the first material matching result by adopting the first material scheduling scheme, including:

taking a material delivery place as a circle center to outwards expand the warehouse in the first range as a first material resource library;

searching a first material in a first material resource library and the total stock number according to the first material matching result;

when the total stock number of the first materials is larger than the material demand number, expanding the logistics vehicles in the first range outwards by taking the material delivery site as the center of a circle to serve as first material transportation vehicles;

inquiring the carrying capacity and carrying range of the first material transportation vehicle, and distributing the carrying capacity of the first material transportation vehicle according to the carrying capacity and carrying range of the first material transportation vehicle and the first weight ratio;

wherein the first weight ratio satisfies: capacity of the first material transport vehicle: the carrying range of the first material transport vehicle=6:4;

The transportation volume of the first material transportation vehicle satisfies: first material transport amount of first material transport vehicle = first material transport vehicle weight x material demand number;

the first material transport vehicle weight satisfies the following formula:

allocating the first material transportation vehicle according to a preset first transportation condition, and transporting the first material by adopting the allocated first material transportation vehicle;

the first transportation condition is that the material demand quantity is given a first weight, and the carrying capacity of the first material transportation vehicle is greater than or equal to the material demand quantity given the first weight.

5. The material assurance supply method according to claim 4, wherein when the transaction information is identified as carrying the first status identifier, the material allocation and the material flow scheduling are performed at a preset first range and a first speed according to the transaction information and the first material matching result by adopting the first material scheduling scheme, and further comprising:

expanding the warehouse outside the first range outwards by taking the material delivery place as a circle center to serve as a first material supporting area;

when the total stock number of the first materials in the first material supporting area is larger than the first material supporting quantity, transporting the first materials meeting the first material supporting quantity in the first material supporting area to a first material resource library;

triggering a first supplier production event when the total stock number of the first supplies in the first supply support area is less than or equal to the first supply support number;

the operations performed by the first vendor production event include:

collecting a first material delivery date of a provider, calculating a provider score according to the first material delivery date, a first transportation distance and a second weight ratio, and controlling the provider to produce the first material according to the provider score;

wherein suppliers with high supplier scores are produced earlier than suppliers with low supplier scores;

wherein the second weight ratio satisfies a first material delivery date: first transportation distance = 6:4;

Collecting logistics vehicle information of a supplier, and dispatching logistics vehicles for transporting first materials produced by the supplier according to the logistics vehicle information;

6. The material guarantee supply method according to claim 1, wherein when the transaction information is identified as carrying the second status identifier, the material scheduling method is adopted, and material scheduling and material flow scheduling are performed at a preset second range and second speed according to the transaction information and the second material matching result, including:

expanding the warehouse in the second range outwards by taking the material delivery place as a circle center to serve as a second material resource library;

searching a second asset and the total stock number thereof in a second asset resource library according to the second asset matching result;

when the total stock number of the second materials is larger than the material demand number, expanding the logistics vehicles in the second range outwards by using the material delivery sites to serve as second material transportation vehicles;

inquiring the carrying capacity and carrying range of the second material transportation vehicle, and distributing the carrying capacity of the second material transportation vehicle according to the carrying capacity and carrying range of the second material transportation vehicle and the third weight ratio;

Wherein the third weight ratio satisfies: capacity of the second asset transport vehicle: the carrying range of the second asset transport vehicle = 6:4;

the transport amount of the second asset transport vehicle satisfies: the transport amount of the second asset transport vehicle=the weight of the second asset transport vehicle×the required amount of the asset;

the second asset transport vehicle weight satisfies the following formula:

allocating the second material transportation vehicle according to a preset second transportation condition, and transporting the second material by using the allocated second material transportation vehicle;

the second transportation condition is that the material demand quantity is given a second weight, and the carrying capacity of the second material transportation vehicle is greater than or equal to the material demand quantity given the second weight.

7. The material guarantee supply method according to claim 6, wherein when the transaction information is identified as carrying the second status identifier, the material scheduling scheme is adopted, and material scheduling and material flow scheduling are performed at a preset first range and a preset second speed according to the transaction information and the second material matching result, and the method further comprises:

Expanding the warehouse outside the second range outwards by taking the material delivery place as a center of a circle to serve as a second material supporting area;

when the total stock number of the second materials in the second material supporting area is larger than the second material supporting quantity, transporting the second materials meeting the second material supporting quantity in the second material supporting area to a second material resource library;

triggering a second vendor production event when the total inventory count of the second asset in the second asset support area is less than or equal to the second asset support count;

the operations performed by the second vendor production event include:

collecting a second data delivery date of the supplier, calculating a supplier score according to the second data delivery date, the second transportation distance and the fourth weight ratio, and controlling the supplier to produce the second data according to the supplier score;

wherein the fourth weight ratio satisfies: a second asset delivery date: second transportation distance = 8:2;

collecting logistics vehicle information of a supplier, and dispatching logistics vehicles for transporting second materials produced by the supplier according to the logistics vehicle information;

8. The material assurance supply method according to claim 1, wherein the adopting a material matching manner corresponding to the target state identifier outputs a corresponding material matching result according to the material matching manner, further comprising:

when the fact that the material demand information carries the third state identification is identified, material matching is carried out according to the third-level classification and a preset first database, and a third material matching result is output;

and adopting a material scheduling scheme corresponding to the target state identifier to perform material allocation and material flow scheduling according to the transaction information and the material matching result, and further comprising:

when the transaction information is identified to carry the third state identifier, adopting a third state identifier scheduling scheme to perform material allocation and material scheduling at a preset third range and third speed according to the transaction information and the third material matching result;

Wherein the third range is greater than the second range and the third speed is less than the first speed.

9. The material assurance supply method according to claim 8, wherein when the material demand information is identified to carry the third status identifier, performing material matching according to the third level classification and a preset first database, and outputting a third material matching result, including:

when the fact that the material demand information carries the third state identification is identified, a first database is called, commodity matching is conducted according to the third-level classification, and commodities and inventory quantity of the commodities corresponding to the third-level classification are matched from the first database;

when the inventory quantity of the commodities corresponding to the third-level classification is smaller than or equal to a second matching inventory threshold value, outputting the commodities corresponding to the third-level classification as a third material matching result;

and when the inventory quantity of the commodities corresponding to the third-level classification is larger than a second matching inventory threshold, screening the commodities corresponding to the third-level classification according to the second matching inventory threshold, and outputting a screening result as a third material matching result.

10. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the material assurance supply method of any one of claims 1 to 9 when executing the computer program.