Method for optimizing procurement strategy, device thereof, and computer readable storage medium

Abstract

The application discloses a kind of optimization method of procurement strategy and its device, computer readable storage medium. Among them, the method includes: using the material procurement price corresponding to a variety of material procurement mode to adjust original material procurement proportion, obtain target material procurement proportion, wherein the original material procurement proportion is the quantity proportion of material purchased by a variety of material procurement mode;Using material storage cost to adjust original material procurement quantity, obtain target material procurement quantity;Using target material procurement proportion and target material procurement quantity to optimize procurement strategy, obtain target procurement strategy.The application solves the technical problem that the reasonable proportion of raw material procurement quantity and production capacity cannot be controlled during procurement in the related art, resulting in higher production cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computing, in particular to a procurement strategy optimization method and device and a computer readable storage medium. BACKGROUND

[0002] Manufacturing enterprises investing in overseas factories is one of the important ways of internationalization of enterprises, however, setting up production bases overseas involves many factors such as remote geographical location, localization difference, market demand, storage cost, etc. When enterprises purchase overseas, they need to consider market orientation combined with many factors, in the case of purchasing more, raw materials are cheap, but capacity is easy to be excessive, which will lead to additional storage cost; in the case of purchasing less, raw materials will be more expensive, production cost will be increased, and the market may be in short supply, so in the case of uncertain production plan, independent optimization of the procurement plan may have adverse effects on cost control, and an optimization method is urgently needed to balance the relationship among the above factors and achieve the optimal purpose of the procurement plan.

[0003] At present, no effective solution has been proposed for the above problems. SUMMARY

[0004] The embodiments of the present application provide a procurement strategy optimization method and device and a computer readable storage medium to at least solve the technical problem that in the related art, the reasonable proportion of raw material procurement quantity and capacity cannot be controlled when purchasing, resulting in high production cost.

[0005] According to an aspect of the embodiments of the present application, a procurement strategy optimization method is provided, including: adjusting an original raw material procurement proportion by using raw material procurement prices corresponding to a plurality of raw material procurement methods to obtain a target raw material procurement proportion, wherein the original raw material procurement proportion is the quantity proportion of raw materials procured by the plurality of raw material procurement methods; adjusting an original raw material procurement quantity by using raw material storage cost to obtain a target raw material procurement quantity; and optimizing a procurement strategy by using the target raw material procurement proportion and the target raw material procurement quantity to obtain a target procurement strategy.

[0006] Optionally, the adjusting of the original raw material procurement proportion by using the raw material procurement prices corresponding to the plurality of raw material procurement methods to obtain the target raw material procurement proportion includes: obtaining raw material procurement prices respectively corresponding to the plurality of raw material procurement methods; and adjusting the original raw material procurement proportion by using the original raw material procurement quantity and the raw material procurement prices to obtain the target raw material procurement proportion.

[0007] Optionally, the use of the original material purchase quantity and the material purchase price to adjust the original material purchase ratio to obtain the target material purchase ratio includes: dynamically adjusting the original material purchase ratio according to the original material purchase quantity and the material purchase price to obtain multiple material purchase prices for the original material purchase quantity; and determining the material purchase ratio corresponding to the minimum material purchase price among the multiple material purchase prices as the target material purchase ratio.

[0008] Optionally, dynamically adjusting the original material purchase ratio according to the original material purchase quantity and the material purchase price to obtain multiple material purchase prices for the original material purchase quantity includes: dynamically adjusting the original material purchase ratio according to a first formula to obtain multiple material purchase prices for the original material purchase quantity, wherein the first formula is: P M Indicates the material purchase price, x i represents the purchase quantity of the i-th material at the first location, C i represents the purchase price of the i-th material at the first location, y i represents the purchase quantity of the i-th material at the second location, C bi represents the purchase price of the i-th material at the second location, where i represents the type of material and is a positive integer.

[0009] Optionally, the use of material storage cost to adjust the original material purchase quantity to obtain the target material purchase quantity includes: obtaining the unit storage cost of the material and the storage space required for the material; obtaining the minimum total storage cost and the minimum storage cost under the current production plan requirements; adjusting the original material purchase quantity based on the unit storage cost, the storage space, the minimum total storage cost and the minimum storage cost under the current production plan requirements to obtain the target material purchase quantity.

[0010] Optionally, the unit storage cost, the storage space, the minimum total storage cost, and the minimum storage cost under the current production plan requirement satisfy a second formula, wherein the second formula is: C S Denotes the minimum total storage cost, S K represents the minimum storage cost under the current production plan requirements, represents the unit storage cost of the i-th material, Represents the storage space of the i-th material.

[0011] Optionally, the use of the target material procurement ratio and the target material procurement quantity to optimize the procurement strategy to obtain the target procurement strategy includes: processing the target material procurement ratio and the target material procurement quantity through a predetermined algorithm to optimize the procurement strategy to obtain the target procurement strategy, wherein the predetermined algorithm is a genetic algorithm.

[0012] According to another aspect of an embodiment of the present invention, a procurement strategy optimization device is also provided, including: a first adjustment module, used to adjust the original material procurement ratio using the material procurement prices corresponding to a plurality of material procurement methods to obtain a target material procurement ratio, wherein the original material procurement ratio is the proportion of the quantity of materials purchased through the plurality of material procurement methods; a second adjustment module, used to adjust the original material procurement quantity using the material storage cost to obtain the target material procurement quantity; an optimization module, used to optimize the procurement strategy using the target material procurement ratio and the target material procurement quantity to obtain a target procurement strategy.

[0013] Optionally, the first adjustment module includes: a first acquisition unit, used to obtain the material procurement prices corresponding to the multiple material procurement methods; a first adjustment unit, used to adjust the original material procurement ratio using the original material procurement quantity and the material procurement price to obtain the target material procurement ratio.

[0014] Optionally, the first adjustment unit includes: a first adjustment sub-unit, used to dynamically adjust the original material purchase ratio according to the original material purchase quantity and the material purchase price to obtain multiple material purchase prices for the original material purchase quantity; a determination sub-unit, used to determine that the material purchase ratio corresponding to the minimum material purchase price among the multiple material purchase prices is the target material purchase ratio.

[0015] Optionally, the first adjustment subunit includes: a second adjustment subunit, configured to dynamically adjust the original material purchase ratio using a first formula to obtain multiple material purchase prices for the original material purchase quantity, wherein the first formula is: P M Indicates the material purchase price, x i represents the purchase quantity of the i-th material at the first location, C i represents the purchase price of the i-th material at the first location, y i represents the purchase quantity of the i-th material at the second location, C bi represents the purchase price of the i-th material at the second location, where i represents the type of material and is a positive integer.

[0016] Optionally, the second adjustment module includes: a second acquisition unit, used to obtain the unit storage cost of the material and the storage space required for the material; a third acquisition unit, used to obtain the minimum total storage cost and the minimum storage cost under the current production plan requirements; a second adjustment unit, used to adjust the original material purchase quantity based on the unit storage cost, the storage space, the minimum total storage cost and the minimum storage cost under the current production plan requirements to obtain the target material purchase quantity.

[0017] Optionally, the unit storage cost, the storage space, the minimum total storage cost, and the minimum storage cost under the current production plan requirement satisfy a second formula, wherein the second formula is: C S Denotes the minimum total storage cost, S K represents the minimum storage cost under the current production plan requirements, represents the unit storage cost of the i-th material, Represents the storage space of the i-th material.

[0018] Optionally, the optimization module includes: a processing unit, configured to process the target material procurement ratio and the target material procurement quantity through a predetermined algorithm to optimize the procurement strategy and obtain the target procurement strategy, wherein the predetermined algorithm is a genetic algorithm.

[0019] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also 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 procurement strategy optimization methods.

[0020] According to another aspect of an embodiment of the present invention, a processor is provided, which is configured to run a computer program, wherein the computer program executes any one of the above-mentioned methods for optimizing procurement strategies when running.

[0021] In an embodiment of the present invention, the material purchase prices corresponding to various material purchase methods are used to adjust the original material purchase ratio to obtain a target material purchase ratio, wherein the original material purchase ratio is the proportion of the quantity of materials purchased through various material purchase methods; the original material purchase quantity is adjusted using the material storage cost to obtain the target material purchase quantity; the purchase strategy is optimized using the target material purchase ratio and the target material purchase quantity to obtain the target purchase strategy. Through the purchase strategy optimization method of the embodiment of the present invention, the purpose of adjusting the purchase ratio and purchase quantity corresponding to various materials using the purchase prices and storage costs and optimizing the purchase strategy is achieved, thereby achieving the technical effect of greatly saving purchase costs, and further solving the technical problem in the related technology that the reasonable ratio of raw material purchase quantity and production capacity cannot be controlled during purchase, resulting in higher production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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:

[0023] Figure 1 is a flow chart of a method for optimizing a procurement strategy according to an embodiment of the present invention;

[0024] Figure 2 is a flowchart of a method for joint optimization of procurement plan and production plan according to an embodiment of the present invention;

[0025] Figure 3 3 is a schematic diagram of a method for optimizing a procurement strategy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, 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 embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the description 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 numbers 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 clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] Example 1

[0029] According to an embodiment of the present invention, a method embodiment of a method for optimizing 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.

[0030] Figure 1 Flowchart of the method for optimizing the procurement strategy according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps:

[0031] Step S102 , adjusting the original material procurement ratio using the material procurement prices corresponding to the various material procurement methods to obtain a target material procurement ratio, wherein the original material procurement ratio is the proportion of the quantity of materials purchased through the various material procurement methods.

[0032] Optionally, in the above steps, the procurement methods of materials are divided into domestic (i.e., local sales location) procurement and overseas (i.e., outside the sales location) procurement. Different sales products use different procurement methods to control sales costs.

[0033] Step S104: adjusting the original material purchase quantity using the material storage cost to obtain the target material purchase quantity.

[0034] Optionally, in the above steps, material storage costs refer to the rental costs required during the storage of inventory, as well as costs such as aging, decay, and failure caused by long storage time.

[0035] Step S106 , optimizing the procurement strategy using the target material procurement ratio and the target material procurement quantity to obtain a target procurement strategy.

[0036] From the above, it can be seen that in the embodiment of the present invention, first, the material purchase prices corresponding to the various material purchase methods can be used to adjust the original material purchase ratio to obtain the target material purchase ratio, wherein the original material purchase ratio is the proportion of the quantity of materials purchased through various material purchase methods; then the material storage cost can be used to adjust the original material purchase quantity to obtain the target material purchase quantity; finally, the target material purchase ratio and the target material purchase quantity are used to optimize the purchase strategy to obtain the target purchase strategy. Through the optimization method of the purchase strategy of the embodiment of the present invention, the purpose of adjusting the corresponding purchase ratio and purchase quantity of multiple materials according to their purchase prices and storage costs and optimizing the purchase strategy is achieved, thereby achieving the technical effect of greatly saving purchase costs, and further solving the technical problem in the related technology that the reasonable ratio of raw material purchase quantity and production capacity cannot be controlled during purchase, resulting in higher production costs.

[0037] As an optional embodiment, the original material procurement ratio is adjusted using the material procurement prices corresponding to multiple material procurement methods to obtain the target material procurement ratio, including: obtaining the material procurement prices corresponding to the multiple material procurement methods; adjusting the original material procurement ratio using the original material procurement quantity and material procurement price to obtain the target material procurement ratio.

[0038] In this embodiment, when domestic procurement is adopted, the transportation cost will be greatly reduced. However, sometimes when the raw materials of the target sales products are purchased overseas, the transportation cost will be greatly increased due to the long transportation distance.

[0039] Furthermore, when the unit price of material purchases remains constant, considering the material purchase quantity, due to the limited inventory capacity of the factory and the different storage costs of various materials and finished products, the warehousing costs of overseas production bases need to be taken into account.

[0040] As an optional embodiment, the original material purchase quantity and the material purchase price are used to adjust the original material purchase ratio to obtain the target material purchase ratio, including: the original material purchase quantity and the material purchase price.

[0041] In the above optional embodiment, the domestic and overseas purchase ratios of raw materials are adjusted according to the purchase quantity and purchase price of the raw materials, and the material purchase ratio corresponding to the minimum cost price is selected as the target material purchase ratio.

[0042] As an optional embodiment, dynamically adjusting the original material purchase ratio according to the original material purchase quantity and the material purchase price to obtain multiple material purchase prices for the original material purchase quantity includes: dynamically adjusting the original material purchase ratio according to a first formula to obtain multiple material purchase prices for the original material purchase quantity, wherein the first formula is: P M Indicates the material purchase price, x i represents the purchase quantity of the i-th material at the first location, C i represents the purchase price of the i-th material at the first location, y i represents the purchase quantity of the i-th material at the second location, C bi It represents the purchase price of the i-th material at the second location, where i represents the type of material and is a positive integer.

[0043] In this embodiment, the original material purchase ratio is dynamically adjusted through a predetermined formula algorithm to obtain multiple material purchase prices for the original material purchase quantity. The purchase quantity of all materials at the first location (i.e., the domestic purchase location) and the corresponding purchase unit price at the first location can be multiplied, and then the purchase quantity of all materials at the second location (i.e., the overseas purchase location) and the corresponding purchase unit price at the second location can be multiplied, and then the two multiplied values ​​can be added together to obtain the final material purchase price. Among them, the sum of the purchase quantity of the material at the first location and the purchase quantity at the second location is greater than the total demand for the material. That is, x i +y i ≥Q i , i=1,2…n。

[0044] As an optional embodiment, the original material purchase quantity is adjusted using the material storage cost to obtain the target material purchase quantity, including: obtaining the unit storage cost of the material and the storage space required for the material; obtaining the minimum total storage cost and the minimum storage cost under the current production plan requirements; adjusting the original material purchase quantity based on the unit storage cost, storage space, minimum total storage cost and the minimum storage cost under the current production plan requirements to obtain the target material purchase quantity.

[0045] In the above optional embodiment, the material storage cost is used to adjust the original material purchase quantity. Based on the unit storage cost of the material and the storage space required for the material, the minimum storage cost under the current production plan requirements is analyzed according to the algorithm. Finally, the original material purchase quantity is adjusted by the unit storage cost, storage space, minimum total storage cost and minimum storage cost under the current production plan requirements to obtain the target material purchase quantity.

[0046] As an optional embodiment, the unit storage cost, the storage space, the minimum storage total cost and the minimum storage cost under the current production plan meet a second formula, wherein the second formula is: C S represents the minimum storage total cost, S K represents the minimum storage cost under the current production plan, represents the unit storage cost of the i-th material, represents the storage space of the i-th material.

[0047] In the above optional embodiment, the minimum storage total cost can be obtained by multiplying the storage cost of each unit of material or product of each material by the storage space required by the material and the cost corresponding to the material and cost, adding the minimum storage cost meeting the current production plan, and finally performing minimum value processing on the obtained value to obtain the minimum storage total cost.

[0048] It should be noted that the unit storage cost is a constant, and therefore the storage cost can be effectively reduced by reducing the storage space required by the material and product, i.e. increasing the storage proportion of the material requiring small storage space, reducing the storage proportion of the material requiring large storage space, or reducing the procurement lead time and reducing the time of storing the material or product in the warehouse under the premise of ensuring the current production plan.

[0049] As an optional embodiment, the target material procurement proportion and the target material procurement quantity are used to optimize the procurement strategy to obtain a target procurement strategy, including: processing the target material procurement proportion and the target material procurement quantity by a predetermined algorithm to optimize the procurement strategy to obtain the target procurement strategy, wherein the predetermined algorithm is a genetic algorithm.

[0050] It should be noted that the genetic algorithm in the above optional embodiment refers to a computational model simulating the natural selection and genetic mechanism of the biological evolution process of Darwin's biological evolution theory, and is widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.

[0051] Further, the genetic algorithm is used for solving, the selection operator, the crossover operator and the mutation operator are applied to the population according to the constraint condition and the fitness function, and the maximum fitness individual is obtained as the optimal solution output.

[0052] Figure 2 is a flowchart of a procurement plan and production plan joint optimization method according to an embodiment of the present application, as shown in Figure 2As shown, when starting to prepare to purchase materials, two aspects are considered first, the first aspect is the material purchase price, wherein the corresponding price when purchasing domestically and the corresponding price when purchasing overseas are comprehensively analyzed to obtain an optimal strategy conforming to the purchase price, and the purchase proportion of the material is adjusted according to the strategy; the other aspect is the material purchase quantity, mainly analyzing three aspects of the safety stock in the warehousing cost, the unit warehousing cost and the warehousing space required by the material or finished product, to obtain an optimal strategy conforming to the purchase quantity, and the material purchase quantity is adjusted according to the strategy, and finally the optimal strategy conforming to the purchase price and the purchase quantity is analyzed by the genetic algorithm to obtain the total purchase strategy.

[0053] As can be seen from the above, in the embodiment of the application, by combining different production plans, the domestic and overseas purchase quantity is dynamically adjusted to reduce the material purchase price, or by reducing the purchase lead time or reducing the warehousing quantity of the material or finished product with higher unit warehousing cost, so as to realize the lowest purchase cost and realize the optimal purchase scheme.

[0054] Embodiment 2

[0055] According to another aspect of the embodiment of the application, a purchase strategy optimization device is also provided, Figure 3 is a schematic diagram of the purchase strategy optimization method according to the embodiment of the application, as Figure 3 shown, the purchase strategy optimization device comprises a first adjustment module 31, a second adjustment module 33 and an optimization module 35. The purchase strategy optimization device will be described below.

[0056] The first adjustment module 31 is used for adjusting the original material purchase proportion by using the material purchase price corresponding to the plurality of material purchase modes to obtain the target material purchase proportion, wherein the original material purchase proportion is the quantity ratio of the material purchased by the plurality of material purchase modes.

[0057] The second adjustment module 33 is used for adjusting the original material purchase quantity by using the material storage cost to obtain the target material purchase quantity.

[0058] The optimization module 35 is used for optimizing the purchase strategy by using the target material purchase proportion and the target material purchase quantity to obtain the target purchase strategy.

[0059] It should be noted that the first adjustment module 31, the second adjustment module 33 and the optimization module 35 correspond to steps S102 to S106 in embodiment 1, the above modules have the same instances and application scenarios as the corresponding steps, 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 group of computer executable instructions.

[0060] As can be seen from the above, in the embodiment of the present invention, firstly, the original material purchase ratio can be adjusted by using the material purchase prices corresponding to the various material purchase methods with the help of the first adjustment module 31 to obtain the target material purchase ratio, wherein the original material purchase ratio is the proportion of the quantity of materials purchased through various material purchase methods; then, the original material purchase quantity is adjusted by using the material storage cost with the help of the adjustment module 33 to obtain the target material purchase quantity; finally, the purchase strategy is optimized by using the target material purchase ratio and the target material purchase quantity with the help of the optimization module 35 to obtain the target purchase strategy. Through the purchase strategy optimization device of the embodiment of the present invention, the purpose of adjusting the purchase ratio and purchase quantity corresponding to the purchase price and storage cost of multiple materials and optimizing the purchase strategy is achieved, thereby achieving the technical effect of greatly saving purchase costs, and further solving the technical problem in the related technology that the reasonable ratio of raw material purchase quantity and production capacity cannot be controlled during purchase, resulting in higher production costs.

[0061] Optionally, the first adjustment module includes: a first acquisition unit, used to obtain material procurement prices corresponding to multiple material procurement methods; a first adjustment unit, used to adjust the original material procurement ratio using the original material procurement quantity and material procurement price to obtain the target material procurement ratio.

[0062] Optionally, the first adjustment unit includes: a first adjustment sub-unit, used to dynamically adjust the original material purchase ratio according to the original material purchase quantity and the material purchase price to obtain multiple material purchase prices for the original material purchase quantity; a determination sub-unit, used to determine the material purchase ratio corresponding to the minimum material purchase price among the multiple material purchase prices as the target material purchase ratio.

[0063] Optionally, the first adjustment subunit includes: a second adjustment subunit, configured to dynamically adjust the original material purchase ratio using a first formula to obtain multiple material purchase prices for the original material purchase quantity, wherein the first formula is: P M Indicates the material purchase price, x i represents the purchase quantity of the i-th material at the first location, C i represents the purchase price of the i-th material at the first location, y i represents the purchase quantity of the i-th material at the second location, C bi It represents the purchase price of the i-th material at the second location, where i represents the type of material and is a positive integer.

[0064] Optionally, the second adjustment module includes: a second acquisition unit, used to obtain the unit storage cost of the material and the storage space required for the material; a third acquisition unit, used to obtain the minimum total storage cost and the minimum storage cost under the current production plan requirements; a second adjustment unit, used to adjust the original material purchase quantity based on the unit storage cost, storage space, minimum total storage cost and the minimum storage cost under the current production plan requirements to obtain the target material purchase quantity.

[0065] Optionally, the unit storage cost, storage space, minimum total storage cost, and minimum storage cost under the current production plan requirement satisfy a second formula, where the second formula is: C S represents the minimum total storage cost, S K represents the minimum storage cost under the current production plan requirements, represents the unit storage cost of the i-th material, Represents the storage space for the i-th material.

[0066] Optionally, the optimization module includes: a processing unit for processing the target material procurement ratio and the target material procurement quantity through a predetermined algorithm to optimize the procurement strategy and obtain a target procurement strategy, wherein the predetermined algorithm is a genetic algorithm.

[0067] Example 3

[0068] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, which 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 procurement strategy optimization methods.

[0069] Example 4

[0070] According to another aspect of an embodiment of the present invention, a processor is provided, which is configured to run a computer program. When the computer program is run, the computer program executes any one of the above-mentioned methods for optimizing procurement strategies.

[0071] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0072] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0073] 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 exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as 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.

[0074] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0075] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0076] 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, 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. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or 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, etc. Various media that can store program codes.

[0077] 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 principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for optimizing a procurement strategy, characterized in that: include: Adjusting the original material procurement ratio using the material procurement prices corresponding to the various material procurement methods to obtain a target material procurement ratio, wherein the original material procurement ratio is the proportion of the quantities of materials purchased through the various material procurement methods; Use the material storage cost to adjust the original material purchase quantity to obtain the target material purchase quantity; Optimizing the procurement strategy using the target material procurement ratio and the target material procurement quantity to obtain a target procurement strategy; The method further includes dynamically adjusting the raw material purchase ratio using a first formula to obtain multiple material purchase prices for the raw material purchase quantity, wherein the first formula is: P M Indicates the material purchase price, x i represents the purchase quantity of the i-th material at the first location, C i represents the purchase price of the i-th material at the first location, y i represents the purchase quantity of the i-th material at the second location, C bi represents the purchase price of the i-th material at the second location, where i represents the type of material and is a positive integer; The method of adjusting the original material purchase quantity using the material storage cost to obtain the target material purchase quantity includes: obtaining the unit storage cost of the material and the storage space required for the material; obtaining the minimum total storage cost and the minimum storage cost under the current production plan requirements; and adjusting the original material purchase quantity based on the unit storage cost, the storage space, the minimum total storage cost, and the minimum storage cost under the current production plan requirements to obtain the target material purchase quantity. Among them, the use of the target material procurement ratio and the target material procurement quantity to optimize the procurement strategy to obtain the target procurement strategy includes: processing the target material procurement ratio and the target material procurement quantity through a predetermined algorithm to optimize the procurement strategy to obtain the target procurement strategy, and the predetermined algorithm is a genetic algorithm.

2. The method according to claim 1, characterized in that The method of adjusting the original material procurement ratio by using the material procurement prices corresponding to the various material procurement methods to obtain the target material procurement ratio includes: Obtain the material purchase prices corresponding to the multiple material purchase methods; The original material purchase ratio is adjusted using the original material purchase quantity and the material purchase price to obtain the target material purchase ratio.

3. The method according to claim 2, characterized in that The method of adjusting the original material purchase ratio by using the original material purchase quantity and the material purchase price to obtain the target material purchase ratio includes: Dynamically adjusting the original material purchase ratio according to the original material purchase quantity and the material purchase price to obtain multiple material purchase prices for the original material purchase quantity; Determine the material procurement ratio corresponding to the minimum material procurement price among the multiple material procurement prices as the target material procurement ratio.

4. The method according to claim 1, wherein The unit storage cost, the storage space, the minimum total storage cost, and the minimum storage cost under the current production plan requirement satisfy a second formula, wherein the second formula is: C S Denotes the minimum total storage cost, S K represents the minimum storage cost under the current production plan requirements, represents the unit storage cost of the i-th material, Represents the storage space of the i-th material.

5. A device for optimizing a purchasing strategy, characterized in that: include: A first adjustment module is configured to adjust an original material procurement ratio using material procurement prices corresponding to the various material procurement methods to obtain a target material procurement ratio, wherein the original material procurement ratio is a ratio of the quantities of materials purchased through the various material procurement methods; The second adjustment module is used to adjust the original material purchase quantity using the material storage cost to obtain the target material purchase quantity; An optimization module, configured to optimize the procurement strategy using the target material procurement ratio and the target material procurement quantity to obtain a target procurement strategy; The device is further configured to dynamically adjust the original material purchase ratio using a first formula to obtain multiple material purchase prices for the original material purchase quantity, wherein the first formula is: P M Indicates the material purchase price, x i represents the purchase quantity of the i-th material at the first location, C i represents the purchase price of the i-th material at the first location, y i represents the purchase quantity of the i-th material at the second location, C bi represents the purchase price of the i-th material at the second location, where i represents the type of material and is a positive integer; The second adjustment module includes: a second acquisition unit for acquiring a unit storage cost of a material and a storage space required for the material; a third acquisition unit for acquiring a minimum total storage cost and a minimum storage cost under the current production plan requirements; and a second adjustment unit for adjusting the original material purchase quantity based on the unit storage cost, the storage space, the minimum total storage cost, and the minimum storage cost under the current production plan requirements to obtain the target material purchase quantity. The optimization module includes: a processing unit for processing the target material procurement ratio and the target material procurement quantity through a predetermined algorithm to optimize the procurement strategy and obtain the target procurement strategy, and the predetermined algorithm is a genetic algorithm.

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 procurement strategy optimization method according to any one of claims 1 to 4.

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

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