Agricultural product supply chain optimization and coordination method, device, equipment and medium

Abstract

The invention relates to an agricultural product supply chain optimization and coordination method, device, equipment and medium, and belongs to the technical field of supply chain optimization, and the method comprises the steps: obtaining a first price, a first preservation measure and a first agricultural support strength of a supplier; constructing a profit function of the supplier according to the first price, the first fresh-keeping measure and the first agricultural support strength; obtaining a second price, a second fresh-keeping measure and a second agricultural support strength of the e-commerce platform; constructing a profit function of the e-commerce platform and a demand function of the consumer according to the second price, the second fresh-keeping measure and the second agricultural support strength; constructing a mathematical model of a supply chain according to the profit function of the supplier, the profit function of the e-commerce platform and the demand function of the consumer; and solving the mathematical model by using a game theory method to obtain an optimal strategy of the supply chain. According to the invention, the earnings of the suppliers and the e-commerce platform are maximized.

Description

Technical Field

[0001] The present invention belongs to the technical field of supply chain optimization, and in particular relates to a method, device, equipment and medium for optimizing and coordinating an agricultural product supply chain. Background Art

[0002] With the rapid development of the Internet and e-commerce, more and more suppliers have begun to cooperate with e-commerce platforms and sell on online sales platforms; effective supply chain management enables companies to respond quickly to changes in market demand and improve customer satisfaction and market competitiveness.

[0003] In existing supply chains, suppliers and e-commerce platforms usually independently set pricing and preservation measures, which may make it difficult to maximize the overall profits of the supply chain and fail to fully coordinate the interests of all parties. The impact of changes in consumer demand on the supply chain is usually ignored, making it impossible to achieve the optimal benefits of the supply chain. There are technical problems that prevent the supply chain from being optimized as a whole. Summary of the invention

[0004] In view of the above analysis, the embodiments of the present invention aim to provide a method, device, equipment and medium for optimizing and coordinating an agricultural product supply chain, so as to solve one or more of the above problems existing in the prior art.

[0005] The object of the present invention is achieved in that:

[0006] A first aspect of the present invention provides a method for optimizing and coordinating an agricultural product supply chain, comprising:

[0007] Get first-price, first-freshness measures, and first-agricultural support from suppliers;

[0008] Constructing a supplier's profit function based on the first pricing, the first preservation measure and the first agricultural support intensity;

[0009] Obtain second pricing, second preservation measures and second agricultural support from e-commerce platforms;

[0010] Construct the profit function of the e-commerce platform and the demand function of consumers based on the second pricing, the second preservation measure and the second agricultural support intensity;

[0011] Constructing a mathematical model of the supply chain based on the profit function of the supplier, the profit function of the e-commerce platform, and the demand function of the consumer;

[0012] The game theory method is used to solve the mathematical model and obtain the optimal strategy for the supply chain.

[0013] Furthermore, the profit function of the supplier constructed according to the first pricing, the first preservation measure and the first agricultural support intensity is expressed as:

[0014] P s =p1·qC s (q)-F(f1)-A(a1)

[0015] Among them, p1 represents the first pricing, q represents the sales volume, Cs(q) represents the production cost, f1 represents the first preservation measure, F(f1) represents the cost of the first preservation measure, a1 represents the first agricultural support intensity, and A(a1) represents the cost of the first agricultural support intensity.

[0016] Furthermore, the profit function of the e-commerce platform is constructed according to the second pricing, the second preservation measure and the second agricultural support strength, which is expressed as:

[0017] P ep =p2·qC ep (q)-F(f2)-A(a2)

[0018] Among them, p2 represents the second price, C ep (q) represents operating cost, f2 represents the second preservation measure, F(f2) represents the cost of the second preservation measure, a2 represents the second agricultural support intensity, and A(a2) represents the cost of the second agricultural support intensity.

[0019] Furthermore, according to the second pricing, the second fresh-keeping measure and the second agricultural support strength, the consumer demand function is expressed as:

[0020]

[0021] Where D0 represents the initial demand, ε p represents price elasticity, ε f represents the freshness elasticity, ε a Indicates the flexibility of agricultural support.

[0022] Furthermore, the mathematical model is solved using game theory to obtain the optimal strategy for the supply chain, including:

[0023] Solve the partial derivative of the supplier's profit function to obtain the optimal first pricing, first preservation measures and first agricultural support intensity;

[0024] Solve the partial derivative of the profit function of the e-commerce platform to obtain the optimal second pricing, second preservation measures and second agricultural support;

[0025] Set inventory limit constraints for suppliers and shipping cost constraints for e-commerce platforms;

[0026] The mathematical model of the supply chain is solved through iterative calculation to obtain the optimal strategy of the supply chain under constraints.

[0027] Furthermore, it also includes:

[0028] Design a joint commission mechanism, expressed as:

[0029] C total (α s ,α ep )=C s (q)+C ep (q)

[0030] Among them, α s represents the cost ratio shared by suppliers, α ep Indicates the proportion of costs shared by the e-commerce platform;

[0031] By analyzing the impact of the cost ratio shared by different members in the supply chain on the overall profit of the supply chain, the shared cost ratio can be optimized and adjusted.

[0032] A second aspect of the present invention provides a device for optimizing and coordinating an agricultural product supply chain, comprising:

[0033] The first acquisition module is used to obtain the supplier's first pricing, first preservation measures and first agricultural support strength;

[0034] A first function building module, used for building a profit function of a supplier according to the first pricing, the first preservation measure and the first agricultural support strength;

[0035] The second acquisition module is used to obtain the second pricing, second preservation measures and second agricultural support strength of the e-commerce platform;

[0036] A second function construction module, used to construct a profit function of the e-commerce platform and a consumer demand function according to the second pricing, the second preservation measure and the second agricultural support intensity;

[0037] A model building module, used to build a mathematical model of the supply chain based on the profit function of the supplier, the profit function of the e-commerce platform and the demand function of the consumer;

[0038] The model solving module is used to solve the mathematical model using game theory methods to obtain the optimal strategy for the supply chain.

[0039] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for optimizing and coordinating the agricultural product supply chain described in any embodiment is implemented.

[0040] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for optimizing and coordinating the agricultural product supply chain described in any one of the embodiments.

[0041] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects:

[0042] The method for optimizing and coordinating the agricultural product supply chain provided by the present invention establishes a mathematical model of the supply chain based on the respective profit functions of suppliers and e-commerce platforms constructed through pricing, preservation measures and agricultural support efforts, as well as the consumer demand function. By solving the mathematical model, the optimal strategy of the supply chain is obtained, thereby maximizing the profits of suppliers and e-commerce platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of this specification. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0044] Figure 1 A flow chart of a method for optimizing and coordinating a supply chain of agricultural products provided in Example 1 of the present invention;

[0045] Figure 2 A schematic diagram of a device for optimizing and coordinating a supply chain of agricultural products provided in Example 2 of the present invention;

[0046] Figure 3 This is a schematic diagram of the electronic device architecture provided in Example 3 of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. It should be noted that, in the absence of conflict, the embodiments and features in the embodiments disclosed in this disclosure can be combined, separated, interchanged and / or rearranged with each other. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0048] Example 1

[0049] A specific embodiment of the present invention, as Figure 1 As shown, a method for optimizing and coordinating an agricultural product supply chain is disclosed, comprising:

[0050] S1. Obtain the first pricing, first preservation measures and first agricultural support from suppliers;

[0051] Specifically, the supplier of crop supplies is responsible for producing and providing fresh agricultural products, and taking a series of first preservation measures in the process of transporting agricultural products to the e-commerce platform. The first agricultural support level refers to the human and material support required in the process from sowing to ripening and picking of agricultural products. The first pricing of purchases on the e-commerce platform is formulated based on the costs required for the first preservation measures and the first agricultural support level.

[0052] S2. constructing a profit function for the supplier based on the first pricing, the first preservation measure and the first agricultural support intensity;

[0053] Specifically expressed as:

[0054] P s =p1·qC s (q)-F(f1)-A(a1)

[0055] Among them, p1 represents the first pricing, q represents the sales volume, Cs(q) represents the production cost, f1 represents the first preservation measure, F(f1) represents the cost of the first preservation measure, a1 represents the first agricultural support intensity, and A(a1) represents the cost of the first agricultural support intensity.

[0056] S3, obtain the second pricing, second preservation measures and second agricultural support strength of the e-commerce platform;

[0057] Specifically, the e-commerce platform, as the seller, is responsible for selling the agricultural products provided by suppliers through the online platform and taking a series of second preservation measures during the storage of agricultural products. The second agricultural knowledge strength refers to the human and material support required for classification and transportation of agricultural products from purchase to sales. The sales price of agricultural products is determined based on the second preservation measures and the second agricultural support strength, which is the second pricing.

[0058] S4. Constructing a profit function of the e-commerce platform and a demand function of consumers based on the second pricing, the second preservation measure and the second agricultural support strength;

[0059] The profit function of building an e-commerce platform is specifically expressed as:

[0060] P ep =p2·qC ep (q)-F(f2)-A(a2)

[0061] Among them, p2 represents the second price, C ep (q) represents operating cost, f2 represents the second preservation measure, F(f2) represents the cost of the second preservation measure, a2 represents the second agricultural support intensity, and A(a2) represents the cost of the second agricultural support intensity.

[0062] The consumer demand function is specifically expressed as:

[0063]

[0064] Where D0 represents the initial demand, ε p represents price elasticity, ε f represents the freshness elasticity, ε a Indicates the flexibility of agricultural support.

[0065] Specifically, the present invention aims to optimize the first pricing and the second pricing according to consumer demand, and find a supply chain structure that maximizes the profits of manufacturers and e-commerce platforms; the price elasticity is the sensitivity of demand to price changes, the freshness elasticity is the sensitivity of demand to changes in preservation measures, and the agricultural support intensity elasticity is the sensitivity of demand to changes in agricultural support intensity.

[0066] S5. Constructing a mathematical model of the supply chain according to the profit function of the supplier, the profit function of the e-commerce platform and the demand function of the consumer;

[0067] The specific steps are: design constraints, including inventory restrictions on suppliers and transportation cost restrictions on e-commerce platforms; establish a mathematical model of the relationship between the consumer's demand function and the total profit function of suppliers and e-commerce platforms.

[0068] S6. Use game theory methods to solve the mathematical model and obtain the optimal strategy for the supply chain.

[0069] Solve the partial derivative of the supplier's profit function to obtain the optimal first pricing, first preservation measures and first agricultural support intensity;

[0070] Solve the partial derivative of the profit function of the e-commerce platform to obtain the optimal second pricing, second preservation measures and second agricultural support;

[0071] Set inventory limit constraints for suppliers and shipping cost constraints for e-commerce platforms;

[0072] The mathematical model of the supply chain is solved through iterative calculation to obtain the optimal strategy of the supply chain under constraints.

[0073] Compared with the prior art, the method for optimizing and coordinating the agricultural product supply chain provided in this embodiment establishes a mathematical model of the supply chain based on the profit functions of suppliers and e-commerce platforms and the demand functions of consumers constructed through pricing, preservation measures and agricultural support. By solving the mathematical model, the optimal strategy of the supply chain is obtained, thereby maximizing the benefits of suppliers and e-commerce platforms.

[0074] In some embodiments, the following optimization steps are also included:

[0075] S7. Design a joint commission mechanism, expressed as:

[0076] C total (α s ,α ep )=C s (q)+C ep (q)

[0077] Among them, α s represents the cost ratio shared by suppliers, α ep Indicates the proportion of costs shared by the e-commerce platform;

[0078] By analyzing the impact of the cost ratio shared by different members in the supply chain on the overall profit of the supply chain, the shared cost ratio can be optimized and adjusted.

[0079] Example 2

[0080] This embodiment provides a device for optimizing and coordinating the supply chain of agricultural products. Figure 2 As shown, including:

[0081] The first acquisition module is used to obtain the supplier's first pricing, first preservation measures and first agricultural support strength;

[0082] A first function building module, used for building a profit function of a supplier according to the first pricing, the first preservation measure and the first agricultural support strength;

[0083] The second acquisition module is used to obtain the second pricing, second preservation measures and second agricultural support strength of the e-commerce platform;

[0084] A second function construction module, used to construct a profit function of the e-commerce platform and a consumer demand function according to the second pricing, the second preservation measure and the second agricultural support intensity;

[0085] A model building module, used to build a mathematical model of the supply chain based on the profit function of the supplier, the profit function of the e-commerce platform and the demand function of the consumer;

[0086] The model solving module is used to solve the mathematical model using game theory methods to obtain the optimal strategy for the supply chain.

[0087] Example 3

[0088] This embodiment provides an electronic device, such as Figure 3 As shown, it includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the method for optimizing and coordinating the agricultural product supply chain as described in any of the above embodiments is implemented.

[0089] Example 4

[0090] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for optimizing and coordinating the agricultural product supply chain as described in any of the above embodiments is implemented.

[0091] Computer readable storage media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules 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 disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0092] The professionals should further realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0093] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0094] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing and coordinating agricultural product supply chains, It is characterized in that include: Get first-price, first-freshness measures, and first-agricultural support from suppliers; Constructing a supplier's profit function based on the first pricing, the first preservation measure and the first agricultural support intensity; Obtain second pricing, second preservation measures and second agricultural support from e-commerce platforms; Construct the profit function of the e-commerce platform and the demand function of consumers based on the second pricing, the second preservation measure and the second agricultural support intensity; Constructing a mathematical model of the supply chain based on the profit function of the supplier, the profit function of the e-commerce platform, and the demand function of the consumer; The game theory method is used to solve the mathematical model and obtain the optimal strategy for the supply chain.

2. The method for optimizing and coordinating the agricultural product supply chain according to claim 1, It is characterized in that The profit function of the supplier constructed according to the first pricing, the first preservation measure and the first agricultural support intensity is expressed as: P s =p 1 ·q-C s (q)-F(f 1 )-A(a 1 ) Among them, p 1 represents the first price, q represents the sales volume, Cs(q) represents the production cost, f 1 represents the first preservation measure, F(f 1 ) represents the cost of the first preservation measure, a 1 Indicates the first agricultural support strength, A(a 1 ) represents the cost of the first agricultural support effort.

3. The method for optimizing and coordinating the agricultural product supply chain according to claim 1, It is characterized in that The profit function of the e-commerce platform is constructed based on the second pricing, the second preservation measure and the second agricultural support, which is expressed as: P ep =p 2 ·q-C ep (q)-F(f 2 )-A(a 2 ) Among them, p 2 Indicates the second price, C ep (q) represents the operating cost, f 2 Indicates the second preservation measure, F(f 2 ) represents the cost of the second fresh-keeping measure, a 2 represents the second agricultural support strength, A(a 2 ) represents the cost of the second level of agricultural support.

4. The method for optimizing and coordinating the agricultural product supply chain according to claim 3, It is characterized in that The consumer demand function based on the second pricing, the second fresh-keeping measure and the second agricultural support intensity is expressed as: Among them, D 0 represents the initial demand, ε p represents price elasticity, ε f represents the freshness elasticity, ε a Indicates the flexibility of agricultural support.

5. The method for optimizing and coordinating the agricultural product supply chain according to claim 1, It is characterized in that The mathematical model is solved using game theory to obtain the optimal strategy for the supply chain, including: Solve the partial derivative of the supplier's profit function to obtain the optimal first pricing, first preservation measures and first agricultural support intensity; Solve the partial derivative of the profit function of the e-commerce platform to obtain the optimal second pricing, second preservation measures and second agricultural support; Set inventory limit constraints for suppliers and shipping cost constraints for e-commerce platforms; The mathematical model of the supply chain is solved through iterative calculation to obtain the optimal strategy of the supply chain under constraints.

6. The method for optimizing and coordinating the agricultural product supply chain according to any one of claims 1 to 5, It is characterized in that Also includes: Design a joint commission mechanism, expressed as: C total (α s ,α ep )=C s (q)+C ep (q) Among them, α s represents the cost ratio shared by suppliers, α ep Indicates the proportion of costs shared by the e-commerce platform; By analyzing the impact of the cost ratio shared by different members in the supply chain on the overall profit of the supply chain, the shared cost ratio can be optimized and adjusted.

7. A device for optimizing and coordinating the supply chain of agricultural products, It is characterized in that The device comprises: The first acquisition module is used to obtain the supplier's first pricing, first preservation measures and first agricultural support strength; A first function building module, used for building a profit function of a supplier according to the first pricing, the first preservation measure and the first agricultural support strength; The second acquisition module is used to obtain the second pricing, second preservation measures and second agricultural support strength of the e-commerce platform; A second function construction module, used to construct a profit function of the e-commerce platform and a consumer demand function according to the second pricing, the second preservation measure and the second agricultural support intensity; A model building module, used to build a mathematical model of the supply chain based on the profit function of the supplier, the profit function of the e-commerce platform and the demand function of the consumer; The model solving module is used to solve the mathematical model using game theory methods to obtain the optimal strategy for the supply chain.

8. An electronic device, It is characterized in that It comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for optimizing and coordinating the agricultural product supply chain as described in any one of claims 1 to 6 is implemented.

9. A storage medium, It is characterized in that A computer program is stored thereon, and when the program is executed by a processor, the method for optimizing and coordinating the agricultural product supply chain as described in any one of claims 1-6 is implemented.

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