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CN113128975A - Supply chain cooperative processing method based on digital service - Google Patents

Supply chain cooperative processing method based on digital service Download PDF

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Publication number
CN113128975A
CN113128975A CN202110481279.XA CN202110481279A CN113128975A CN 113128975 A CN113128975 A CN 113128975A CN 202110481279 A CN202110481279 A CN 202110481279A CN 113128975 A CN113128975 A CN 113128975A
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digital
orders
stage
service
data
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Inventor
韩志勇
陈健
左玉辉
曾付贵
周子君
高朗
徐敏
侯佳佳
鲁振伟
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Beijing Sinoprof Information Technologies Ltd
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Beijing Sinoprof Information Technologies Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/01Customer relationship services
    • G06Q30/012Providing warranty services

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Abstract

The invention provides a supply chain cooperative processing method based on digital service. The method comprises the following steps: step 1, based on the existing service data, selecting a data source and classifying data, and establishing a data model; and 2, performing digital service on the original service stage of the supply chain to form a digital service stage, wherein the digital service stage comprises a digital authentication stage, a digital management stage and a digital risk prevention and control stage. Aiming at the characteristics of long supply chain process, complex data structure, more cooperative personnel and the like in the communication industry, the invention establishes a set of basic digital service cooperative process, ensures high-efficiency cooperation and digital authentication of full joint debugging, reduces error risk and improves cooperative efficiency.

Description

Supply chain cooperative processing method based on digital service
Technical Field
The invention relates to the technical field of supply chains, in particular to a supply chain cooperative processing method based on digital service.
Background
The basis for big data management is data. For the analysis of supply chain business, the data is divided into two types of structured data and unstructured data. Structured data is easiest to perform diverse analyses in terms of the ease with which large data analysis models are difficult. After continuous efforts for years, the supply chain system in the communication industry basically has the digitalization capability, and each link and each level can sense the digitalization direction and the digitalization capability. The supply chain information system carries a large amount of data, and the various modules and the system carry out information transmission and interaction through the data. The supply chain informatization system effectively aggregates management information of multiple lines such as internal plan construction, network maintenance, marketing, financial internal audit and the like of an enterprise through the communication of various interfaces, and becomes an information fusion management and control center of each business. In recent years, in various auditing and daily working processes, the problems of not strict auditing, weaker relevance, fast service change and incapability of driving multipoint change exist in the supply chain process, and the digital service and automatic auditing of the whole service flow are realized by internal data analysis and integration.
In the existing technical solutions (for example, patent CN104881758A discloses an ERP system integrating supply chain collaborative production and an operation method thereof), all of which are based on flow collaboration and sharing, establish various flows and specifications facing to services, implement service audit management and control point to point, and do not form an overall digital service capability. The prior art is mainly used for carrying out detailed analysis based on a business scene, a digital thinking mode and a working mode are not formed at present, a large amount of basic business data cannot be converted into productivity, the digital relevance cannot be found quickly, the initiative analysis enthusiasm is insufficient, the analysis capability is weak, the integration analysis capability with the business is insufficient, the analysis judgment capability of an instant scene cannot be realized, the sensitivity and the alertness of data are poor, and a data analysis tool also has relevant limitations.
Disclosure of Invention
The invention provides a supply chain cooperative processing method based on digital service, which aims to solve the problem that the existing supply chain management system is mainly based on a service scene to carry out detailed analysis, cannot quickly find digital relevance and cannot realize automatic audit of a supply chain.
The invention provides a supply chain cooperative processing method based on digital service, which comprises the following steps:
step 1, based on the existing service data, selecting a data source and classifying data, and establishing a data model;
and 2, performing digital service on the original service stage of the supply chain according to the established data model to form a digital service stage, wherein the digital service stage comprises a digital authentication stage, a digital management stage and a digital risk prevention and control stage.
Further, the digital authentication phase comprises:
when an e-commerce product library needing frame contract is on line, associating corresponding collection price lists and share information according to contract information to form contract association information;
and carrying out data authentication and inspection on the price, share, configuration and operation insurance fee of the online product in the E-commerce product library according to the contract associated information, and avoiding the conditions of inconsistency with the contract and the purchasing result.
Further, the digital management phase comprises:
comparing the product price at the time of application with the product price in the contract to determine whether the price is abnormal or not;
auditing is carried out according to the product configuration relation and the preset maximum and minimum configuration quantity, and whether the product configuration is abnormal or not is determined;
determining whether the purchase quantity has a super-large share problem according to the average purchase quantity and the maximum purchase quantity of the product;
and performing typical configuration management according to the set code configuration, and determining whether the set code has the problem of exceeding the typical configuration.
Further, the digital risk prevention and control phase comprises the following steps:
counting orders which are not confirmed in an overdue period, wherein the orders which are not confirmed in the overdue period refer to orders of which the order confirmation time is longer than the order creation date;
counting an overdue missed order, wherein the overdue missed order refers to an order with delivery time larger than expected delivery time;
counting orders which are not received in an overdue period, wherein the orders which are not received in the overdue period refer to orders with the order receiving time being more than the order delivery time by 5 days;
counting the overdue unsettled orders, wherein the overdue unsettled orders refer to orders with the order settlement date being larger than the order date.
The invention has the beneficial effects that:
1. the invention can establish a dynamic data model based on the existing service data, can compare the data in the service processes of application, approval, delivery and the like based on the dynamic data model, feeds back the comparison result to the user, and assists the user in making a decision, namely, the invention can play the roles of analysis and decision in real time on the service scene based on the dynamic data model, and can be rapidly applied to each service scene.
2. The method mainly comprises the steps of paying for purchase and supply and sale, wherein the paying for purchase and supply and sale is mainly price guarantee, price guarantee refers to a price guarantee agreement signed with a supplier, and when the price of a commodity is confirmed to be reduced or a certain purchase amount is reached, the commodity is purchased according to low price, so that price regulation paying for a purchase order which has already occurred before needs to be carried out.
3. The invention plays a role similar to a translator or a compiler for accurately, quickly and efficiently forming a digital service stage by establishing a data model, realizes the emergency set of service and data, exerts the value advantage of the data and guides the subsequent service through data-assisted analysis.
4. Aiming at the characteristics of long supply chain process, complex data structure, more cooperative personnel and the like in the communication industry, the invention establishes a set of basic digital service cooperative process, ensures high-efficiency cooperation of full joint debugging, reduces error risk and improves cooperative efficiency through digital authentication.
Drawings
Fig. 1 is a schematic flowchart of a collaborative processing method based on a digital service supply chain according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a collaborative processing method based on a digital service supply chain, where the method includes:
s101, based on the existing service data, selecting a data source and classifying data, and establishing a data model;
for example, the data model may be a purchase supply model of the product.
S102, performing digital service on the original service stage of the supply chain according to the established data model to form a digital service stage, wherein the digital service stage comprises a digital authentication stage, a digital management stage and a digital risk prevention and control stage.
Wherein the digital authentication phase comprises:
when an e-commerce product library needing frame contract is on line, associating corresponding collection price lists and share information according to contract information to form contract association information;
and carrying out data authentication check on the price, share, configuration and operation insurance fee of the online product in the E-commerce product library according to the contract associated information, and avoiding the conditions of inconsistency with the contract and the purchasing result.
Specifically, the method comprises the following steps of authenticating a product code: if the online code is consistent with the code of the collection code library, no deviation or difference exists; the unit price of the product is verified through product code audit, the consistency of purchasing and contract data is improved, and the difference of the transportation premium product can be solved through price floating comparison; quota information of the product is generated through contract association, and release can be distributed or released in whole batch after confirmation, so that consistency of quota issuing and execution is ensured; all suppliers of the product are confirmed to have respective MDM codes through supply chain correlation comparison, and the suppliers are ensured to be consistent.
The digital management stage is mainly used for carrying out digital management on the purchasing application link. And the digital management of the service is realized by comparing the application data with historical data and average data, comparing prices and comparing shares. The digital management stage comprises:
comparing the product price at the time of application with the product price in the contract to determine whether the price is abnormal or not; if the price fluctuates greatly or is abnormal, an early warning prompt is given.
Auditing is carried out according to the product configuration relation and the preset maximum and minimum configuration quantity, and whether the product configuration is abnormal or not is determined;
determining whether the purchase quantity has a super-large share problem according to the average purchase quantity and the maximum purchase quantity of the product;
and performing typical configuration management according to the set code configuration, and determining whether the set code has the problem of exceeding the typical configuration.
The digital risk prevention and control stage is mainly oriented to a supply chain circulation link, particularly a supplier cooperation and arrival link, and the cooperation efficiency is managed mainly through cooperation time in the link. The digital risk prevention and control stage comprises the following steps:
counting orders which are not confirmed in an overdue period, wherein the orders which are not confirmed in the overdue period refer to orders of which the order confirmation time is longer than the order creation date;
counting an overdue missed order, wherein the overdue missed order refers to an order with delivery time larger than expected delivery time;
counting orders which are not received in an overdue period, wherein the orders which are not received in the overdue period refer to orders with the order receiving time being more than the order delivery time by 5 days;
counting the overdue unsettled orders, wherein the overdue unsettled orders refer to orders with the order settlement date being larger than the order date.
According to the content, the collaborative processing method based on the digital service supply chain is a dynamic data processing method which is based on communication industry supply chain management and is suitable for multiple business scenes, multiple user requirements and multiple business links.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (4)

1. A collaborative processing method based on a digital service supply chain is characterized by comprising the following steps:
step 1, based on the existing service data, selecting a data source and classifying data, and establishing a data model;
and 2, performing digital service on the original service stage of the supply chain according to the established data model to form a digital service stage, wherein the digital service stage comprises a digital authentication stage, a digital management stage and a digital risk prevention and control stage.
2. The method of claim 1, wherein the digital authentication phase comprises:
when an e-commerce product library needing frame contract is on line, associating corresponding collection price lists and share information according to contract information to form contract association information;
and carrying out data authentication check on the price, share, configuration and operation insurance fee of the online product in the E-commerce product library according to the contract associated information, and avoiding the conditions of inconsistency with the contract and the purchasing result.
3. The method of claim 1, wherein the digital management phase comprises:
comparing the product price at the time of application with the product price in the contract to determine whether the price is abnormal or not;
auditing is carried out according to the product configuration relation and the preset maximum and minimum configuration quantity, and whether the product configuration is abnormal or not is determined;
determining whether the purchase quantity has a super-large share problem according to the average purchase quantity and the maximum purchase quantity of the product;
and performing typical configuration management according to the set code configuration, and determining whether the set code has the problem of exceeding the typical configuration.
4. The method of claim 1, wherein the digital risk prevention and control phase comprises:
counting orders which are not confirmed in an overdue period, wherein the orders which are not confirmed in the overdue period refer to orders of which the order confirmation time is longer than the order creation date;
counting an overdue missed order, wherein the overdue missed order refers to an order with delivery time larger than expected delivery time;
counting orders which are not received in an overdue period, wherein the orders which are not received in the overdue period refer to orders with the order receiving time being more than the order delivery time by 5 days;
counting the overdue unsettled orders, wherein the overdue unsettled orders refer to orders with the order settlement date being larger than the order date.
CN202110481279.XA 2021-04-30 2021-04-30 Supply chain cooperative processing method based on digital service Pending CN113128975A (en)

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Application Number Priority Date Filing Date Title
CN202110481279.XA CN113128975A (en) 2021-04-30 2021-04-30 Supply chain cooperative processing method based on digital service

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Application Number Priority Date Filing Date Title
CN202110481279.XA CN113128975A (en) 2021-04-30 2021-04-30 Supply chain cooperative processing method based on digital service

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CN113128975A true CN113128975A (en) 2021-07-16

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107944948A (en) * 2017-11-07 2018-04-20 中国移动通信集团湖北有限公司 Mobile communication supplier collaborative platform order managing and control system and method
CN109784806A (en) * 2018-12-27 2019-05-21 北京航天智造科技发展有限公司 Supply chain control method, system and storage medium
EP3660771A1 (en) * 2018-11-29 2020-06-03 Mastercard International Incorporated Online authentication
CN112330230A (en) * 2020-12-04 2021-02-05 工业互联网创新中心(上海)有限公司 Supply chain management module based on identification analysis

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107944948A (en) * 2017-11-07 2018-04-20 中国移动通信集团湖北有限公司 Mobile communication supplier collaborative platform order managing and control system and method
EP3660771A1 (en) * 2018-11-29 2020-06-03 Mastercard International Incorporated Online authentication
CN109784806A (en) * 2018-12-27 2019-05-21 北京航天智造科技发展有限公司 Supply chain control method, system and storage medium
CN112330230A (en) * 2020-12-04 2021-02-05 工业互联网创新中心(上海)有限公司 Supply chain management module based on identification analysis

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Application publication date: 20210716