Method and device for determining procurement strategy, and computer-readable storage medium

Abstract

The present invention discloses a method for determining a procurement strategy, a device thereof, and a computer-readable storage medium. The method comprises: obtaining raw material procurement cost information; generating a procurement cost constraint model based on the raw material procurement cost information; generating a predetermined amount of initial raw material procurement cost information and inputting it into the procurement cost constraint model; obtaining the output result of the procurement cost constraint model; and determining a target procurement strategy based on the output result. The present invention solves the technical problem in the related art that after the introduction of tax preferential policies, there is no corresponding and timely adjustment of procurement strategies, resulting in a decline in corporate profits.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method for determining a procurement strategy and a device thereof, and a computer-readable storage medium. Background Art

[0002] In the internationalization process of manufacturing enterprises investing and building factories overseas, local governments usually give local enterprises appropriate tax incentives within the scope of overall economic conditions to attract foreign enterprises. The tax incentives are greater than the excessively high procurement costs. Therefore, it is necessary to consider the tax effect. Enterprises adjust their procurement plans to meet tax policies and obtain tax incentives to minimize overall procurement costs. However, after meeting the requirements of tax policies, increasing the proportion of localized procurement will not increase the tax incentives obtained by the enterprise. If localized procurement continues, it will only reduce the company's net profit. Therefore, it is necessary to balance the procurement proportions of the two places when formulating procurement plans.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present invention provide a method for determining a procurement strategy and a device thereof, as well as a computer-readable storage medium, to at least solve the technical problem in the related art that after the introduction of tax preferential policies, the procurement strategy is not adjusted in a timely manner, resulting in a decline in corporate profits.

[0005] According to one aspect of an embodiment of the present invention, a method for determining a procurement strategy is provided, comprising: obtaining raw material procurement cost information; generating a procurement cost constraint model based on the raw material procurement cost information; generating a predetermined amount of initial raw material procurement cost information, and inputting it into the procurement cost constraint model; obtaining an output result of the procurement cost constraint model; and determining a target procurement strategy based on the output result.

[0006] Optionally, the raw material procurement cost information includes: raw material procurement cost, transportation cost and inventory cost, wherein the raw material procurement cost information is the cost information after a predetermined tax preferential policy.

[0007] Optionally, obtaining the raw material purchase cost includes: determining the raw material purchase cost by using a first formula, wherein the first formula is: Mc represents the purchase cost, x i represents the purchase quantity of the i-th raw material at the first location, y i represents the purchase quantity of the i-th raw material at the second location, c i represents the purchase price of the i-th raw material at the first location, c birepresents the purchase price of the i-th raw material at the second location, n represents the number of types of the raw materials, and i represents the type of the raw material.

[0008] Optionally, obtaining the inventory cost includes: determining the inventory cost by using a second formula, wherein the second formula is: Ic represents the inventory management cost, q i represents the number of warehouses required for the i-th raw material, r i represents the storage price of the i-th raw material per unit quantity per unit time, t1 represents the inventory time of the raw material at the first predetermined location, and t2 represents the inventory time of the raw material at the second predetermined location.

[0009] Optionally, obtaining the transportation cost includes: determining the transportation cost by using a third formula, wherein the third formula is: Tc represents the transportation cost data, p con represents the unit price of the container required for transportation, w con represents the unit load of the container, y i Represents the purchase quantity of the i-th raw material at the second location.

[0010] Optionally, a predetermined amount of initial raw material procurement cost information is generated and input into the procurement cost constraint model, including: generating the predetermined amount of initial raw material procurement cost information by using a predetermined algorithm according to the cost type of the raw material procurement cost information; inputting the predetermined amount of initial raw material procurement cost information into the procurement cost constraint model, so as to process the predetermined amount of initial raw material procurement cost information by using the procurement cost constraint model to obtain the adaptability of the predetermined amount of initial raw material procurement cost information to the procurement cost constraint model.

[0011] Optionally, determining a target procurement strategy based on the output result includes: obtaining a portion of the predetermined amount of initial raw material procurement cost information in the output result, whose fitness to the procurement cost constraint model is greater than a first predetermined value; processing the portion of initial raw material procurement cost information until convergence to obtain optimal procurement cost information; and determining that the procurement strategy corresponding to the optimal procurement cost information is the target procurement strategy.

[0012] Optionally, the method for determining the procurement strategy also includes: when processing the partial quantity of initial raw material procurement cost information cannot meet the convergence condition, screening the partial quantity of initial raw material procurement cost information to obtain target raw material procurement cost information; copying the target raw material procurement cost information to obtain new raw material procurement cost information, and inputting the new raw material procurement cost information into the procurement cost constraint model to obtain the fitness of the new raw material procurement cost information to the procurement cost constraint model, until the target procurement strategy is determined based on the fitness of the new raw material procurement cost information to the procurement cost constraint model.

[0013] According to one aspect of an embodiment of the present invention, a device for determining a procurement strategy is provided, characterized in that it includes: a first acquisition module for acquiring raw material procurement cost information; a first generation module for generating a procurement cost constraint model based on the raw material procurement cost information; a second generation module for generating a predetermined amount of initial raw material procurement cost information and inputting it into the procurement cost constraint model; a second acquisition module for acquiring an output result of the procurement cost constraint model; and a determination module for determining a target procurement strategy based on the output result.

[0014] Optionally, the raw material procurement cost information includes: raw material procurement cost, transportation cost and inventory cost, wherein the raw material procurement cost information is the cost information after a predetermined tax preferential policy.

[0015] Optionally, obtaining the raw material purchase cost includes: a first determination unit, configured to determine the raw material purchase cost by using a first formula, wherein the first formula is: Mc represents the purchase cost, x i represents the purchase quantity of the i-th raw material at the first location, y i represents the purchase quantity of the i-th raw material at the second location, c i represents the purchase price of the i-th raw material at the first location, c bi represents the purchase price of the i-th raw material at the second location, n represents the number of types of the raw materials, and i represents the type of the raw material.

[0016] Optionally, obtaining the inventory cost includes: a second determining unit, configured to determine the inventory cost by using a second formula, wherein the second formula is: Ic represents the inventory management cost, q i represents the number of warehouses required for the i-th raw material, r irepresents the storage price of the i-th raw material per unit quantity per unit time, t1 represents the inventory time of the raw material at the first predetermined location, and t2 represents the inventory time of the raw material at the second predetermined location.

[0017] Optionally, obtaining the transportation cost includes: a third determining unit, configured to determine the transportation cost by using a third formula, wherein the third formula is: Tc represents the transportation cost data, pcon represents the unit price of the container required for transportation, and w con represents the unit load of the container, y i Represents the purchase quantity of the i-th raw material at the second location.

[0018] Optionally, the second generating module comprises: a generating unit, used for generating the predetermined quantity of initial raw material purchasing cost information by using a predetermined algorithm according to the cost type of the raw material purchasing cost information; an input unit, used for inputting the predetermined quantity of initial raw material purchasing cost information into the purchasing cost constraint model, so as to process the predetermined quantity of initial raw material purchasing cost information by using the purchasing cost constraint model, and obtain the adaptability of the predetermined quantity of initial raw material purchasing cost information to the purchasing cost constraint model.

[0019] Optionally, the determination module includes: an acquisition unit, used to acquire a portion of the predetermined amount of initial raw material procurement cost information in the output result, whose fitness to the procurement cost constraint model is greater than a first predetermined value; a processing unit, used to process the portion of initial raw material procurement cost information until convergence to obtain optimal procurement cost information; and a determination unit, used to determine that the procurement strategy corresponding to the optimal procurement cost information is the target procurement strategy.

[0020] Optionally, the device for determining the procurement strategy also includes: a screening unit, used to screen the partial quantity of initial raw material procurement cost information to obtain target raw material procurement cost information when processing the partial quantity of initial raw material procurement cost information cannot meet the convergence condition; a copying unit, used to copy the target raw material procurement cost information to obtain new raw material procurement cost information, and input the new raw material procurement cost information into the procurement cost constraint model to obtain the fitness of the new raw material procurement cost information to the procurement cost constraint model, until the target procurement strategy is determined based on the fitness of the new raw material procurement cost information to the procurement cost constraint model.

[0021] According to one aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed by a processor, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for determining a procurement strategy.

[0022] According to one aspect of an embodiment of the present invention, a processor is provided, wherein the processor is used to run a computer program, wherein the computer program executes any one of the above-mentioned methods for determining a procurement strategy when running.

[0023] In an embodiment of the present invention, raw material procurement cost information is obtained; a procurement cost constraint model is generated based on the raw material procurement cost information; a predetermined amount of initial raw material procurement cost information is generated and input into the procurement cost constraint model; the output result of the procurement cost constraint model is obtained; and a target procurement strategy is determined based on the output result. The procurement strategy determination method of the embodiment of the present invention achieves the purpose of generating a procurement cost constraint model based on raw material procurement cost information, thereby achieving the technical effect of improving the profitability of the enterprise, and further solving the technical problem in the related technology that the tax preferential policy is introduced but the procurement strategy is not adjusted in time, resulting in a decline in corporate profits. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0025] Figure 1 is a flow chart of a method for determining a procurement strategy according to an embodiment of the present invention;

[0026] Figure 2 is a flow chart of a method for determining an overseas procurement strategy according to an embodiment of the present invention;

[0027] Figure 3 2 is a schematic diagram of a device for determining a procurement strategy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Example 1

[0031] According to an embodiment of the present invention, a method embodiment of a method for determining a procurement strategy is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0032] Figure 1 is a flow chart of a method for determining a procurement strategy according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0033] Step S102, obtaining raw material purchasing cost information.

[0034] Optionally, in the above steps, the raw material procurement cost information refers to the procurement plan for the required raw materials, which is a procurement plan formulated based on the properties of the raw materials themselves and the transportation method.

[0035] Step S104: generating a procurement cost constraint model based on the raw material procurement cost information.

[0036] Optionally, in the above steps, the procurement cost constraint model refers to constructing a procurement cost linear programming mathematical model and a genetic algorithm encoding based on procurement cost information.

[0037] Step S106, generating a predetermined amount of initial raw material purchase cost information and inputting it into a purchase cost constraint model.

[0038] Optionally, in the above steps, the purchase cost information is input into the constructed mathematical model, and the optimal solution is output after calculation.

[0039] Step S108, obtaining the output result of the procurement cost constraint model.

[0040] Optionally, in the above steps, the constraint model uses the constraint conditions of its own model to filter the input material procurement cost information, and finally outputs the optimal solution to achieve the purpose of optimizing the procurement strategy.

[0041] Step S110, determining a target procurement strategy based on the output result.

[0042] As can be seen from the above, in the embodiment of the present invention, the raw material procurement cost information can be first obtained; then a procurement cost constraint model can be generated based on the raw material procurement cost information; then a predetermined amount of initial raw material procurement cost information is generated and input into the procurement cost constraint model; then the output result of the procurement cost constraint model is obtained; and finally, the target procurement strategy is determined based on the output result. Through the procurement strategy determination method of the embodiment of the present invention, the purpose of generating a procurement cost constraint model based on raw material procurement cost information is achieved, thereby achieving the technical effect of improving the profitability of the enterprise, and further solving the technical problem in the related technology that the tax preferential policy is introduced but the procurement strategy is not adjusted in time, resulting in a decline in corporate profits.

[0043] As an optional embodiment, the raw material procurement cost information includes: raw material procurement cost, transportation cost and inventory cost, wherein the raw material procurement cost information is the cost information after a predetermined tax preferential policy.

[0044] In this embodiment, the raw material procurement cost includes, but is not limited to: raw material procurement cost, transportation cost, inventory cost and loss cost, wherein the procurement strategy is adjusted according to the local tax preferential policy to obtain optimized raw material procurement cost information.

[0045] As an optional embodiment, obtaining the raw material purchase cost includes: determining the raw material purchase cost by a first formula, wherein the first formula is: Mc represents the purchase cost, x i represents the purchase quantity of the i-th raw material at the first location, y i represents the purchase quantity of the i-th raw material at the second location, c i represents the purchase price of the i-th raw material at the first location, c bi represents the purchase price of the i-th raw material at the second location, n represents the number of types of raw materials, and i represents the type of raw material.

[0046] In the above optional embodiment, the purchase cost data is determined using the estimated sales quantity, and the purchase cost corresponding to the estimated sales quantity is determined by a second formula, wherein the second formula is obtained by adding the value obtained by multiplying the purchase quantity purchased domestically (i.e., the first location) by the purchase cost and the value obtained by multiplying the purchase quantity purchased locally (i.e., the second location) by the purchase cost.

[0047] As an optional embodiment, obtaining the inventory cost includes: determining the inventory cost by using a second formula, wherein the second formula is: Ic represents inventory management costs, q i represents the number of warehouses required for the i-th raw material, r i It represents the storage price of the i-th raw material per unit quantity per unit time, t1 represents the inventory time of the raw material at the first predetermined location, and t2 represents the inventory time of the raw material at the second predetermined location.

[0048] In this embodiment, the inventory management cost data is calculated using the estimated sales quantity by multiplying the number of warehouses required for the various raw materials by the corresponding storage unit prices of the various raw materials per unit time, and then multiplying the result by the sum of the inventory time of the raw materials at the first predetermined location and the inventory time of the raw materials at the second predetermined location to obtain the total inventory management fee.

[0049] As an optional embodiment, obtaining the transportation cost includes: determining the transportation cost by a third formula, wherein the third formula is: Tc represents the transportation cost data, p con represents the unit price of the container required for transportation, w con represents the unit load of the container, y i Represents the purchase quantity of the i-th raw material at the second location.

[0050] It should be noted that in this embodiment, the shipping cost from the inland port to the overseas production base port needs to be considered. The specific decision is based on the actual situation. The billing of cross-border maritime transportation is generally carried out in the form of leasing containers, so the transportation cost is measured by the number of containers required, and the calculation process is simplified according to the actual situation. The final cost (i.e., transportation cost data) is obtained by calculating the number of containers required for raw materials (the purchase amount of raw materials at the second location is divided by the unit carrying capacity of the container and then rounded up) and then multiplying it by the unit price of container leasing (i.e., the unit price of the container required for transportation).

[0051] As an optional embodiment, a predetermined amount of initial raw material procurement cost information is generated and input into a procurement cost constraint model, including: generating a predetermined amount of initial raw material procurement cost information using a predetermined algorithm according to the cost type of the raw material procurement cost information; inputting the predetermined amount of initial raw material procurement cost information into the procurement cost constraint model, so as to process the predetermined amount of initial raw material procurement cost information using the procurement cost constraint model to obtain the adaptability of the predetermined amount of initial raw material procurement cost information to the procurement cost constraint model.

[0052] In this embodiment, the fitness of the constraint model refers to the degree of matching of the data to the model conditions in the mathematical model, which is pseudo-biologically represented as "fitness". This indicator can reflect the fitness of the input original procurement cost information to the constructed constraint model.

[0053] As an optional embodiment, determining a target procurement strategy based on the output results includes: obtaining a portion of the initial raw material procurement cost information of a predetermined number of initial raw material procurement cost information in the output results, whose fitness to the procurement cost constraint model is greater than a first predetermined value; processing the portion of the initial raw material procurement cost information until convergence to obtain optimal procurement cost information; and determining the procurement strategy corresponding to the optimal procurement cost information as the target procurement strategy.

[0054] In the above optional embodiment, a part of the predetermined number of initial raw material procurement cost information in the output results whose fitness to the procurement cost constraint model is greater than a first predetermined value is subjected to hybridization and mutation processing, and the fitness is processed to be less than the first predetermined value, so as to obtain the final optimal procurement cost information as the target procurement strategy.

[0055] It should be noted that, in the above embodiments, hybridization processing and mutation processing are data processing methods in genetic algorithms, among which hybridization processing, also known as crossover processing, refers to the operation of replacing and recombining partial structures of two parent individuals of the data into a new individual; mutation processing refers to replacing the gene values ​​of certain data in the individual coding string with other gene values ​​based on the mutation probability to form a new individual.

[0056] As an optional embodiment, the method for determining the procurement strategy also includes: when processing a portion of the initial raw material procurement cost information cannot meet the convergence conditions, screening a portion of the initial raw material procurement cost information to obtain target raw material procurement cost information; copying the target raw material procurement cost information to obtain new raw material procurement cost information, and inputting the new raw material procurement cost information into the procurement cost constraint model to obtain the fitness of the new raw material procurement cost information to the procurement cost constraint model, until the target procurement strategy is determined based on the fitness of the new raw material procurement cost information to the procurement cost constraint model.

[0057] It should be noted that the use of genetic algorithms can quickly obtain the optimal solution after several iterations, but there are certain defects, and a local optimal solution may be obtained. The genetic algorithm can be used for multiple calculations for verification to avoid the situation of obtaining a local optimal solution.

[0058] Figure 2 is a flow chart of a method for determining an overseas procurement strategy according to an embodiment of the present invention. Figure 2As shown, firstly, the raw material procurement plan (i.e., raw material procurement cost information) is obtained, and the unit price of freight containers (i.e., the unit price of containers required for transportation) and the unit price of overseas warehousing (i.e., inventory cost) are obtained, and then the overseas tax incentive policies (i.e., tax incentive strategies) are obtained to construct a procurement cost linear programming model (i.e., cost constraint model) and genetic algorithm coding, and the initial population of the genetic algorithm (i.e., initial raw material procurement cost information) is generated according to the cost information, and then it is determined whether the initial population meets the constraint conditions. If it does not meet the constraint conditions (i.e., numerical divergence), the non-compliant population is eliminated; if it meets the constraint conditions (i.e., numerical convergence), the population fitness is continued to be calculated, and then it is determined whether the population is the optimal solution according to the fitness. If it is not the optimal solution, the samples with higher fitness are subjected to hybridization and mutation processing, and the step of calculating the population fitness is returned; if it is the optimal solution, the solution is output as the target optimal procurement strategy.

[0059] From the above, it can be seen that in the embodiment of the present invention, the overseas procurement problem is mathematically modeled with the minimum procurement cost as the objective function, policy factors are taken into account as model constraints, and finally a genetic algorithm is used to solve the optimal ratio value, so that the procurement plan is made more intelligent and scientific, providing guarantee for the procurement plan.

[0060] Example 2

[0061] According to one aspect of an embodiment of the present invention, a device for determining a procurement strategy is provided. Figure 3 is a schematic diagram of a device for determining a procurement strategy according to an embodiment of the present invention. Figure 3 As shown, the purchasing strategy determination device includes: a first acquisition module 31, a first generation module 33, a second generation module 35, a second acquisition module 37 and a determination module 39. The purchasing strategy determination device is described below.

[0062] The first acquisition module 31 is used to acquire raw material procurement cost information.

[0063] The first generating module 33 is used to generate a purchasing cost constraint model based on the raw material purchasing cost information.

[0064] The second generating module 35 is used to generate a predetermined amount of initial raw material purchasing cost information and input it into the purchasing cost constraint model.

[0065] The second acquisition module 37 is used to obtain the output result of the procurement cost constraint model.

[0066] The determination module 39 is used to determine the target procurement strategy based on the output result.

[0067] It should be noted that the first acquisition module 31, the first generation module 33, the second generation module 35, the second acquisition module 37 and the determination module 39 correspond to steps S102 to S110 in Embodiment 1, and the examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above Embodiment 1. It should be noted that the above modules, as part of the device, can be executed in a computer system such as a set of computer executable instructions.

[0068] As can be seen from the above, in the embodiment of the present invention, the first acquisition module 31 can be used to first acquire the raw material purchase cost information; then the first generation module 33 can be used to generate the purchase cost constraint model based on the raw material purchase cost information; then the second generation module 35 can be used to generate a predetermined amount of initial raw material purchase cost information and input it into the purchase cost constraint model; then the second acquisition module 37 can be used to acquire the output result of the purchase cost constraint model; finally, the determination module 39 can be used to determine the target purchase strategy based on the output result. Through the purchase strategy determination device of the embodiment of the present invention, the purpose of generating the purchase cost constraint model based on the raw material purchase cost information is achieved, thereby achieving the technical effect of improving the profitability of the enterprise, and further solving the technical problem in the related technology that the purchase strategy is not adjusted in time after the tax preferential policy is introduced, resulting in a decline in the profitability of the enterprise.

[0069] Optionally, the raw material procurement cost information includes: raw material procurement cost, transportation cost and inventory cost, wherein the raw material procurement cost information is the cost information after a predetermined tax preferential policy.

[0070] Optionally, obtaining the raw material purchase cost includes: a first determining unit, configured to determine the raw material purchase cost by using a first formula, wherein the first formula is: Mc represents the purchase cost, x i represents the purchase quantity of the i-th raw material at the first location, y i represents the purchase quantity of the i-th raw material at the second location, c i represents the purchase price of the i-th raw material at the first location, c bi represents the purchase price of the i-th raw material at the second location, n represents the number of types of raw materials, and i represents the type of raw material.

[0071] Optionally, obtaining the inventory cost includes: a second determining unit, configured to determine the inventory cost by using a second formula, wherein the second formula is: Ic represents inventory management costs, q i represents the number of warehouses required for the i-th raw material, r iIt represents the storage price of the i-th raw material per unit quantity per unit time, t1 represents the inventory time of the raw material at the first predetermined location, and t2 represents the inventory time of the raw material at the second predetermined location.

[0072] Optionally, obtaining the transportation cost includes: a third determining unit, configured to determine the transportation cost by using a third formula, wherein the third formula is: Tc represents the transportation cost data, p con represents the unit price of the container required for transportation, w con represents the unit load of the container, y i Represents the purchase quantity of the i-th raw material at the second location.

[0073] Optionally, the second generation module includes: a generation unit, used to generate a predetermined number of initial raw material procurement cost information using a predetermined algorithm according to the cost type of the raw material procurement cost information; an input unit, used to input the predetermined number of initial raw material procurement cost information into the procurement cost constraint model, so as to process the predetermined number of initial raw material procurement cost information using the procurement cost constraint model to obtain the adaptability of the predetermined number of initial raw material procurement cost information to the procurement cost constraint model.

[0074] Optionally, the determination module includes: an acquisition unit, used to acquire a portion of the initial raw material procurement cost information of a predetermined number of initial raw material procurement cost information in the output result, whose fitness to the procurement cost constraint model is greater than a first predetermined value; a processing unit, used to process a portion of the initial raw material procurement cost information until convergence to obtain optimal procurement cost information; and a determination unit, used to determine that the procurement strategy corresponding to the optimal procurement cost information is the target procurement strategy.

[0075] Optionally, the device for determining the procurement strategy also includes: a screening unit, used to screen a part of the initial raw material procurement cost information to obtain target raw material procurement cost information when processing of the part of the initial raw material procurement cost information cannot meet the convergence condition; a copying unit, used to copy the target raw material procurement cost information to obtain new raw material procurement cost information, and input the new raw material procurement cost information into the procurement cost constraint model to obtain the fitness of the new raw material procurement cost information to the procurement cost constraint model, until the target procurement strategy is determined based on the fitness of the new raw material procurement cost information to the procurement cost constraint model.

[0076] Example 3

[0077] According to one aspect of an embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for determining a procurement strategy.

[0078] Example 4

[0079] According to one aspect of an embodiment of the present invention, a processor is provided, and the processor is used to run a computer program, wherein the computer program executes any one of the methods for determining a procurement strategy when running.

[0080] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0081] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0082] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0083] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0084] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0085] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0086] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a procurement strategy, characterized in that: include: Acquire raw material purchase cost information, wherein the raw material purchase cost information includes: raw material purchase cost, transportation cost and inventory cost, wherein the raw material purchase cost information is cost information after a predetermined tax preferential policy is applied; Generate a procurement cost constraint model based on the raw material procurement cost information; Generate a predetermined amount of initial raw material purchase cost information and input it into the purchase cost constraint model; Obtaining an output result of the procurement cost constraint model; Determining a target procurement strategy based on the output results; Wherein, obtaining the raw material purchase cost includes: determining the raw material purchase cost by a first formula, wherein the first formula is: Mc represents the purchase cost, x i represents the purchase quantity of the i-th raw material at the first location, y i represents the purchase quantity of the i-th raw material at the second location, c i represents the purchase price of the i-th raw material at the first location, c bi represents the purchase price of the i-th raw material at the second location, n represents the number of types of the raw materials, and i represents the type of the raw material; Wherein, obtaining the inventory cost includes: determining the inventory cost by a second formula, wherein the second formula is: Ic represents the inventory management cost, q i represents the number of warehouses required for the i-th raw material, r i represents the storage unit price of the i-th raw material per unit quantity per unit time, t1 represents the inventory time of the raw material at the first predetermined location, and t2 represents the inventory time of the raw material at the second predetermined location; Wherein, obtaining the transportation cost includes: determining the transportation cost by a third formula, wherein the third formula is: Tc represents the transportation cost data, p con represents the unit price of the container required for transportation, w con represents the unit load of the container, y i Represents the purchase quantity of the i-th raw material at the second location.

2. The method according to claim 1, characterized in that Generating a predetermined amount of initial raw material purchase cost information and inputting it into the purchase cost constraint model includes: Generate the predetermined amount of initial raw material procurement cost information using a predetermined algorithm according to the cost type of the raw material procurement cost information; The predetermined quantity of initial raw material procurement cost information is input into the procurement cost constraint model, so as to utilize the procurement cost constraint model to process the predetermined quantity of initial raw material procurement cost information and obtain the adaptability of the predetermined quantity of initial raw material procurement cost information to the procurement cost constraint model.

3. The method according to claim 2, characterized in that Determining a target procurement strategy based on the output results includes: Obtaining a portion of the predetermined amount of initial raw material procurement cost information in the output result, whose fitness to the procurement cost constraint model is greater than a first predetermined value; Processing the initial raw material purchase cost information of the partial quantity until convergence to obtain optimal purchase cost information; Determine the procurement strategy corresponding to the optimal procurement cost information as the target procurement strategy.

4. The method according to claim 3, characterized in that: Also includes: When the processing of the partial quantity of initial raw material purchase cost information fails to satisfy the convergence condition, screening the partial quantity of initial raw material purchase cost information to obtain target raw material purchase cost information; The target raw material procurement cost information is copied to obtain new raw material procurement cost information, and the new raw material procurement cost information is input into the procurement cost constraint model to obtain the fitness of the new raw material procurement cost information to the procurement cost constraint model, until the target procurement strategy is determined based on the fitness of the new raw material procurement cost information to the procurement cost constraint model.

5. A device for determining a purchasing strategy, characterized in that: include: A first acquisition module is used to acquire raw material purchase cost information, wherein the raw material purchase cost information includes: raw material purchase cost, transportation cost and inventory cost, wherein the raw material purchase cost information is cost information after a predetermined tax preferential policy; A first generating module, used to generate a purchasing cost constraint model based on the raw material purchasing cost information; A second generating module, used to generate a predetermined amount of initial raw material purchasing cost information and input it into the purchasing cost constraint model; A second acquisition module is used to obtain the output result of the procurement cost constraint model; A determination module, used for determining a target procurement strategy based on the output result; The first acquisition module includes: a first determination unit, which is used to determine the raw material procurement cost through a first formula, wherein the first formula is: Mc represents the purchase cost, x i represents the purchase quantity of the i-th raw material at the first location, y i represents the purchase quantity of the i-th raw material at the second location, c i represents the purchase price of the i-th raw material at the first location, c bi represents the purchase price of the i-th raw material at the second location, n represents the type and quantity of the raw material, and i represents the type of the raw material; a second determining unit is used to determine the inventory cost by a second formula, wherein the second formula is: Ic represents the inventory management cost, q i represents the number of warehouses required for the i-th raw material, r i represents the storage unit price of the i-th raw material per unit time, t1 represents the inventory time of the raw material at the first predetermined location, and t2 represents the inventory time of the raw material at the second predetermined location; a third determining unit is used to determine the transportation cost by a third formula, wherein the third formula is: Tc represents the transportation cost data, p con represents the unit price of the container required for transportation, w con represents the unit load of the container, y i Represents the purchase quantity of the i-th raw material at the second location.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed by a processor, the device where the computer-readable storage medium is located is controlled to execute the method for determining a procurement strategy according to any one of claims 1 to 4.

7. A processor, characterized in that: The processor is used to run a computer program, wherein the computer program executes the method for determining a procurement strategy according to any one of claims 1 to 4 when running.

Images