Part management method based on production plan, computing equipment and storage medium

Abstract

The invention discloses a part management method based on a production plan. The method comprises the steps of obtaining an order production plan; obtaining part demand information of each station according to the order production plan; generating a part demand task of each station according to the number of the set parts of each station and the part demand information of each station; the part demand task is used for sorting and assembling parts. According to the part management method based on the production plan, the computing device and the storage medium provided by the invention, the sorting robot can sort and assemble the parts in advance based on the part demand task of each station before the order production plan is executed, so that the material waiting time of an automatic production line is shortened, the production efficiency of the automatic production line is improved, and the production cost is reduced. And the waste of materials is reduced.

Description

Technical Field

[0001] The present application relates to the field of automated assembly technology, and in particular to a parts management method, computing device, and storage medium based on production planning. Background Art

[0002] In modern manufacturing, the application of automated assembly technology has significantly improved production efficiency. Among them, automatic bolt tightening is widely used in the assembly process of products as a key process. Automatic tightening stations usually need to be equipped with automated equipment (such as tightening robots) to complete high-precision and high-efficiency assembly tasks. In this process, the picking and assembly of bolts is crucial. Bolts not only need to be picked, oiled and assembled with gaskets in advance, but also need to be placed in specific containers as required to facilitate visual recognition and automatic grasping operations by tightening robots.

[0003] However, the existing bolt picking scheme has the following two main problems: one is that the picking task is often generated by the master control system only after the workpiece actually flows to the automatic tightening station. This delayed task issuance method leads to untimely bolt picking, which in turn causes the problem of material shortage and waiting at the station, reducing overall production efficiency. Another is that bolt picking tasks are usually performed in full pallets. However, the number of bolts in a full pallet often exceeds the actual demand, and bolts that have not been used for a long time after oiling are easily unable to be reused due to oil film volatilization or contamination, resulting in material waste. The existing bolt picking scheme has seriously affected production efficiency and resource utilization. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a parts management method and device based on production plan, a computing device and a storage medium, which can pick corresponding parts in advance according to the needs of the order production plan, reduce the material waiting time of the automated production line, improve the production efficiency of the automated production line, and reduce material waste. The present invention provides a parts management method based on production planning, the method comprising: obtaining an order production plan; obtaining parts demand information of each workstation according to the order production plan; generating parts demand tasks of each workstation according to the number of sets of parts set at each workstation and the parts demand information of each workstation; the parts demand tasks are used to pick and assemble parts.

[0005] In one embodiment, obtaining the parts demand information of each workstation according to the order production plan includes: obtaining the parts demand quantity of each production order at each workstation according to the order production plan; and obtaining the parts demand information of each workstation based on the parts demand quantity of each production order at each workstation.

[0006] In one embodiment, the number of sets of parts set at each workstation includes the number of sets of parts for parts with different material numbers when each workstation produces different equipment; generating the parts demand task of each workstation based on the number of sets of parts set at each workstation and the parts demand information of each workstation includes: based on the number of sets of parts set at each workstation, splitting the parts demand information of each workstation into single or multiple sets to obtain the parts demand task of each workstation.

[0007] In one embodiment, after the parts demand information of each workstation is split into single or multiple sets based on the number of sets of parts set at each workstation, it includes: if there is part demand information of incomplete sets in the part demand information of each workstation, then the material number corresponding to the part demand information of incomplete sets is obtained; and the part demand information of incomplete sets is merged with the corresponding sets based on the material number.

[0008] In one embodiment, after the parts demand task of each workstation is generated according to the number of sets of parts set at each workstation and the parts demand information of each workstation, it includes: when the current time and the start execution time of the order production plan are less than the preset time, the parts demand task of each workstation is sent to the picking robot, so that the picking robot can pick and assemble parts in advance according to the parts demand task of each workstation before the order production plan is executed.

[0009] In one embodiment, the picking robot picks and assembles parts in advance according to the part demand tasks of each workstation before the order production plan is executed, and then includes: obtaining the physical workpiece and the picked parts corresponding to the part demand tasks of each workstation; and transporting the picked parts to the corresponding workstation according to the passing status of the physical workpiece.

[0010] In one embodiment, the method further includes: identifying the number of parts in the material area of ​​the workstation; when the number of parts is less than a preset number, transporting the corresponding picked parts to the workstation based on the order production information of the workstation and the parts demand tasks of each workstation.

[0011] In one embodiment, the method includes: setting the number of sets of parts at each workstation according to the number of production orders for the same equipment in the order production plan and the parts demand of each equipment's production order at each workstation; or setting the number of sets of parts at each workstation based on the received set setting instructions.

[0012] The present invention also provides a computing device, comprising a processor and a memory storing a computer program, wherein when the processor runs the computer program, the steps of the above-mentioned method for managing parts based on production planning are implemented.

[0013] The present invention also provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the parts management method based on production planning as described above are implemented.

[0014] The parts management method, computing device and storage medium based on production plan provided by the present invention obtain the order production plan, obtain the parts demand information of each workstation according to the order production plan, and generate the parts demand task of each workstation according to the number of sets of parts set at each workstation and the parts demand information of each workstation. The present application enables the picking robot to pick and assemble parts in advance based on the parts demand task of each workstation before the execution of the order production plan, thereby reducing the material waiting time of the automated production line, improving the production efficiency of the automated production line, and reducing the waste of materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The flowchart of the parts management method based on production plan according to one embodiment of the present invention.

[0016] Figure 2 for Figure 1 Flowchart of step S13 in FIG.

[0017] Figure 3 The present invention is a flowchart of a parts management method based on production planning according to another embodiment of the present invention.

[0018] Figure 4 A schematic diagram of the structure of a computing device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The above and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of the preferred embodiments with reference to the drawings. Through the description of the specific implementation methods, the technical means and effects adopted by the present invention to achieve the predetermined purpose can be more deeply and specifically understood. However, the drawings are only for reference and explanation purposes and are not used to limit the present invention.

[0020] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the present invention is described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0021] Figure 1 The flowchart of the parts management method based on production plan according to one embodiment of the present invention.

[0022] like Figure 1 As shown, the parts management method based on production plan provided in this embodiment includes the following steps: Step S11: Obtain order production plan.

[0023] Specifically, the order production plan is obtained in advance through the production scheduling of the order.

[0024] Specifically, in one embodiment, the production plan acquisition time and the production plan acquisition period are obtained, and the order production plan is obtained according to the production plan acquisition time and the production plan acquisition period. For example, when the production plan acquisition time is 17 hours in advance and the production plan acquisition period is from 9:00 on December 20, 2024 to 17:00 on December 20, 2024, then at 16:00 on December 19, 2024, the order production plan from 9:00 on December 20, 2024 to 17:00 on December 20, 2024 is obtained.

[0025] Specifically, the order production plan includes production plans for a single device and / or different devices.

[0026] Step S12: According to the order production plan, obtain the parts demand information of each workstation.

[0027] Specifically, according to the bill of materials table and the order production plan, the parts demand of each production order at each workstation is obtained, and based on the parts demand of each production order at each workstation, the parts demand information of each workstation is obtained. The parts demand of each workstation includes the material number of the parts required by each workstation and its corresponding quantity, and the corresponding quantity includes the quantity corresponding to the production of one device and / or the quantity corresponding to the same device in the production order production plan. For example, when the order production plan is to produce 6 A devices and 5 B devices, the bill of materials shows that when the first station produces 1 1A device, it needs 10 parts with material number A1 and 20 parts with material number A2, and when the first station produces 1 B device, it needs 5 parts with material number B1 and 10 parts with material number B2. According to the bill of materials and the order production plan, the parts demand information for the first station to produce all A equipment orders is A1 parts * 60, A2 parts * 120, and the parts demand information for the first station to produce all B equipment orders is B1 parts * 25, B2 parts * 50.

[0028] In the present application, the component is preferably a bolt. Of course, the component may also be other parts of the production equipment, such as flanges or bearings, etc., standard parts or non-standard parts.

[0029] Step S13: Generate a component demand task for each workstation according to the number of components set at each workstation and the component demand information of each workstation; the component demand task is used to pick and assemble components.

[0030] like Figure 2 As shown, step S13 includes: Step S131: Based on the number of sets of parts set at each workstation, the parts demand information of each workstation is split into single sets or multiple sets.

[0031] Specifically, the number of parts and components set at each station refers to how many parts and components are set for one station when the station produces different equipment, and the parts and components can be parts with different material numbers. For example, when the first station produces one 1A equipment, it needs 10 parts and components with material number A1 and 20 parts and components with material number A2. When the first station produces one B equipment, it needs 5 parts and components with material number B1 and 10 parts and components with material number B2. Then the number of parts and components set for the first station when producing A equipment can be A1 parts*20, A2 parts*40, and the number of parts and components set for the first station when producing B equipment can be B1 parts*10, B2 parts*20.

[0032] Specifically, the present invention further explains step S131 by giving an example. For example, when the order production plan is to produce 6 A devices and 6 B devices, the parts demand information of the first station is A1 parts * 60, A2 parts * 120, B1 parts * 30, B2 parts * 60, and the number of sets of parts in the first station is A1 parts * 20, A2 parts * 40, B1 parts * 10, B2 parts * 20, then based on the number of sets of parts set in the first station, the parts demand information of the first station is split into 6 sets, the first set of the first station is A1 parts * 20, A2 parts * 40, the second set is A1 parts * 20, A2 parts * 40 0, the third set is A1 parts * 20, A2 parts * 40, the fourth set is B1 parts * 10, B2 parts * 20, the fifth set is B1 parts * 10, B2 parts * 20, and the sixth set is B1 parts * 10, B2 parts * 20; when the order production plan is to produce 2 A equipment, the parts demand information of the first station is A1 parts * 20, A2 parts * 40, and the set parts quantity of the first station is A1 parts * 20, A2 parts * 40, then the parts demand information of the first station is split into 1 set based on the set parts quantity set in the first station, and the first set of the first station is A1 parts * 20, A2 parts * 40.

[0033] Step S132: Determine whether there is any incomplete set of component demand information in the component demand information of each workstation.

[0034] Specifically, the present invention further explains step S132 by giving an example. For example, when the order production plan is to produce 6 A devices and 5 B devices, the parts demand information of the first station is A1 parts * 60, A2 parts * 120, B1 parts * 25, B2 parts * 50, and the number of sets of parts in the first station is A1 parts * 20, A2 parts * 40, B1 parts * 10, B2 parts * 20, then based on the number of sets of parts set in the first station, the parts demand information of the first station is split into 5 sets, and the first station The first set is A1 parts * 20, A2 parts * 40, the second set is A1 parts * 20, A2 parts * 40, the third set is A1 parts * 20, A2 parts * 40, the fourth set is B1 parts * 10, B2 parts * 20, the fifth set is B1 parts * 10, B2 parts * 20, and there are 5 B1 parts and 10 B2 parts in the parts demand information of the first station. Because it is not a full set, it has not been split. The remaining 5 B1 parts and 10 B2 parts are the parts demand information for incomplete sets.

[0035] Specifically, when there is incomplete set of parts demand information in the parts demand information of each workstation, go to step S133: obtain the material number corresponding to the incomplete set of parts demand information, and merge the incomplete set of parts demand information with the corresponding set based on the material number; when there is no incomplete set of parts demand information in the parts demand information of each workstation, go to step S134: obtain the parts demand task of each workstation based on the sets split from each workstation.

[0036] Specifically, step S133 includes obtaining the corresponding material number according to the parts demand information of the incomplete sets, obtaining the sets that have been split based on the material number, and merging the parts demand information of the incomplete sets with the split sets into one set. For example, when the order production plan is to produce 6 A devices and 5 B devices, the parts demand information of the first station is A1 parts * 60, A2 parts * 120, B1 parts * 25, B2 parts * 50, and the set parts quantity of the first station is A1 parts * 20, A2 parts * 40, B1 parts * 10, B2 parts * 20, then based on the set parts quantity set in the first station, the parts demand information of the first station is split into 5 sets, and the first set of the first station is A1 parts*20, A2 parts*40, the second set is A1 parts*20, A2 parts*40, the third set is A1 parts*20, A2 parts*40, the fourth set is B1 parts*10, B2 parts*20, the fifth set is B1 parts*10, B2 parts*20, then the 5 B1 parts and 10 B2 parts that are not full sets are merged with the fifth set of the corresponding material number, so that the fifth set becomes B1 parts*15, B2 parts*30.

[0037] Specifically, the process before step S13 includes receiving a set setting instruction input by a user, and setting the number of set components of each workstation based on the input set setting instruction.

[0038] Specifically, in one embodiment, before step S13, it also includes setting the number of parts per station according to the number of production orders for the same equipment in the order production plan and the parts demand of the production order of each equipment at each station. For example, when the parts demand of a device A at the first station is A1 parts*10 and A2 parts*20, if 6 devices A are to be produced in the order production plan, then according to the parts demand of the device A*2, the number of parts per station when producing the device A at the first station is set to A1 parts*20 and A2 parts*40. If only one device A is to be produced in the order production plan, the number of parts per station when producing the device A at the first station is set to A1 parts*10 and A2 parts*20.

[0039] This application generates the corresponding picking quantity for each workstation strictly according to the requirements of the order production plan, reducing material waste during production.

[0040] Specifically, step S134: based on the sets split from each station, the parts demand task of each station is obtained, and then includes, when the current time and the start execution time of the order production plan are less than the preset time, the parts demand task of each station is sent to the picking robot, so that the picking robot can perform parts picking, assembly, oiling, palletizing and other operations in advance according to the parts demand task of each station before the order production plan is executed. The preset time can be set according to the characteristics of the oil applied to avoid the failure or performance degradation of the oil applied to the parts. When picking, the picking robot picks and matches the pallets according to the sets split from the parts demand task. For example, the first set of parts of the first station is picked into a pallet, and the second set of parts of the first station is picked into a pallet. Adjusting the picking quantity or parts demand tasks according to the number of sets of parts set up at each workstation can make parts picking more flexible. This method is not only suitable for picking small batches and large quantities during the production of single-machine equipment, but also can flexibly adjust the picking tasks according to demand when the production equipment models are frequently switched, to achieve efficient operation of large batches and small quantities, and reduce time and material waste when switching production equipment models.

[0041] like Figure 3 As shown, step S13 includes: Step S14: obtaining the physical workpiece and the picked parts corresponding to the parts demand task of each workstation, and transporting the picked parts to the corresponding workstation according to the passing status of the physical workpiece.

[0042] Specifically, since the parts are picked and matched according to the parts demand tasks of each workstation, the corresponding set of each picked part can be obtained according to the parts demand tasks of each workstation; according to the parts demand tasks of each workstation, the set of picked parts corresponding to each physical workpiece is obtained, and the corresponding picked parts are delivered to the corresponding workstation in advance according to the passing status of the physical workpiece in the workshop. For example, if it takes 5 minutes to deliver the picked parts to the corresponding workstation, the picked parts will be delivered to the corresponding workstation when the physical workpiece has 10 minutes to arrive at the corresponding workstation. Before the production workpiece arrives at the workstation, the parts are called in advance, and the picked parts are directly delivered to the line-side workstation, which can make the parts delivery more timely to avoid the delivery link becoming a bottleneck in automated assembly.

[0043] Specifically, in one embodiment, the number of parts in the tray on the material area of ​​the workstation is identified. If the number of parts is less than the preset number, the corresponding next set of picked parts is delivered to the workstation according to the order production information of the workstation and the parts demand task of each workstation. The preset number can be set according to the parts consumption rate of the workstation and the feeding speed of the picked parts. For example, when a part is used every 30 seconds at the workstation and the feeding speed of the picked parts is 5 minutes, the preset number is 7 or 6.

[0044] In summary, in the parts management method based on production plan provided by this application, the order production plan is obtained, and the parts demand information of each station is obtained according to the order production plan. According to the number of sets of parts set at each station and the parts demand information of each station, the parts demand task of each station is generated. This application allows the picking robot to pick and assemble parts in advance based on the parts demand task of each station before the order production plan is executed, which reduces the material waiting time of the automated production line, improves the production efficiency of the automated production line, and reduces material waste.

[0045] Based on the same inventive concept as the above embodiments, an embodiment of the present invention provides a computing device, such as Figure 4 As shown, the computing device includes: a processor 410 and a memory 411 storing a computer program; wherein, Figure 4 The processor 410 shown in the figure is not used to indicate that the number of the processor 410 is one, but is only used to indicate the positional relationship of the processor 410 relative to other devices. In actual applications, the number of the processor 410 may be one or more; similarly, Figure 4 The memory 411 shown in the figure has the same meaning, that is, it is only used to refer to the position relationship of the memory 411 relative to other devices. In practical applications, the number of memories 411 can be one or more. When the processor 410 runs the computer program, the above-mentioned parts management method based on production plan is implemented.

[0046] The computing device may also include: at least one network interface 412. The various components in the computing device are coupled together via a bus system 413. It is understood that the bus system 413 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 413 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, the bus system 413 is not used in the example above. Figure 4 Various buses are labeled as bus system 413.

[0047] The memory 411 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAMbus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 411 described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memories.

[0048] The memory 411 in the embodiment of the present invention is used to store various types of data to support the operation of the computing device. Examples of these data include: any computer program used to operate on the computing device, such as an operating system and an application program. Among them, the operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application program may include various applications, such as a media player (Media Player), a browser (Browser), etc., which are used to implement various application services. Here, the program that implements the method of the embodiment of the present invention may be included in the application program.

[0049] Based on the same inventive concept as the above-mentioned embodiment, this embodiment further provides a storage medium, in which a computer program is stored. The storage medium may be a magnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disk, or a compact disc read-only memory (CD-ROM); or it may be various devices including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc. When the computer program stored in the storage medium is executed by the processor, the above-mentioned parts management method based on the production plan is implemented. For the specific steps implemented when the computer program is executed by the processor, please refer to Figure 1-Figure 3 The description of the illustrated embodiment will not be repeated here.

[0050] The parts management method, computing device and storage medium based on production plan provided by the present invention obtain the order production plan, obtain the parts demand information of each workstation according to the order production plan, and generate the parts demand task of each workstation according to the number of sets of parts set at each workstation and the parts demand information of each workstation. The present application enables the picking robot to pick and assemble parts in advance based on the parts demand task of each workstation before the execution of the order production plan, thereby reducing the material waiting time of the automated production line, improving the production efficiency of the automated production line, and reducing the waste of materials.

[0051] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a portion of the steps in the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0052] Through the description of the above implementation methods, those skilled in the art can clearly understand that the embodiments of the present invention can be implemented by means of software plus necessary general hardware platforms. Based on such an understanding, the technical solution of the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various implementation scenarios of the embodiments of the present invention.

[0053] The above are only preferred embodiments of the present invention, and are not intended to limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any technician familiar with the profession can make some changes or modifications to equivalent embodiments of equivalent changes through the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A parts management method based on production planning, characterized in that: The method comprises: Get order production plan; According to the order production plan, obtain the parts demand information of each workstation; According to the number of parts and components set at each workstation and the parts demand information of each workstation, a parts demand task for each workstation is generated; the parts demand task is used to pick and assemble parts.

2. The parts management method based on production plan according to claim 1, characterized in that: The obtaining of component demand information for each workstation according to the order production plan includes: According to the order production plan, obtain the parts demand of each production order at each workstation; Based on the component demand of each production order at each workstation, the component demand information of each workstation is obtained.

3. The parts management method based on production plan according to claim 2, characterized in that: The number of parts and components set at each workstation includes the number of parts and components with different material numbers when each workstation produces different equipment; The generating of the component demand task of each workstation according to the number of components of each workstation and the component demand information of each workstation includes: Based on the number of sets of parts set at each workstation, the parts demand information of each workstation is split into a single set or multiple sets to obtain the parts demand task of each workstation.

4. The parts management method based on production plan according to claim 3, characterized in that: The method of dividing the component demand information of each workstation into a single or multiple sets based on the number of sets of components set at each workstation includes: If there is incomplete set of parts demand information in the parts demand information of each workstation, then obtain the material number corresponding to the incomplete set of parts demand information; Based on the material number, the parts demand information of the incomplete set is merged with the corresponding set.

5. The parts management method based on production planning according to claim 1, characterized in that: After generating the component demand task of each workstation according to the number of components set at each workstation and the component demand information of each workstation, the method includes: When the current time and the start execution time of the order production plan are less than the preset time, the parts demand task of each workstation is sent to the picking robot, so that the picking robot can pick and assemble parts in advance according to the parts demand task of each workstation before the order production plan is executed.

6. The parts management method based on production planning according to claim 5, characterized in that: Before the order production plan is executed, the picking robot picks and assembles the parts in advance according to the parts demand tasks of each workstation, including: Obtaining the physical workpieces and picked parts corresponding to the parts demand tasks of each workstation; According to the passing point status of the physical workpiece, the picked parts are transported to the corresponding workstations.

7. The parts management method based on production planning according to claim 6, characterized in that: The method further comprises: Identify the number of parts in the material area of ​​the workstation; When the number of parts is less than a preset number, the corresponding picked parts are transported to the workstation according to the order production information of the workstation and the parts demand task of each workstation.

8. The parts management method based on production planning according to claim 1, characterized in that: The method comprises: According to the number of production orders for the same equipment in the order production plan and the demand for parts at each workstation for the production orders of each equipment, the number of sets of parts at each workstation is set; or Based on the received set setting instructions, set the number of set parts for each workstation.

9. A computing device, characterized in that The method comprises a processor and a memory storing a computer program, and when the processor runs the computer program, the steps of the parts management method based on production planning described in any one of claims 1 to 8 are implemented.

10. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the parts management method based on production planning as described in any one of claims 1 to 8 are implemented.

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