CN113361837A - Material assembly strategy determining method and device and electronic equipment - Google Patents
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Abstract
The application discloses a method and a device for determining a material assembly strategy and electronic equipment, and relates to the field of vehicle transportation. Grouping a plurality of materials to be delivered from the warehouse in the material information list to be delivered according to the logistics category information; determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities; the method and the device have the advantages that the model of the target vehicle which is most matched with each group of materials is found and transported, so that the transportation capacity cost is saved, meanwhile, the material assembly strategy is determined according to the specification characteristic information of various materials to be delivered from the warehouse in each group of materials and the prestored specification characteristic information related to the model of the target vehicle, so that the transportation capacity cost is further saved, meanwhile, the assembly strategy can directly guide workers to assemble, manual operation is not needed, and a large amount of labor cost and assembly time are saved.
Description
Technical Field
The application relates to the technical field of vehicle transportation, in particular to a method and a device for determining a material assembly strategy and electronic equipment.
Background
Along with the progress of globalization, competition among enterprises is becoming more and more intense, the logistics technology and storage capacity level are weighted to be increased in the enterprise competitiveness level, and the logistics management level of the enterprise directly influences the market competitiveness of the enterprise. Therefore, how to reduce the warehouse logistics cost becomes a major concern of enterprises.
During current logistics transportation, to the logistics transportation of a large amount of multiple goods and materials, accomplish the prediction of the required vehicle of goods and materials transportation mainly through the manual work according to the weight of goods and materials, volume and the total capacity of vehicle, then carry out goods and materials loading according to the method of vanning absolutely regularly, fill with can, can waste a large amount of energetically cost and capacity of transportation cost like this.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides a method for determining a material assembly policy, where the method includes:
obtaining a goods and materials information list to be delivered, wherein the goods and materials information list to be delivered carries logistics category information and specification characteristic information of each kind of goods and materials to be delivered;
grouping a plurality of materials to be delivered from the warehouse in the material information list according to the logistics category information;
determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities;
and determining a material assembly strategy according to the specification characteristic information of various materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
In a second aspect, an embodiment of the present application further provides a material assembly policy determining apparatus, where the apparatus includes:
the information obtaining unit is configured to obtain a to-be-delivered goods and materials information list, wherein the to-be-delivered goods and materials information list carries logistics category information and specification characteristic information of each to-be-delivered goods and materials;
the goods and materials grouping unit is configured to group a plurality of goods and materials to be delivered from the warehouse in the goods and materials information list to be delivered according to the logistics category information;
the vehicle model determining unit is configured to determine a target vehicle model corresponding to a target standard load density, wherein the difference value of the target standard load density and the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities;
and the assembly strategy determining unit is configured to determine a material assembly strategy according to the specification characteristic information of the plurality of materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
In a third aspect, an embodiment of the present application further provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to execute the instructions to implement the material assembly strategy determination method according to the first aspect of the embodiment of the present application.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: grouping a plurality of materials to be delivered from the warehouse in the material information list to be delivered according to the logistics category information; determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities; the method and the device have the advantages that the model of the target vehicle which is most matched with each group of materials is found and transported, so that the transportation capacity cost is saved, meanwhile, the material assembly strategy is determined according to the specification characteristic information of various materials to be delivered from the warehouse in each group of materials and the prestored specification characteristic information related to the model of the target vehicle, so that the transportation capacity cost is further saved, meanwhile, the assembly strategy can directly guide workers to assemble, manual operation is not needed, and a large amount of labor cost and assembly time are saved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of a material assembly strategy determination method according to an embodiment of the present application;
fig. 2 is a schematic interaction diagram of an electronic device, a user terminal, and a scheduling terminal according to an embodiment of the present application;
FIG. 3 is a flowchart of a material assembly strategy determination method according to an embodiment of the present application;
FIG. 4 is a flowchart of a material assembly strategy determination method according to an embodiment of the present application;
FIG. 5 is a flowchart of a material assembly strategy determination method according to an embodiment of the present application;
FIG. 6 is a flowchart of a material assembly strategy determination method according to an embodiment of the present application;
fig. 7 is a functional block diagram of a material assembly strategy determination apparatus according to an embodiment of the present application;
fig. 8 is a functional block diagram of a material assembly strategy determining apparatus according to an embodiment of the present application;
fig. 9 is a functional block diagram of a material assembly strategy determining apparatus according to an embodiment of the present application;
FIG. 10 is a functional block diagram of a material assembly strategy determination apparatus according to an embodiment of the present application;
fig. 11 is a circuit connection block diagram of an electronic device according to 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 technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. 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 application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present application provides a method for determining a material assembly policy, which is applied to an electronic device 100. As shown in fig. 2, the electronic device 100 may be an analysis server, and the analysis server is communicatively connected to the user terminal 200 and the scheduling terminal 300 for data interaction. The method comprises the following steps:
s11: and obtaining a goods and materials information list to be delivered, wherein the goods and materials information list to be delivered carries the logistics category information and the specification characteristic information of each kind of goods and materials to be delivered.
Specifically, the dispatcher can input information such as material names, logistics category information, specification characteristic information and the like of materials to be transported into the dispatching terminal 300 to generate a to-be-delivered material information list, and then click "send", that is, the to-be-delivered material information list can be sent to the analysis server.
S12: and grouping the multiple materials to be delivered from the delivery materials information list according to the logistics category information.
The logistics category information includes, but is not limited to, common materials, fragile materials, waterproof materials, flammable and explosive materials and the like.
S13: and determining the model of the target vehicle corresponding to the target standard load density with the difference value of the average load density of each group of materials smaller than the preset threshold value from the pre-stored available standard load densities.
Each target vehicle model corresponds to a standard load density, the available standard load density refers to the standard load density corresponding to the vehicle model which is not in a working state, wherein the rated load of the vehicle/the rated capacity of the vehicle is the standard load density, and the average density of the materials is the total weight of each group of materials/the total volume of each group of materials.
When the difference value between the average material density and the standard load density is smaller than the preset threshold value, the group of materials to be delivered is loaded on the vehicle model corresponding to the standard load density with the difference value smaller than the preset threshold value, so that the carrying capacity of the vehicle model can be utilized to the maximum extent, and the transport capacity cost is saved.
S14: and determining a material assembly strategy according to the specification characteristic information of various materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
The reference factors of the material assembly strategy are determined to comprise specification characteristic information of various materials to be delivered from each group of materials and specification characteristic information which is pre-stored and is associated with the target vehicle model, so that how to select and assemble the materials to be delivered from the vehicle can be determined, the carrying capacity of the vehicle model is utilized to the maximum extent, and the transport capacity cost is further reduced. Specifically, the material assembly strategy may be sent to the user terminal 200 of the shipper for display, so that the shipper may be directed to ship according to the material assembly strategy.
The method for determining the material assembly strategy comprises the steps of grouping a plurality of materials to be delivered from a material information list according to logistics category information; determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities; the method and the device have the advantages that the model of the target vehicle which is most matched with each group of materials is found and transported, so that the transportation capacity cost is saved, meanwhile, the material assembly strategy is determined according to the specification characteristic information of various materials to be delivered from the warehouse in each group of materials and the prestored specification characteristic information related to the model of the target vehicle, so that the transportation capacity cost is further saved, meanwhile, the assembly strategy can directly guide workers to assemble, manual operation is not needed, and a large amount of labor cost and assembly time are saved.
Optionally, the specification characteristic information of each material to be delivered in the same group of materials to be delivered at least comprises the volume of the material to be delivered and the weight of the material to be delivered, and the specification characteristic information of the vehicle model at least comprises the allowable loading volume of the carriage and the rated load of the vehicle.
As one of the embodiments, S14 may include: according toEquation V1*N1+V2*N2+V3*N3+……+Vn*Nn＝VPractice ofAnd m is1*N1+m2*N2+m3*N3+……+mn*Nn<mRated valueAt least one quantity recipe value corresponding to a target actual cargo volume closest to the allowable cargo volume of the car and the target actual cargo volume is determined. Wherein the target actual cargo volume is less than or equal to the allowable cargo volume, V, of the carriage1、V2、V3...VnFor each individual volume, m, of the same group of goods to be delivered1、m2、m3...mnFor each individual weight, N, of the same group of goods to be delivered1、N2、N3...NnIs an integer type quantity collocation value, VPractice ofIs the target actual cargo volume, mRated valueThe rated load of the vehicle.
For example, a group of materials comprises a television, a refrigerator and an air conditioner, wherein the volumes of the television, the refrigerator and the air conditioner are respectively 0.6m3、1m3、0.8m3The allowable cargo volume of the carriage is 6m3When N is present1＝2、N2＝2、N3When equal to 3, VPractice ofIs 5.6m36m closest to the allowable cargo volume of the car3Then, 5.6m3、N1＝2、N2＝2、N3And 3, respectively determining at least one group of quantity matching values corresponding to the target actual cargo volume closest to the carriage allowed cargo volume and the target actual cargo volume, so that the cargo loader can load the goods to be delivered according to the quantity matching values.
Optionally, on the basis of one of the above embodiments, as shown in fig. 3, the method further includes:
s31: and determining the total volume of each group of materials to be delivered according to the single volume of each material to be delivered in the same group of materials to be delivered.
S32: and determining the number of vehicles of the target vehicle model according to the total volume of each group of materials to be delivered and the target actual cargo volume.
Specifically, the number of the vehicles of the required target vehicle model is determined through the total volume of each group of goods and materials to be delivered/the target actual loading volume.
As another embodiment, S14 may include: according to the equation m1*N1+m2*N2+m3*N3+……+mn*Nn＝mPractice ofAnd V is1*N1+V2*N2+V3*N3+……+Vn*Nn<VAllow forAnd determining the target actual load closest to the rated load of the vehicle and at least one group of quantity matching values corresponding to the target actual load. Wherein the target actual load is not more than the rated load of the vehicle, V1、V2、V3...VnFor each individual volume, m, of the same group of goods to be delivered1、m2、m3...mnFor each individual weight, N, of the same group of goods to be delivered1、N2、N3...NnIs an integer number collocation value, mPractice ofIs the target actual load, VAllow forThe allowable cargo volume of the car.
For example, a group of materials comprises a television, a refrigerator and an air conditioner, the weight of the television, the weight of the refrigerator and the weight of the air conditioner are respectively 6kg, 10kg and 8kg, the rated load of a vehicle is 60kg, and then N is obtained1＝2、N2＝2、N3When equal to 3, mPractice of56kg, and 56kg and N are selected when the load is closest to the rated load of the vehicle of 60kg1＝2、N2＝2、N3And respectively determining at least one group of quantity matching values corresponding to the target actual load and the target actual load which are closest to the rated load of the vehicle, so that the goods staffs can load the goods and materials to be delivered out of the warehouse according to the quantity matching values.
Optionally, on the basis of another embodiment described above, as shown in fig. 4, the method further includes:
s41: and determining the total weight of each group of materials to be delivered according to the single weight of each material to be delivered in the same group of materials to be delivered.
S42: and determining the number of vehicles of the target vehicle model according to the total weight of each group of materials to be delivered and the target actual cargo weight.
Optionally, the specification characteristic information of each material to be delivered from the same group of materials to be delivered further includes a stackable quantity, as shown in fig. 5, and the method further includes:
s51: and determining the assembly level of each material to be delivered in the same group of materials to be delivered in the carriage according to the corresponding stackable quantity of each material to be delivered.
For example, the goods to be delivered comprise refrigerators, steel plates and eggs, the number of the refrigerators which can be stacked is 1, the number of the steel plates which can be stacked is 2, and the number of the eggs which can be stacked is 0, and the determined assembly levels are that the steel plates are arranged at the bottommost layer, the refrigerators are arranged at the middle layer, and the eggs are arranged at the topmost layer.
Optionally, the target vehicle model includes a plurality of models, each of the target vehicle models having freight information associated therewith, and before S14, as shown in fig. 6, the method further includes:
s61: a target vehicle model with the lowest shipping charge is selected from the plurality of target vehicle models.
The transportation cost of goods and materials to be delivered from the warehouse can be further saved by determining the model of the target vehicle with the lowest transportation cost.
Referring to fig. 7, the present embodiment provides a material assembly policy determining apparatus 700, it should be noted that the basic principle and the technical effects of the material assembly policy determining apparatus 700 provided by the present embodiment are the same as those of the above embodiment, and for the sake of brief description, corresponding contents in the above embodiment may be referred to where the present embodiment is not mentioned in part. The apparatus 700 includes an information obtaining unit 701, a material grouping unit 702, a vehicle model determining unit 703, and an assembly policy determining unit 704, wherein,
the information obtaining unit 701 is configured to obtain a to-be-delivered goods and materials information list, where the to-be-delivered goods and materials information list carries logistics category information and specification characteristic information of each to-be-delivered goods and materials.
The material grouping unit 702 is configured to group a plurality of materials to be delivered from the material information list according to the logistics category information.
A vehicle model determining unit 703 configured to determine, from the pre-stored available standard load densities, a target vehicle model corresponding to a target standard load density for which a difference value of the average density of the materials of each group of materials is smaller than a preset threshold value.
And an assembling strategy determining unit 704 configured to determine a material assembling strategy according to the specification characteristic information of the plurality of materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
The material assembly policy determination apparatus 700, when executed, may implement the following functions: grouping a plurality of materials to be delivered from the warehouse in the material information list to be delivered according to the logistics category information; determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities; the method and the device have the advantages that the model of the target vehicle which is most matched with each group of materials is found and transported, so that the transportation capacity cost is saved, meanwhile, the material assembly strategy is determined according to the specification characteristic information of various materials to be delivered from the warehouse in each group of materials and the prestored specification characteristic information related to the model of the target vehicle, so that the transportation capacity cost is further saved, meanwhile, the assembly strategy can directly guide workers to assemble, manual operation is not needed, and a large amount of labor cost and assembly time are saved.
Optionally, the specification characteristic information of each material to be delivered in the same group of materials to be delivered at least comprises the volume of the material to be delivered and the weight of the material to be delivered, and the specification characteristic information of the vehicle model at least comprises the allowable loading volume of the carriage and the rated load of the vehicle.
Specifically, as one of the embodiments, the assembly strategy determination unit 704 is specifically configured to perform the following operation according to formula V1*N1+V2*N2+V3*N3+……+Vn*Nn＝VPractice ofAnd m is1*N1+m2*N2+m3*N3+……+mn*Nn<mRated valueDetermining at least one group of quantity matching values corresponding to the target actual cargo volume closest to the carriage allowable cargo volume and the target actual cargo volume, wherein the target actual cargo volume is less than or equal to the carriage allowable cargo volume, V1、V2、V3...VnFor each individual volume, m, of the same group of goods to be delivered1、m2、m3...mnFor each individual weight, N, of the same group of goods to be delivered1、N2、N3...NnIs an integer type quantity collocation value, VPractice ofIs the target actual cargo volume, mRated valueThe rated load of the vehicle.
On the basis of one of the above embodiments, as shown in fig. 8, the apparatus 700 further includes:
the volume determination unit 801 is configured to determine the total volume of each group of materials to be delivered according to the single volume of each material to be delivered in the same group of materials to be delivered.
And the quantity determining unit 802 is configured to determine the quantity of the vehicles of the target vehicle model according to the total volume of each group of goods to be delivered and the target actual loading volume.
Alternatively, as another embodiment, the assembly strategy determination unit 704 is specifically configured to determine the assembly strategy according to the formula m1*N1+m2*N2+m3*N3+……+mn*Nn＝mPractice ofAnd V is1*N1+V2*N2+V3*N3+……+Vn*Nn<VAllow forDetermining a target actual load closest to the rated load of the vehicle and at least one group of quantity matching values corresponding to the target actual load, wherein the target actual load is less than or equal to the rated load of the vehicle, V1、V2、V3...VnFor each individual volume, m, of the same group of goods to be delivered1、m2、m3...mnFor each individual weight, N, of the same group of goods to be delivered1、N2、N3...NnIs an integer number collocation value, mPractice ofIs the target actual load, VAllow forThe allowable cargo volume of the car.
On the basis of the above another embodiment, as shown in fig. 9, the apparatus 700 further includes:
the weight determining unit 901 is configured to determine the total weight of each group of materials to be delivered according to the single weight of each material to be delivered in the same group of materials to be delivered.
And a quantity determining unit 902 configured to determine the quantity of the vehicles of the target vehicle model according to the total weight of each group of materials to be delivered and the target actual cargo weight.
Optionally, as shown in fig. 10, the apparatus 700 further includes: the assembly level determining unit 1001 is configured to determine an assembly level of each material to be delivered in the same group of materials to be delivered in the carriage according to the stackable quantity corresponding to each material to be delivered.
Alternatively, the target vehicle model includes a plurality of models each associated with freight information, and the vehicle model determination unit 703 is further configured to select a target vehicle model having the lowest freight rate from among the plurality of target vehicle models.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 11, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 11, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
And the processor reads the corresponding computer program from the nonvolatile memory into the memory and runs the computer program to form the material assembly strategy determining device on a logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
obtaining a goods and materials information list to be delivered, wherein the goods and materials information list to be delivered carries logistics category information and specification characteristic information of each kind of goods and materials to be delivered;
grouping a plurality of materials to be delivered from the warehouse in the material information list according to the logistics category information;
determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities;
and determining a material assembly strategy according to the specification characteristic information of various materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
The method performed by the material assembly strategy determination device according to the embodiment shown in fig. 1 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may further execute the method shown in fig. 1, and implement the functions of the material assembly policy determining apparatus in the embodiment shown in fig. 1, which are not described herein again in this embodiment of the application.
Of course, besides the software implementation, the electronic device of the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
Embodiments of the present application also provide a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to perform the method of the embodiment shown in fig. 1, and are specifically configured to:
obtaining a goods and materials information list to be delivered, wherein the goods and materials information list to be delivered carries logistics category information and specification characteristic information of each kind of goods and materials to be delivered;
grouping a plurality of materials to be delivered from the warehouse in the material information list according to the logistics category information;
determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities;
and determining a material assembly strategy according to the specification characteristic information of various materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
In short, the above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Claims (10)
1. A method for determining a material assembly strategy, the method comprising:
obtaining a goods and materials information list to be delivered, wherein the goods and materials information list to be delivered carries logistics category information and specification characteristic information of each kind of goods and materials to be delivered;
grouping a plurality of materials to be delivered from the warehouse in the material information list according to the logistics category information;
determining the model of a target vehicle corresponding to the target standard load density, wherein the difference value of the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities;
and determining a material assembly strategy according to the specification characteristic information of various materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
2. The method of claim 1, wherein the specification characteristic information of each material to be delivered in the same group of materials to be delivered at least comprises the volume of the material to be delivered and the weight of the material to be delivered, and the specification characteristic information of the vehicle model at least comprises the carriage allowed loading volume and the rated load of the vehicle.
3. The method of claim 2, wherein the determining the material assembly strategy according to the specification characteristic information of the plurality of materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model comprises:
according to formula V1*N1+V2*N2+V3*N3+……+Vn*Nn＝VPractice of，m1*N1+m2*N2+m3*N3+……+mn*Nn<mRated valueDetermining a target actual cargo volume closest to the allowable cargo volume of the carriage and at least one group of quantity matching values corresponding to the target actual cargo volume, wherein the target actual cargo volume is less than or equal to the allowable cargo volume of the carriage, V1、V2、V3...VnFor each of the materials to be delivered in the same group, m is a single volume of the material to be delivered1、m2、m3...mnFor each individual weight, N, of the goods to be delivered in the same group1、N2、N3...NnIs an integer type quantity collocation value, VPractice ofIs the target actual cargo volume, mRated valueThe rated load of the vehicle.
4. The method of claim 3, further comprising:
determining the total volume of each group of materials to be delivered according to the single volume of each material to be delivered in the same group of materials to be delivered;
and determining the number of vehicles of the target vehicle model according to the total volume of each group of materials to be delivered and the target actual cargo volume.
5. The method of claim 2, wherein the determining the material assembly strategy according to the specification characteristic information of the plurality of materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model comprises:
according to the equation m1*N1+m2*N2+m3*N3+……+mn*Nn＝mPractice of，V1*N1+V2*N2+V3*N3+……+Vn*Nn<VAllow forDetermining a target actual load closest to the rated load of the vehicle and at least one group of quantity matching values corresponding to the target actual load, wherein the target actual load is less than or equal to the rated load of the vehicle, V1、V2、V3...VnFor each of the materials to be delivered in the same group, m is a single volume of the material to be delivered1、m2、m3...mnFor each individual weight, N, of the goods to be delivered in the same group1、N2、N3...NnIs an integer number collocation value, mPractice ofIs the target actual load, VAllow forThe allowable cargo volume of the car.
6. The method of claim 5, further comprising:
determining the total weight of each group of materials to be delivered according to the single weight of each material to be delivered in the same group of materials to be delivered;
and determining the number of vehicles of the target vehicle model according to the total weight of each group of materials to be delivered and the target actual cargo weight.
7. The method according to any one of claims 3 to 6, wherein the specification characteristic information of each of the materials to be delivered in the same group of materials to be delivered further includes a stackable quantity, the method further comprising:
and determining the assembly level of each material to be delivered in the same group of materials to be delivered in the carriage according to the corresponding stackable quantity of each material to be delivered.
8. The method according to claim 1, wherein the target vehicle model comprises a plurality of models, each of the target vehicle models is associated with freight rate information, and before determining the material assembly strategy according to the specification characteristic information of the plurality of materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model, the method further comprises:
a target vehicle model with the lowest shipping charge is selected from the plurality of target vehicle models.
9. A material assembly strategy determination apparatus, the apparatus comprising:
the information obtaining unit is configured to obtain a to-be-delivered goods and materials information list, wherein the to-be-delivered goods and materials information list carries logistics category information and specification characteristic information of each to-be-delivered goods and materials;
the goods and materials grouping unit is configured to group a plurality of goods and materials to be delivered from the warehouse in the goods and materials information list to be delivered according to the logistics category information;
the vehicle model determining unit is configured to determine a target vehicle model corresponding to a target standard load density, wherein the difference value of the target standard load density and the average load density of each group of materials is smaller than a preset threshold value, from the pre-stored available standard load densities;
and the assembly strategy determining unit is configured to determine a material assembly strategy according to the specification characteristic information of the plurality of materials to be delivered from each group of materials and the prestored specification characteristic information associated with the target vehicle model.
10. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the material assembly strategy determination method of any of claims 1-8.
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