Process automation implementation method and device for material requirement planning, and medium

Abstract

The present application relates to the field of manufacturing process management, and discloses a process automation implementation method and device for material requirement planning, and a medium. The method comprises: determining specified materials corresponding to dual-source supply in a material requirement plan, and acquiring influence factors corresponding to the dual-source supply; constructing a dual-source supply strategy library on the basis of the influence factors, each supply strategy adopting at least one strategy dimension; for each supply strategy, defining a calculation rule corresponding to the supply strategy; and on the basis of the defined calculation rules, automatically acquiring the supply quantities of the specified materials respectively corresponding to the dual-source supply. For each specified material, a corresponding supply strategy is formulated, and a corresponding calculation rule is configured for the supply strategy, so that the material does not require human involvement during the process implementation, reducing labor costs and eliminating the possibility of human errors.

Description

Process automation implementation methods, equipment and media for material requirement planning

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on February 8, 2024, with application number 202410175651.8 and invention name “Process Automation Implementation Method, Equipment and Medium for Material Requirement Planning”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of manufacturing process management, and specifically to a method, device and medium for realizing process automation for material requirement planning. Background Art

[0003] For manufacturing companies, Material Requirement Planning (MRP) is one of the core functions of Enterprise Resource Planning (ERP). It is based on the master production plan and is connected to the production plan and procurement plan, following certain logical and algorithmic rules.

[0004] In traditional solutions, when manufacturing complex industrial products, manufacturing companies often consider factors such as production capacity, economy, and supplier cultivation, and adopt a dual-source supply strategy for some parts, that is, some parts are supplied internally and other parts are supplied externally.

[0005] For parts supplied from dual sources, a four-round method is generally adopted: MRP pre-calculation, manual dual-source supply plan formulation, system introduction of the plan, and formal MRP calculation. However, this method still has corresponding problems: On the one hand, the Bill of Materials (BOM) involves a large number of materials and is complex, and manual participation is labor-intensive and difficult to avoid errors. On the other hand, multiple rounds of calculations make it difficult to achieve process automation, affecting work efficiency.

[0006] Summary of the Invention

[0007] To solve the above problems, this application proposes a process automation implementation method for material requirement planning, including:

[0008] Determine the designated material corresponding to the dual-source supply in the material requirement plan, and obtain the influencing factors corresponding to the dual-source supply. The dual-source supply includes internal supply and external supply. The influencing factors include: internal production capacity information, internal supply price, external supply price, and external supply strategy;

[0009] Based on the influencing factors, a dual-source supply strategy library is constructed, wherein the dual-source supply strategy library includes multiple supply strategies, each of the supply strategies corresponds to at least one specified material, each of the supply strategies adopts at least one strategy dimension, the strategy dimension includes multiple basic dimensions and custom dimensions, and each basic dimension is associated with at least one of the influencing factors;

[0010] For each of the supply strategies, a calculation rule corresponding to the supply strategy is defined by deducting the supply from a single source in the dual-source supply to obtain the supply from another source;

[0011] Based on the defined operation rules, the designated materials are operated in a step-by-step expansion manner to automatically obtain the supply quantities of the designated materials corresponding to the dual-source supply.

[0012] On the other hand, the present application also proposes a process automation implementation device for material requirement planning, including:

[0013] at least one processor; and,

[0014] a memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the process automation implementation method for material requirement planning as described in the above example.

[0016] On the other hand, the present application also proposes a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as: the process automation implementation method for material requirement planning described in the above example.

[0017] The process automation implementation method for material requirement planning proposed in this application can bring the following Beneficial effects:

[0018] For each designated material, a corresponding supply strategy is formulated and corresponding operation rules are configured for the supply strategy, so that the material does not require human participation during the process implementation, which not only reduces labor costs but also eliminates the occurrence of human errors.

[0019] Materials are calculated through the established dual-source supply strategy library and the calculation rules defined therein. The entire process is fully automated, which increases work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0021] FIG1 is a flow chart of a method for automating the process of material requirement planning in an embodiment of the present application;

[0022] FIG2 is a schematic diagram of a method for implementing process automation for material requirement planning in one scenario according to an embodiment of the present application;

[0023] FIG3 is a schematic diagram of a device for automating the process of material requirement planning in an embodiment of the present application. DETAILED DESCRIPTION

[0024] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the specific embodiments of this application and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0025] The following describes in detail the technical solutions provided by various embodiments of the present application in conjunction with the accompanying drawings.

[0026] As shown in FIG1 , the embodiment of the present application provides a method for automating the process of material requirement planning, including:

[0027] S101: Determine a designated material corresponding to dual-source supply in a material requirement plan, and obtain an influencing factor corresponding to the dual-source supply. The dual-source supply includes internal supply and external supply. The influencing factors include: internal production capacity information, internal supply price, external supply price, and external supply strategy.

[0028] FIG2 is a schematic diagram of a method for implementing a process automation for material requirement planning in one embodiment of the present application. The present embodiment is explained below as shown in FIG1 and FIG2. The method for implementing a process automation for material requirement planning in the embodiment of the present application can be implemented based on a corresponding system. Hereinafter, unless otherwise specified, the system defaults to a system for implementing a process automation for material requirement planning.

[0029] Influencing factors, also known as influencing factors, have fixed types for different materials, but their specific content may vary. Internal capacity information refers to the company's internal capacity for a specific material and can be obtained through the company's production department. Internal supply prices and external supply prices, also known as self-made prices and purchase prices, can be based on information provided by the company's finance department and external suppliers. External supply strategies primarily refer to the capacity that external suppliers can provide, and can be based on information provided by external suppliers.

[0030] S102: Based on the influencing factors, a dual-source supply strategy library is constructed, wherein the dual-source supply strategy library includes multiple supply strategies, each of the supply strategies corresponds to at least one specified material, and each of the supply strategies adopts at least one strategy dimension, wherein the strategy dimension includes multiple basic dimensions and custom dimensions, and each basic dimension is associated with at least one of the influencing factors.

[0031] Generally speaking, each supply strategy corresponds to a specified material. However, when multiple materials require the same supply strategy, one supply strategy can also correspond to multiple specified materials.

[0032] Each supply strategy typically uses a single strategy dimension to calculate the supply quantity for a specific material. Multiple strategy dimensions can also be used to address different situations. For example, different strategy dimensions can be used for different time periods or for different quantity requirements.

[0033] Among them, the basic dimensions include: proportion, internal minimum capacity, internal economic capacity, internal maximum capacity, and external maximum capacity.

[0034] Furthermore, the proportion dimension corresponds to the allocation in a proportion manner when the dual-source supply of materials is relatively stable, which can be determined based on the internal production capacity information and the supply quantity in the external supply strategy exceeding the first preset quantity.

[0035] The internal minimum capacity dimension corresponds to the use of internal minimum capacity in order not to lose the production capacity and retain strategic capabilities. It can be determined based on the internal supply quantity (also known as the self-made quantity) in the internal capacity information being lower than the second preset quantity (the second preset quantity is lower than the first preset quantity).

[0036] The internal economic capacity dimension corresponds to when the demand is large and always exceeds the capacity, taking into account the self-production and procurement costs, and formulating the capacity when the self-production cost is the lowest. This is the internal economic capacity, which can be determined based on the internal supply quantity in the internal capacity information being lower than the net material demand (which can be the historical average net material demand for the specified material), and the internal supply price changes with the change of the internal supply quantity.

[0037] The internal maximum capacity dimension corresponds to low self-production costs and procurement when capacity is insufficient, aiming to maximize capacity. It can be determined based on the internal supply quantity in the internal capacity information being lower than the net material demand, and the internal supply price being lower than the external supply price.

[0038] The dimension of supplier's maximum production capacity corresponds to the goal of cultivating strategic suppliers or cooperative factories as quickly as possible, giving suppliers the opportunity to exert their maximum production capacity, and exercising self-production when suppliers' capacity is insufficient. It can be determined based on the external supply strategy that the cooperation priority of external suppliers is higher than the preset level.

[0039] Custom dimensions support MRP users to dynamically expand or change strategies based on changes in usage scenarios. These may include: fixed quantity and external minimum risk, which correspond to using a fixed internal supply quantity, or, based on the evaluation of external suppliers, only selecting the external supply quantity (also known as the purchase quantity) provided by the supplier with the lowest supply risk.

[0040] S103: For each of the supply strategies, define an operation rule corresponding to the supply strategy by deducting the supply from a single source in the dual-source supply to obtain the supply from another source.

[0041] Deduction means first obtaining the supply from a single source among the internal supply quantity and external supply quantity, and then deducting it from the total amount (that is, the net material demand of the specified material) to obtain the corresponding quantity of the supply from the other source.

[0042] Specifically, for each supply strategy, the strategy dimension adopted by the supply strategy is determined.

[0043] If the strategy dimension is a proportion dimension, define an operation rule to obtain the internal supply quantity in proportion based on the net material demand, and then deduct the internal supply quantity from the net material demand to obtain the external supply quantity.

[0044] If the strategic dimension is the internal minimum capacity dimension, the internal economic capacity dimension, or the internal maximum capacity dimension, define the calculation rules to determine the corresponding internal supply quantity, and deduct the internal supply quantity based on the net material demand to obtain the external supply quantity.

[0045] If the strategy dimension is external maximum capacity, define the calculation rules to determine the corresponding external supply quantity, and deduct the external supply quantity based on the net material demand to obtain the internal supply quantity.

[0046] After defining the supply strategy and operation rules, the supply strategy is placed in the dual-source supply strategy library on the back end of the system. When the supply quantity of the specified material is calculated in the future, the corresponding supply strategy can be automatically retrieved based on the ID of the specified material after the user enters the net material demand, and the operation rules therein are used to calculate the corresponding supply quantity.

[0047] Of course, at this time, the supply strategy and operation rules can also be maintained on the system backend, and the maintenance content may include adding, deleting, modifying and checking them.

[0048] S104: Based on the defined operation rules, the designated materials are operated in a step-by-step expansion manner to automatically obtain the supply quantities of the designated materials corresponding to the dual-source supply.

[0049] The step-by-step expansion method refers to performing calculations step by step according to the calculation process in the operation rules. This calculation process can be automated based on Robotic Process Automation (RPA).

[0050] Specifically, the net material demand of the specified material is obtained, and based on the strategy dimension corresponding to the operation rule, at least one round of operation is performed to obtain the external supply quantity and the internal supply quantity.

[0051] If the strategy dimension corresponding to the operation rule is the proportional dimension, two rounds of operations are performed based on the operation rule. In the first round of operations, the internal supply quantity is obtained based on the operation result, and then in the second round of operations, the external supply quantity is obtained by deduction.

[0052] For other strategic dimensions, since the internal supply quantity or external supply quantity has been determined, only one round of calculation is required.

[0053] For example, if the proportion dimension is set to 20%, based on the net material demand of 101, the self-made quantity is calculated according to the proportion (20.2, which can be rounded up to 21 or rounded down to 20), and the external supply quantity is deducted as 80 or 81.

[0054] For the internal minimum capacity dimension, set it to 10. Based on the net material demand of 101, the external supply quantity is deducted to obtain 91.

[0055] For the internal economic capacity dimension, it is set to 40. Based on the net material demand of 101, the external supply quantity is deducted to 61.

[0056] For the internal maximum capacity dimension, it is set to 80 or 200. When the maximum capacity of 80 is lower than or equal to the net demand of 101, the external supply quantity is 21 after deduction. When the maximum capacity of 200 is higher than the net demand of 101, all demands are supplied internally, the internal supply quantity is 101, and the external supply quantity is 0.

[0057] For the external maximum capacity dimension, set it to 200 or 70. When the external maximum capacity 200 is greater than or equal to the net demand 101, all demands are supplied externally, and the external supply quantity is 101. When the external maximum capacity 70 is less than the net demand 101, the external supply quantity is 70 and the internal supply quantity is 31.

[0058] For the custom dimension, set the custom purchase quantity to a fixed quantity of 55. Based on the net material requirement of 101, deduct the external supply quantity of 56.

[0059] For each designated material, a corresponding supply strategy is formulated and corresponding operation rules are configured for the supply strategy, so that the material does not require human participation during the process implementation, which not only reduces labor costs but also eliminates the occurrence of human errors.

[0060] Materials are calculated through the established dual-source supply strategy library and the calculation rules defined therein. The entire process is fully automated, which increases work efficiency.

[0061] Furthermore, when calculating ratios, decimals may occur, requiring rounding. This is often done using a fixed rounding scheme, such as rounding to the nearest integer. However, for certain high-value materials, the production of a single material can have significant economic impacts.

[0062] Based on this, if the internal or external supply price of a specified material is determined to be higher than the preset price, the specified material is considered valuable. At this point, the historical calculation records for the specified material and the current calculation records for other materials can be obtained. Of course, the internal or external supply prices of other materials must also be higher than the preset price. Based on this, the rounding method can be considered based on both the current enterprise situation and the historical status of the material.

[0063] In the historical calculation records and the current calculation records, the first selection ratio and the second selection ratio of each strategy dimension are obtained respectively, and based on the preset weights corresponding to the historical calculation records and the current calculation records respectively (for example, the weights are set to 5:5 or 4:6, etc.), the first selection ratio and the second selection ratio are weighted and summed to obtain the comprehensive selection ratio corresponding to each strategy dimension.

[0064] At this point, based on the comprehensive selection ratio, we determine the first sum of the ratios corresponding to the internal minimum capacity dimension and the external maximum capacity dimension, and the second sum of the ratios corresponding to the internal economic capacity dimension and the internal maximum capacity dimension. The first sum of the ratios primarily corresponds to situations with low internal capacity, while the second sum of the ratios primarily corresponds to situations with high internal capacity.

[0065] If the sum of the first ratio is higher than the sum of the second ratio, it means that the internal production capacity corresponding to the specified material is low. At this time, the internal supply quantity is obtained based on the calculation result and is rounded down, so that the internal supply quantity is reduced by one; otherwise, the internal supply quantity is obtained based on the calculation result and is rounded up, so that the internal supply quantity is increased by one.

[0066] In one embodiment, after generating a supply policy and policy dimensions in the dual-source supply policy library, you can also set the corresponding effective period. In this case, the effective period of the supply policy associated with the operation rule is set based on the user's settings. If the user does not set a setting, the effective period is set to the default period, which is indefinite.

[0067] Furthermore, after the effective period has been set, the system can continue to obtain the impact factor corresponding to the specified material.

[0068] If the change in any of the impact factors exceeds the preset range, it means that the current supply policy for the specified material may no longer be applicable. In this case, the supply policy corresponding to the specified material is obtained and its corresponding remaining effective period is determined.

[0069] If the remaining effective period is low, the cost of changing the policy may be greater than the cost of continuing the policy, so no change is made. If the remaining effective period is longer than the preset duration, the user is asked whether to modify the supply policy based on the magnitude of the change. For example, if the impact factor changes by more than a preset amount, the user may be prompted to decide whether to modify the supply policy for a specific material.

[0070] In one embodiment, sometimes, the user may need to temporarily modify the supply strategy due to objective conditions or subjective needs. At this time, the user modifies the supply requirements through the front-end modification interface.

[0071] When the supply policy is in effect, the supply policy is modified based on the user's settings to generate a new temporary policy without overwriting the supply policy. At this time, the original supply policy is not deleted.

[0072] Set the validity period corresponding to the temporary policy. Modifications include: modification of the policy dimension (for example, changing from the ratio dimension to the internal economic capacity dimension) and modification of the calculation rules (for example, changing the specific ratio value in the ratio).

[0073] At this time, when the temporary policy is in effect, the execution priority of the temporary policy is higher than the supply policy, and the specified materials are calculated according to the calculation rules in the temporary policy.

[0074] When the validity period of the temporary policy has expired, the temporary policy will be deleted and the supply policy will continue to be executed, and calculations will still be performed according to the original supply policy.

[0075] Furthermore, after the user issues a setting instruction on the front end, the front end modifies the provisioning policy based on the setting instruction and generates a corresponding temporary policy, for example, generating a corresponding front end configuration file or saving it locally on the front end.

[0076] Upload the temporary policy to the backend and establish a correspondence between the temporary policy and the supply policy in the backend. This correspondence is used to describe the relationship between the temporary policy of the frontend and the supply policy of the backend, and set the corresponding validity period for the correspondence, which is the same as the validity period of the temporary policy.

[0077] When a temporary policy expires, it is deleted on the frontend. The backend retains the temporary policy and its corresponding relationship. Based on the corresponding relationship, the temporary policies corresponding to the supply policy are collected, and the modification location and content of each temporary policy are obtained. The modification location refers to changes to policy dimensions, calculation rules, or other content, while the modification content refers to how the modification location was modified, for example, the original scale dimension was changed to which dimension.

[0078] At this time, based on the frequency of occurrence of all modification locations and all modification contents, a modification template corresponding to the supply strategy is generated. In the modification template, the modification locations and modification contents with the highest frequency are selected, and the modification template is sent to the front end. When the user modifies the supply strategy again, the modification template is displayed to remind the user of the previous modification locations and modification contents, and it is also convenient for the user to quickly make new modifications based on the modification template.

[0079] As shown in FIG3 , the embodiment of the present application further proposes a process automation implementation device for material requirement planning, including:

[0080] at least one processor; and,

[0081] a memory communicatively connected to the at least one processor; wherein,

[0082] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the process automation implementation method for material requirement planning as described in any of the above embodiments.

[0083] The embodiment of the present application further proposes a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as: a process automation implementation method for material requirement planning as described in any of the above embodiments.

[0084] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device and medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, refer to the descriptions of the method embodiments.

[0085] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0086] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0087] The present application is described with reference to the flow chart and / or block diagram of the method, device (system), and computer program product according to the embodiment of the present application. It should be understood that each flow process and / or box in the flow chart and / or block diagram and the combination of the flow process and / or box in the flow chart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processing machine or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one flow chart flow or multiple flows and / or one box or multiple boxes of the block diagram.

[0088] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0090] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0091] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0092] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0093] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0094] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A process automation implementation method for material requirement planning, wherein: include: Determine the designated material corresponding to the dual-source supply in the material requirement plan, and obtain the influencing factors corresponding to the dual-source supply. The dual-source supply includes internal supply and external supply. The influencing factors include: internal production capacity information, internal supply price, external supply price, and external supply strategy; Based on the influencing factors, a dual-source supply strategy library is constructed, wherein the dual-source supply strategy library includes multiple supply strategies, each of the supply strategies corresponds to at least one specified material, each of the supply strategies adopts at least one strategy dimension, the strategy dimension includes multiple basic dimensions and custom dimensions, and each basic dimension is associated with at least one of the influencing factors; For each of the supply strategies, a calculation rule corresponding to the supply strategy is defined by deducting the supply from a single source in the dual-source supply to obtain the supply from another source; Based on the defined operation rules, the designated material is operated in a step-by-step expansion manner to automatically obtain the corresponding supply quantities of the designated material in the dual-source supply; The basic dimensions include: ratio, internal minimum capacity, internal economic capacity, internal maximum capacity, external maximum capacity; the custom dimensions include: fixed quantity, external minimum risk; Each of the provisioning strategies adopts at least one strategy dimension, specifically including: If the internal production capacity information and the supply quantity in the external supply strategy both exceed the first preset quantity, the proportional dimension is adopted; If the internal supply quantity in the internal production capacity information is lower than the second preset quantity, the internal minimum production capacity dimension is adopted; If the internal supply quantity in the internal capacity information is lower than the net material demand, and the internal supply price changes with the change of the internal supply quantity, the internal economic capacity dimension is used; If the internal supply quantity in the internal capacity information is lower than the net material demand, and the internal supply price is lower than the external supply price, the internal maximum capacity dimension is used; If the cooperation priority of the external supplier in the external supply strategy is higher than the preset level, the external maximum production capacity is adopted; For each supply strategy, by deducting the supply from a single source in the dual-source supply to obtain the supply from another source, an operation rule corresponding to the supply strategy is defined, specifically including: For each of the supply strategies, determining a strategy dimension adopted by the supply strategy; If the strategic dimension is the ratio dimension, a calculation rule is defined to obtain the internal supply quantity according to the ratio dimension based on the net material demand, and to obtain the external supply quantity by deducting the internal supply quantity from the net material demand; If the strategic dimension is the internal minimum capacity dimension, the internal economic capacity dimension, or the internal maximum capacity dimension, then define an operation rule to determine the corresponding internal supply quantity, and deduct the internal supply quantity based on the net material demand to obtain the external supply quantity; If the strategic dimension is the external maximum capacity dimension, then define an operation rule to determine the corresponding external supply quantity, and deduct the external supply quantity based on the net material demand to obtain the internal supply quantity; After defining the operation rules corresponding to the supply strategy, the method further includes: Based on the user's settings, the effective period of the supply policy to which the operation rule belongs is set; wherein, if the user does not set it, the effective period is set to a default period, and the default period is indefinite; Continuously obtain the impact factor corresponding to the specified material; If the change range of the impact factor exceeds the preset range, the supply strategy corresponding to the specified material is obtained and the corresponding remaining effective period is determined; If the remaining effective period is longer than a preset time, the user is asked whether to modify the provisioning policy based on the magnitude of the change; The method further comprises: When the provisioning policy is in the effective period, based on the user's settings, the provisioning policy is modified to generate a new temporary policy without overwriting the provisioning policy, and the effective period corresponding to the temporary policy is set, wherein the modification includes: modification of policy dimensions and modification of operation rules; When the temporary policy is in the effective period, the execution priority of the temporary policy is higher than that of the supply policy; When the validity period corresponding to the temporary policy has expired, the temporary policy is deleted and the supply policy is continued to be executed; Based on the user's settings, the provisioning policy is modified to Under this premise, a new temporary strategy is generated, including: Receive a setting instruction issued by the user at the front end, and based on the setting instruction, modify the provisioning policy at the front end to generate a corresponding temporary policy; Uploading the temporary policy to the backend, establishing a correspondence between the temporary policy and the supply policy in the backend, and setting a corresponding validity period for the correspondence; After the temporary policy is deleted in the front end, the temporary policy and the corresponding relationship are continued to be retained in the back end; Based on the corresponding relationship, all temporary policies corresponding to the provisioning policy are collected, and a modification position and modification content for the provisioning policy in each temporary policy are obtained; Based on all modification positions and the occurrence frequency of all modification contents, a modification template corresponding to the supply strategy is generated, and the modification template is sent to the front end so that the modification template can be displayed when the user modifies the supply strategy again.

2. The method according to claim 1, wherein Based on the defined operation rules, the specified material is operated by a step-by-step expansion method, specifically including: Obtaining the net material requirement of the specified material; Based on the strategy dimension corresponding to the operation rule, perform at least one round of operation to obtain the external supply quantity and the internal supply quantity; If the strategy dimension corresponding to the operation rule is a proportional dimension, two rounds of operation are performed based on the operation rule, and in the first round of operation, the internal supply quantity is obtained based on the rounded result of the operation.

3. The method according to claim 2, wherein: The internal supply quantity is obtained by rounding the calculation result, including: If it is determined that the internal supply price or the external supply price of the designated material is higher than the preset price, obtaining historical operation records of the designated material and current operation records of other materials, the internal supply price or the external supply price of the other materials being higher than the preset price; Obtaining a first selection ratio and a second selection ratio of each strategy dimension from the historical operation record and the current operation record, respectively; Based on the preset weights corresponding to the historical operation records and the current operation records, respectively, the first selection ratio and the second selection ratio are weighted summed to obtain a comprehensive selection ratio corresponding to each strategy dimension; Based on the comprehensive selection ratio, determining a first sum of the ratios corresponding to the internal minimum capacity dimension and the external maximum capacity dimension, and a second sum of the ratios corresponding to the internal economic capacity dimension and the internal maximum capacity dimension; If the sum of the first proportions is higher than the sum of the second proportions, the internal supply quantity is obtained by rounding down the calculation result; otherwise, the internal supply quantity is obtained by rounding up the calculation result.

4. A process automation implementation device for material requirement planning, wherein: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the process automation implementation method for material requirement planning as described in any one of claims 1 to 3.

5. A non-volatile computer storage medium storing computer-executable instructions, wherein: The computer executable instructions are configured as: a process automation implementation method for material requirement planning as described in any one of claims 1 to 3.

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