An Inventory Management Method and System for Automotive Parts Based on Digital Twin

Abstract

The present invention provides a method and system for automotive parts inventory management based on digital twin, which relates to the technical field of inventory management. The method includes obtaining historical inventory supply and demand change data, performing digital twin of the parts inventory change model, and establishing a digital twin model for parts inventory management; collecting real-time parts demand information, and based on the digital twin model for parts inventory management, performing inventory optimization analysis based on production supply to form inventory management optimization analysis data; optimizing and adjusting the digital twin model for parts inventory management according to the inventory management optimization analysis data to form an optimized management model for parts inventory. This method uses digital twin technology to establish a reasonable parts inventory management model, thereby realizing reasonable management of parts inventory, ensuring that parts can meet demands in a timely manner while also reasonably controlling inventory costs.

Description

Technical Field

[0001] The present invention relates to the technical field of inventory management, and in particular to an automobile parts inventory management method and system based on digital twins. Background Art

[0002] With the development of society, more and more people use cars as a means of transportation, which makes the number of motor vehicles increase year by year. As a result, there are more and more after-sales maintenance and repairs of cars, which makes the demand for auto parts increase year by year. At present, the demand and supply of auto parts mainly adopts dealers or repair stations to put forward different parts requirements to the parts supply platform through the demand system, and then the platform will uniformly purchase and distribute the parts. Therefore, in order to provide sufficient parts to each dealer or repair station in a timely manner, the platform will establish an inventory system to manage the supply of parts.

[0003] At present, the management of spare parts inventory still mainly adopts traditional on-demand procurement and expected evaluation, which makes it impossible for the inventory procurement quantity of different accessories to match the demand well, resulting in frequent shortages of parts or excessive inventory, which has a negative impact on the platform's cost management and inventory management.

[0004] Therefore, designing an automotive parts inventory management method and system based on digital twins, establishing a reasonable parts inventory management model by using digital twin technology, and then realizing the rational management of parts inventory, ensuring that parts meet demand in a timely manner while also reasonably controlling inventory costs, is an urgent problem to be solved. Summary of the invention

[0005] The purpose of the present invention is to provide an automobile parts inventory management method based on digital twins. By combining historical inventory supply and demand change data for digital twins, a digital twin model for parts inventory management is established, and then reasonable inventory optimization and adjustment are performed based on the data twin model according to real-time parts demand, thereby ensuring that the inventory of parts can not only meet the needs of the demand side in a timely manner, but also avoid the low inventory space utilization and adverse effects on inventory cost control caused by unreasonable backlogs of inventory.

[0006] The purpose of the present invention is also to provide an automobile parts inventory management system based on digital twins. The system is configured as a complete system that can utilize historical inventory supply and demand change data for digital twins and utilize the digital twin model to reasonably optimize and control the current inventory level. This system can effectively ensure efficient and reasonable inventory management and is an important infrastructure for achieving better inventory management methods.

[0007] In a first aspect, the present invention provides a method for managing automotive parts inventory based on digital twins, including: obtaining historical inventory supply and demand change data, performing digital twin of the parts inventory change model, and establishing a digital twin model for parts inventory management; collecting real-time parts demand information, and based on the digital twin model for parts inventory management, performing inventory optimization analysis based on production supply to form inventory management optimization analysis data; optimizing and adjusting the digital twin model for parts inventory management according to the inventory management optimization analysis data to form an optimized management model for parts inventory.

[0008] In the present invention, the method performs digital twin by combining historical inventory supply and demand change data, establishes a digital twin model for parts inventory management, and then makes reasonable inventory optimization adjustments for real-time parts demand based on the data twin model, so as to ensure that the inventory of parts can not only meet the needs of the demand side in a timely manner, but also avoid the adverse effects on the utilization rate of inventory space and inventory cost control caused by unreasonable inventory backlog.

[0009] As a possible implementation manner, obtaining historical inventory supply and demand change data, performing digital twin of the parts inventory change model, and establishing a digital twin model for parts inventory management includes: obtaining historical inventory supply and demand change data, performing supply and demand consistency analysis to form consistent supply and demand change data; based on the consistent supply and demand change data, performing digital twin of the parts inventory change model and establishing a digital twin model for parts inventory management.

[0010] In the present invention, to establish a reasonable digital twin model for parts inventory management, it is first necessary to determine whether the historical inventory supply and demand change data correctly reflects the matching relationship between the inventory supply volume and the parts demand volume. Therefore, it is necessary to extract the inventory change data and the demand change data respectively for consistency analysis. Through consistency analysis, while verifying the matching degree of the inventory change data and the demand change data, the data that cannot be reasonably matched is also adjusted to ensure that the data can truly reflect the supply and demand change situation.

[0011] As a possible implementation manner, obtaining historical inventory supply and demand change data, performing supply and demand consistency analysis to form consistent supply and demand change data includes: according to the historical inventory supply and demand change data, extracting the historical inventory change relationship of different parts corresponding within the analysis period , where n represents the numbers of different parts; according to the historical inventory supply and demand change data, extracting the historical demand change relationship of the target parts of different demand sides for different parts , where m represents the numbers of different demand sides; according to the historical demand change relationship of the target parts of different parts for different demands , respectively determining the historical demand change relationship of different parts , where ; according to the relationship between the historical inventory changes of different accessories and the relationship between the historical demand changes of different corresponding accessories , perform supply-demand consistency analysis to form consistency supply-demand change data.

[0012] In the present invention, for the consistency analysis, it can be understood that for the demand of accessories and based on the operating rules of the industry, there is a certain periodicity in inventory changes. Therefore, when performing the consistency analysis, this periodicity can be used as the time scope of the analysis, and on this basis, the supply-demand matching relationship throughout the cycle can be reflected. Of course, since the demand for different accessories is different, the consistency analysis is also based on the types of accessories to separately judge the matching of supply-demand change data for different accessories.

[0013] As a possible implementation method, according to the relationship between the historical inventory changes of different accessories and the relationship between the historical demand changes of different corresponding accessories , perform supply-demand consistency analysis to form consistency supply-demand change data, including: for different accessories, according to the corresponding relationship between the historical inventory changes of accessories and the corresponding relationship between the historical demand changes of accessories , perform continuous integration respectively within the analysis period, and perform the following comparative analysis: If , then the relationship between the historical inventory changes of accessories is not adjusted, where represents any duration within [0, , represents the total duration of the analysis period, represents the supply-demand deviation threshold corresponding to the accessory numbered n; if , then according to the relationship between the historical demand changes of accessories , determine the consistency adjustment function , where , and the consistency adjustment function satisfies , represents the consistency adjustment coefficient; use the consistency adjustment function to replace the original change relationship of the relationship between the historical inventory changes of accessories to form a new relationship between the historical inventory changes of accessories .

[0014] In the present invention, the ideal supply-demand matching relationship should be that the inventory level changes synchronously with the change in demand. Considering the actual situation, the determination of the inventory level is also related to spare parts, production cycle, etc. Therefore, there is a certain difference between the change in the inventory level of accessories and the change in demand. This difference is reasonable and acceptable and belongs to the category of supply-demand matching consistency. When the change in the inventory level does not match the change in demand, the difference between the change in the inventory level and the change in demand will increase. Therefore, it is reasonable to analyze the consistency of the supply-demand change relationship by determining a reasonable difference judgment threshold for different accessories. The supply-demand deviation threshold can be set according to the actual situation or determined based on big data analysis. For the situation where the difference does not exceed the supply-demand deviation threshold, it can be determined that the change in the inventory level and the change in demand are synchronously matched. For the situation where the difference exceeds the supply-demand deviation threshold, it is considered that there is a certain interference in the change in the inventory level and the matching degree needs to be adjusted. Here, by referring to the supply-demand deviation threshold and guiding by the change rate of the inventory change amount, a new inventory change situation is adjusted, that is, the inventory level is reasonably increased or decreased in the time dimension to ensure that the cumulative difference in the entire cycle can only reach the supply-demand deviation threshold at most.

[0015] As a possible implementation method, based on the consistent supply-demand change data, digital twin of the accessory inventory change model is carried out to establish a digital twin model for accessory inventory management, including: according to the consistent supply-demand change data, taking the analysis period as the time span, carrying out digital twin of the accessory inventory change in the order of the time dimension to establish a digital twin model for accessory inventory management.

[0016] In the present invention, after obtaining reasonable and accurate supply-demand change data, a data twin model for accessory inventory management for supply-demand changes can be established in the time dimension to more clearly reflect the relationship between inventory supply-demand changes.

[0017] As a possible implementation method, real-time accessory demand information is collected, and based on the digital twin model for accessory inventory management, inventory optimization analysis based on production supply is carried out to form inventory management optimization analysis data, including: collecting real-time accessory demand information, extracting demand information for different accessories to form real-time accessory demand change data; according to the real-time accessory demand change data and combining with the digital twin model for accessory inventory management to carry out inventory optimization analysis to form inventory management optimization analysis data.

[0018] In the present invention, the data twin model for accessory inventory management can analyze the matching situation of the inventory level for the current accessory demand. This matching situation is to determine whether the current inventory level meets the demand and ensure reasonable cost control by using the supply-demand change data determination model provided by the digital twin model.

[0019] As a possible implementation, real-time accessory demand information is collected, and demand information of different accessories is extracted to form real-time accessory demand change data, including: according to the real-time accessory demand information, extracting the real-time demand change relationship of the target accessories of different accessories by different demand parties within the real-time analysis period ; according to the real-time demand change relationship of the same target accessory corresponding to different demand parties , determining the total demand change relationship of the corresponding accessories for different accessories , where .

[0020] In the present invention, it should be noted that since the collection of real-time accessory demand information is for a relatively short time period of the analysis period, but since the inventory and demand changes of accessories show obvious time characteristics, it is necessary to establish supply and demand change data for the corresponding time period when extracting real-time accessory demand changes, so as to provide a reasonable and correct reference for subsequent data comparison and analysis using the digital twin model for the corresponding time period.

[0021] As a possible implementation, according to the real-time accessory demand change data and in combination with the digital twin model of accessory inventory management, inventory optimization analysis is carried out to form inventory management optimization analysis data, including: according to the digital twin model of accessory inventory management, extracting the inventory change relationship of the model-mapped accessories of different accessories for the time period corresponding to the real-time analysis period ; for different accessories, according to the corresponding total demand change relationship of the accessories and the inventory change relationship of the model-mapped accessories carry out inventory optimization analysis to form the accessory inventory optimization information corresponding to different accessories; collect the accessory inventory optimization information corresponding to different accessories to form inventory management optimization analysis data.

[0022] In the present invention, to carry out optimization adjustment analysis of the inventory situation based on the actual demand for real-time accessory demand change data, it is also necessary to use the supply and demand relationship of the digital twin model for judgment to determine whether the inventory is still managed according to the supply and demand relationship of the digital twin model under the actual demand situation. Here, in order to make the matching relationship data in the extracted digital twin model comparable, the relationship data for the corresponding time period is also selected when extracting the data, so as to ensure the correctness of the matching comparison analysis.

[0023] As a possible implementation, for different accessories, according to the corresponding total demand change relationship of the accessories and the inventory change relationship of the model-mapped accessories carry out inventory optimization analysis to form the accessory inventory optimization information corresponding to different accessories, including: for different accessories, according to the corresponding total demand change relationship of the accessories and the inventory change relationship of the model-mapped accessories , the following analysis is carried out: If , then the information that the current inventory quantity of parts remains unchanged is formed, where represents the maximum value of the mapping relationship between the inventory change of parts in the extraction model within the real-time analysis period, represents the minimum value of the relationship between the total demand change of parts within the real-time analysis period; If > , and > , then the real-time change rate of the parts is determined , and based on the real-time change rate of the parts , the inventory change rate at the corresponding time point is determined , where represents the real-time analysis offset threshold corresponding to the part numbered n, and ≥ 0, represents the historical inventory change relationship of the parts the first derivative with respect to time, represents any duration within the real-time analysis period, represents the relationship between the total demand change of parts and the mapping relationship between the inventory change of parts in the model the difference at the corresponding time point; If > , and < , then the real-time change rate of the parts is determined , and based on the real-time change rate of the parts , the inventory change rate at the corresponding time point is determined ; If > , and ≤ ≤ , then the information that the current inventory quantity of parts remains unchanged is formed.

[0024] In the present invention, if the real-time spare part demand is adapted to the supply-demand matching data in the digital twin model, then the relationship between the spare part demand quantity and the inventory change within the real-time analysis period is collaborative both in terms of quantity and change situation. For the quantity collaboration, the direct judgment method is that there is a possible overlap between the real-time spare part demand quantity and the inventory demand quantity, which is determined by comparing the maximum value of the real-time spare part demand quantity with the minimum value of the inventory supply-demand relationship provided by the digital twin model. When the maximum value of the real-time spare part demand quantity does not exceed the minimum value of the inventory supply-demand relationship provided by the digital twin model, it can be considered that the current inventory is sufficient to meet the real-time spare part demand, and there is no need to increase the inventory of spare parts based on the supply-demand relationship of the digital twin model in the short term. However, when the maximum value of the real-time spare part demand quantity is greater than the minimum value of the inventory supply-demand relationship provided by the digital twin model, it can be considered that there is a possibility that the real-time spare part demand matches the inventory supply-demand relationship provided by the digital twin model, and then the difference value between the two relationships is determined to adjust whether the inventory change relationship. If there is a continuous change in the difference between the real-time spare part demand quantity and the inventory quantity provided by the digital twin model and it exceeds the judgment threshold, it indicates that the inventory change is too large and needs to be reduced, and the inventory quantity is controlled from the change rate. If there is a continuous change in the difference between the real-time spare part demand quantity and the inventory quantity provided by the digital twin model and it does not exceed the judgment threshold, it indicates that the inventory change is not significant, the current inventory is controllable, and there is no need to reduce it, and the original inventory supply can be maintained.

[0025] In a second aspect, the present invention provides a digital twin-based automotive spare part inventory management system, including: a data acquisition unit for acquiring historical inventory supply-demand change data; a digital twin unit for obtaining the historical inventory supply-demand change data acquired by the data acquisition unit, performing digital twin of the spare part inventory change model, and establishing a spare part inventory management digital twin model; an optimization analysis unit for acquiring real-time spare part demand information and performing inventory optimization analysis based on production supply according to the spare part inventory management digital twin model to form inventory management optimization analysis data.

[0026] In the present invention, the system, configured as a complete system capable of using historical inventory supply-demand change data for digital twin and using the digital twin model to reasonably optimize and control the current inventory quantity, can effectively ensure the efficient and reasonable implementation of inventory management and is an important infrastructure for achieving a more excellent inventory management method.

[0027] The beneficial effects of the digital twin-based automotive spare part inventory management method and system provided by the present invention are as follows:

[0028] This method combines historical inventory supply and demand change data for digital twinning, establishes a digital twin model for spare parts inventory management, and then makes reasonable inventory optimization adjustments based on real-time spare parts demand based on the data twin model, thereby ensuring that the inventory of spare parts can not only meet the needs of the demand side in a timely manner, but also avoid the low inventory space utilization and adverse effects on inventory cost control caused by unreasonable inventory backlogs.

[0029] The system is configured as a complete system that can use historical inventory supply and demand change data for digital twinning and use the digital twin model to reasonably optimize and control the current inventory level. It can effectively ensure efficient and reasonable inventory management and is an important infrastructure for achieving better inventory management methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments of the present invention are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 A step diagram of an automobile parts inventory management method based on digital twins provided in an embodiment of the present invention;

[0032] Figure 2 A diagram of inventory optimization analysis steps for an automobile parts inventory management method based on digital twins provided in an embodiment of the present invention;

[0033] Figure 3 A schematic diagram of the structure of an automobile parts inventory management system based on digital twins provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present invention will be described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0035] With the development of society, more and more people use cars as a means of transportation, which makes the number of motor vehicles increase year by year. As a result, there are more and more after-sales maintenance and repairs of cars, which makes the demand for auto parts increase year by year. At present, the demand and supply of auto parts mainly adopts dealers or repair stations to put forward different parts requirements to the parts supply platform through the demand system, and then the platform will uniformly purchase and distribute the parts. Therefore, in order to provide sufficient parts to each dealer or repair station in a timely manner, the platform will establish an inventory system to manage the supply of parts.

[0036] Currently, the management of spare parts inventory mainly still adopts traditional on-demand procurement and anticipatory assessment. This makes it impossible to well match the inventory procurement quantities of different spare parts with the demand quantities, and thus often leads to the situation of missing parts or excessive inventory, which has an adverse impact on the cost management and inventory management of the platform.

[0037] Reference Figures 1 to 3 , an embodiment of the present invention provides a digital-twin-based method for managing automotive spare parts inventory. This method performs digital twin by combining historical inventory supply-demand change data, establishes a digital twin model for spare parts inventory management, and then based on the data twin model, makes reasonable inventory optimization adjustments for real-time spare parts demand, so as to ensure that the inventory quantity of spare parts can not only meet the needs of the demand side in a timely manner, but also avoid the adverse effects of unreasonable inventory backlog on the inventory space utilization rate and inventory cost control.

[0038] The digital-twin-based method for managing automotive spare parts inventory specifically includes the following steps:

[0039] S1: Obtain historical inventory supply-demand change data, perform digital twin of the spare parts inventory change model, and establish a digital twin model for spare parts inventory management.

[0040] Obtaining historical inventory supply-demand change data, performing digital twin of the spare parts inventory change model, and establishing a digital twin model for spare parts inventory management includes: obtaining historical inventory supply-demand change data, performing supply-demand consistency analysis, and forming consistent supply-demand change data; based on the consistent supply-demand change data, performing digital twin of the spare parts inventory change model, and establishing a digital twin model for spare parts inventory management.

[0041] To establish a reasonable digital twin model for spare parts inventory management, it is first necessary to determine whether the historical inventory supply-demand change data correctly reflects the matching relationship between the inventory supply quantity and the spare parts demand quantity. Therefore, it is necessary to separately extract the inventory change data and the demand change data for consistency analysis. Through consistency analysis, while verifying the matching degree of the inventory change data and the demand change data, it also adjusts the data that cannot be reasonably matched to ensure that the data can truly reflect the supply-demand change situation.

[0042] Obtaining historical inventory supply-demand change data, performing supply-demand consistency analysis, and forming consistent supply-demand change data includes: according to the historical inventory supply-demand change data, extracting the historical inventory change relationship of different spare parts corresponding within the analysis period , where n represents the numbers of different spare parts; according to the historical inventory supply-demand change data, extracting the historical demand change relationship of different spare parts for different demand sides , where m represents the numbers of different demand sides; according to the historical demand change relationship of different spare parts for different demands , respectively determine the historical demand change relationships of different accessories , where ; according to the historical inventory change relationships of different accessories and the historical demand change relationships of corresponding different accessories , conduct supply-demand consistency analysis to form consistency supply-demand change data.

[0043] For consistency analysis, it can be understood that for the demand of accessories and based on the operating rules of the industry, there is a certain periodicity in inventory changes. Therefore, when conducting consistency analysis, this periodicity can be used as the time scope of analysis, and on this basis, the supply-demand matching relationship throughout the cycle can be reflected. Of course, since the demand for different accessories is different, the consistency analysis is also based on the types of accessories to separately judge the matching of supply-demand change data for different accessories.

[0044] According to the historical inventory change relationships of different accessories and the historical demand change relationships of corresponding different accessories , conduct supply-demand consistency analysis to form consistency supply-demand change data, including: for different accessories, according to the corresponding historical inventory change relationships and the corresponding historical demand change relationships , conduct continuous integration respectively within the analysis period and conduct the following comparative analysis: if , then do not adjust the historical inventory change relationship of the accessory , where represents any duration within [0, , represents the total duration of the analysis period, represents the supply-demand deviation threshold corresponding to the accessory numbered n; if , then according to the historical demand change relationship of the accessory , determine the consistency adjustment function , where , and the consistency adjustment function satisfies , represents the consistency adjustment coefficient; use the consistency adjustment function to replace the original change relationship of the historical inventory change relationship of the accessory to form a new historical inventory change relationship of the accessory .

[0045] The ideal supply-demand matching relationship should be that the inventory level changes synchronously with the change in demand. Considering the actual situation, the determination of inventory level also involves spare parts, production cycle, etc. Therefore, there are certain differences between the change in the inventory level of accessories and the change in demand. This kind of difference is reasonable and acceptable, belonging to the category of supply-demand matching consistency. When the change in inventory level does not match the change in demand, the difference between the change in inventory level and the change in demand will increase. Therefore, it is reasonable to use the reasonable difference judgment threshold for different accessories as the basis for analyzing the consistency of supply-demand change relationship. The supply-demand deviation threshold can be set according to the actual situation or determined based on big data analysis. For the situation where the difference does not exceed the supply-demand deviation threshold, it can be determined that the change in inventory level and the change in demand are synchronously matched. For the situation where the difference exceeds the supply-demand deviation threshold, it is considered that there is a certain interference in the change in inventory level, and the matching degree needs to be adjusted. Here, by taking the supply-demand deviation threshold as a reference and using the change rate of the inventory change amount as a guide, a new inventory change situation is adjusted, that is, the inventory level is reasonably increased or decreased in the time dimension to ensure that the cumulative difference in the entire cycle can only reach the supply-demand deviation threshold at most.

[0046] Based on the consistent supply-demand change data, conduct digital twin of the accessory inventory change model, and establish a digital twin model for accessory inventory management, including: according to the consistent supply-demand change data, taking the analysis period as the time span, conduct digital twin of the accessory inventory change in the order of the time dimension, and establish a digital twin model for accessory inventory management.

[0047] After obtaining reasonable and accurate supply-demand change data, a data twin model for accessory inventory management for supply-demand change can be established in the time dimension to more clearly reflect the relationship between inventory supply-demand change.

[0048] S2: Collect real-time accessory demand information, and based on the digital twin model of accessory inventory management, conduct inventory optimization analysis based on production supply to form inventory management optimization analysis data.

[0049] Collect real-time accessory demand information, and based on the digital twin model of accessory inventory management, conduct inventory optimization analysis based on production supply to form inventory management optimization analysis data, including: collect real-time accessory demand information, extract demand information of different accessories to form real-time accessory demand change data; according to the real-time accessory demand change data, and combined with the digital twin model of accessory inventory management, conduct inventory optimization analysis to form inventory management optimization analysis data.

[0050] The spare parts inventory management digital twin model can analyze the matching situation between the current inventory of spare parts and the demand. This matching situation is to use the supply and demand change data provided by the digital twin model to determine whether the current inventory meets the demand and ensure reasonable cost control.

[0051] Collect real-time spare parts demand information, extract the demand information of different spare parts, and form real-time spare parts demand change data, including: according to the real-time spare parts demand information, extract the real-time demand change relationship of the target spare parts of different demand parties for different spare parts within the real-time analysis period ; according to the real-time demand change relationship of the same target spare parts corresponding to different demand parties to determine the total demand change relationship of the spare parts corresponding to different spare parts , where .

[0052] It should be noted that since the collection of real-time spare parts demand information is for a relatively short period within the analysis period, but due to the obvious time characteristics of the inventory and demand changes of spare parts, it is necessary to establish the supply and demand change data for the corresponding time period when extracting the real-time spare parts demand changes, so as to provide a reasonable and correct reference for subsequent data comparison and analysis using the digital twin model for the corresponding time period.

[0053] According to the real-time spare parts demand change data, and combined with the spare parts inventory management digital twin model for inventory optimization analysis, form inventory management optimization analysis data, including: according to the spare parts inventory management digital twin model, extract the model-mapped spare parts inventory change relationship of different spare parts for the time period corresponding to the real-time analysis period ; for different spare parts, according to the corresponding total demand change relationship of the spare parts and the model-mapped spare parts inventory change relationship carry out inventory optimization analysis to form the spare parts inventory optimization information corresponding to different spare parts; collect the spare parts inventory optimization information corresponding to different spare parts to form inventory management optimization analysis data.

[0054] To carry out optimization adjustment analysis on the inventory situation based on the actual demand for the real-time spare parts demand change data, it is also necessary to use the supply and demand relationship of the digital twin model for judgment to determine whether the inventory is still managed according to the supply and demand relationship of the digital twin model under the actual demand situation. Here, in order to make the matching relationship data in the extracted digital twin model comparable, the relationship data for the corresponding time period is also selected when extracting the data, so as to ensure the correctness of the matching comparison analysis.

[0055] For different spare parts, according to the corresponding total demand change relationship of the spare parts and the model-mapped spare parts inventory change relationship Conduct inventory optimization analysis to form the optimized inventory information for different parts, including: for different parts, according to the corresponding total demand change relationship of the parts and the inventory change relationship of the model-mapped parts , conduct the following analysis: if , then form the information that the current inventory quantity of the parts remains unchanged, where represents extracting the maximum value of the inventory change relationship of the model-mapped parts within the real-time analysis period, represents extracting the minimum value of the total demand change relationship of the parts within the real-time analysis period; if > , and > , then determine the real-time change rate of the parts , and according to the real-time change rate of the parts , determine the inventory change rate at the corresponding time point, where represents the real-time analysis offset threshold corresponding to the part numbered n, and ≥0, represents the first derivative of the historical inventory change relationship of the parts with respect to time, represents any duration within the real-time analysis period, represents the total demand change relationship of the parts and the difference between the inventory change relationship of the model-mapped parts at the corresponding time point; if > , and < , then determine the real-time change rate of the parts , and according to the real-time change rate of the parts , determine the inventory change rate ; if > , and ≤ ≤ , then form the information that the current inventory quantity of the parts remains unchanged.

[0056] If the real-time spare part demand is adapted to the supply-demand matching data in the digital twin model, then the relationship between the spare part demand quantity and the inventory change during the real-time analysis period is collaborative both in quantity and in change situation. For the quantity collaboration, the direct judgment method is that there may be an overlap between the real-time spare part demand quantity and the inventory demand quantity, which is determined by comparing the maximum value of the real-time spare part demand quantity with the minimum value of the inventory supply-demand relationship provided by the digital twin model. When the maximum value of the real-time spare part demand quantity does not exceed the minimum value of the inventory supply-demand relationship provided by the digital twin model, it can be considered that the current inventory of the real-time spare part demand is sufficient to meet the demand, and there is no need to increase the inventory of spare parts based on the supply-demand relationship of the digital twin model in the short term. When the maximum value of the real-time spare part demand quantity is greater than the minimum value of the inventory supply-demand relationship provided by the digital twin model, it can be considered that there is a possibility that the real-time spare part demand matches the inventory supply-demand relationship provided by the digital twin model, and then the gap value between the two relationships is determined to adjust whether the inventory change relationship. If there is a continuous change in the difference between the real-time spare part demand quantity and the inventory quantity provided by the digital twin model and it exceeds the judgment threshold, it indicates that the inventory change is too large and needs to be reduced, and the inventory quantity is controlled from the change rate. If there is a continuous change in the difference between the real-time spare part demand quantity and the inventory quantity provided by the digital twin model and it does not exceed the judgment threshold, it indicates that the inventory change is not large, the current inventory is controllable, and there is no need to reduce it and the original inventory supply can be maintained.

[0057] S3: Optimize and adjust the digital twin model of spare part inventory management according to the inventory management optimization analysis data to form an optimized spare part inventory management model.

[0058] After obtaining the formed inventory management optimization analysis data, the supply-demand matching relationship of the digital twin model can be adjusted based on the data to ensure a reasonable inventory quantity.

[0059] The present invention also provides a digital twin-based automotive spare part inventory management system, which includes a data collection unit for collecting historical inventory supply-demand change data; a digital twin unit for obtaining the historical inventory supply-demand change data collected by the data collection unit, performing digital twin of the spare part inventory change model, and establishing a digital twin model of spare part inventory management; an optimization analysis unit for collecting real-time spare part demand information and performing inventory optimization analysis based on production supply according to the digital twin model of spare part inventory management to form inventory management optimization analysis data.

[0060] By configuring the system to be a complete system capable of using historical inventory supply-demand change data for digital twin and using the digital twin model to reasonably optimize and control the current inventory quantity, it can effectively ensure the efficient and reasonable implementation of inventory management and is an important infrastructure for realizing a better inventory management method.

[0061] In summary, the beneficial effects of the method and system for automobile parts inventory management based on digital twin provided by the embodiments of the present invention are as follows:

[0062] By combining historical inventory supply and demand change data for digital twin, this method establishes a digital twin model for parts inventory management. Furthermore, based on the data twin model, reasonable inventory optimization and adjustment are carried out for real-time parts demand, so as to ensure that the inventory of parts can not only meet the needs of the demand side in a timely manner, but also avoid the low utilization rate of inventory space and the adverse impact on inventory cost control caused by unreasonable inventory backlog.

[0063] By configuring a complete system that can utilize historical inventory supply and demand change data for digital twin and use the digital twin model to reasonably optimize and control the current inventory, this system can effectively ensure the efficient and reasonable implementation of inventory management, and is an important infrastructure for realizing a more excellent inventory management method.

[0064] In the embodiments of this application, descriptions such as "when...", "in the case of...", "if", and "when" all refer to the device making corresponding processing under a certain objective situation, not limited to time, and it is not required that the device must have a judgment action when implemented, nor does it mean there are other limitations.

[0065] In the description of the embodiments of the present application, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship. For example, A / B may represent A or B. The "and / or" in the embodiments of the present application is merely a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Also, in the description of the embodiments of the present application, unless otherwise specified, "a plurality of" means two or more than two. "At least one (item)" or its similar expression refers to any combination of these items, including any combination of a single item or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple. Additionally, for the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and roles. Those skilled in the art can understand that terms such as "first" and "second" do not limit the quantity and execution order, and terms such as "first" and "second" do not necessarily limit being different. At the same time, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "exemplary" or "for example" aims to present relevant concepts in a specific way for easy understanding.

[0066] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, or magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0067] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be specifically understood with reference to the context.

[0068] In the present application, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0069] It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0070] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0071] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0072] In several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be electrical, mechanical, or other forms.

[0073] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0074] In addition, the functional units in each embodiment of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0075] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0076] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A method for managing automobile parts inventory based on digital twins, characterized in that: include: Obtain historical inventory supply and demand change data, conduct digital twinning of the spare parts inventory change model, and establish a digital twin model for spare parts inventory management; Collect real-time spare parts demand information, and conduct inventory optimization analysis based on production supply according to the spare parts inventory management digital twin model to form inventory management optimization analysis data; Optimizing and adjusting the accessories inventory management digital twin model according to the inventory management optimization analysis data to form an accessories inventory optimization management model; The acquisition of historical inventory supply and demand change data, the digital twinning of the parts inventory change model, and the establishment of a parts inventory management digital twinning model include: Obtain the historical inventory supply and demand change data, perform supply and demand consistency analysis, and form consistent supply and demand change data; Based on the consistent supply and demand change data, a digital twin of the parts inventory change model is generated to establish a digital twin model for parts inventory management; The obtaining of the historical inventory supply and demand change data, performing supply and demand consistency analysis, and forming consistent supply and demand change data includes: According to the historical inventory supply and demand change data, extract the historical inventory change relationship of different accessories corresponding to different accessories during the analysis period , n represents the number of different accessories; According to the historical inventory supply and demand change data, the historical demand change relationship of the object accessories for different accessories by different demand parties during the analysis period is extracted. , m represents the number of different demand parties; According to the relationship between the historical demand changes of the object accessories by different demand parties for different accessories , respectively determine the historical demand change relationship of different accessories ,in, ; According to the historical inventory change relationship of the accessories corresponding to different accessories The relationship between the historical demand changes of the corresponding different accessories , perform supply and demand consistency analysis to form the consistent supply and demand change data; The historical inventory change relationship of the accessories corresponding to different accessories The relationship between the historical demand changes of the corresponding different accessories , conduct supply and demand consistency analysis to form the consistent supply and demand change data, including: For different accessories, according to the corresponding historical inventory change relationship of the accessories And the corresponding relationship between the historical demand changes of the accessories , continuous integration is performed in the analysis period, and the following comparative analysis is performed: like , then the historical inventory change relationship of the accessory will not be Make adjustments, including Indicates that in [0, ] for any duration within the range, represents the total duration of the analysis period, Indicates the supply-demand deviation threshold corresponding to the accessory numbered n; like , then according to the historical demand change relationship of the accessories , determine the consistency adjustment function ,in, , and the consistency adjustment function satisfy , represents the consistency adjustment coefficient; Use the consistency adjustment function Replace the historical inventory change relationship of the accessories The original change relationship forms a new historical inventory change relationship of the accessory .

2. An automobile parts inventory management system based on digital twins, characterized in that: include: Data collection unit, used to collect historical inventory supply and demand change data; A digital twin unit, used to obtain the historical inventory supply and demand change data collected by the data collection unit, perform digital twinning of the spare parts inventory change model, and establish a spare parts inventory management digital twin model; An optimization analysis unit, used to collect real-time spare parts demand information, and perform inventory optimization analysis based on production supply according to the spare parts inventory management digital twin model to form inventory management optimization analysis data; Wherein, the digital twin unit is also used for: Obtain the historical inventory supply and demand change data, perform supply and demand consistency analysis, and form consistent supply and demand change data; Based on the consistent supply and demand change data, a digital twin of the parts inventory change model is generated to establish a digital twin model for parts inventory management; Wherein, the digital twin unit is also used for: According to the historical inventory supply and demand change data, extract the historical inventory change relationship of different accessories corresponding to different accessories during the analysis period , n represents the number of different accessories; According to the historical inventory supply and demand change data, the historical demand change relationship of the object accessories for different accessories by different demand parties during the analysis period is extracted. , m represents the number of different demand parties; According to the relationship between the historical demand changes of the object accessories by different demand parties for different accessories , respectively determine the historical demand change relationship of different accessories ,in, ; According to the historical inventory change relationship of the accessories corresponding to different accessories The relationship between the historical demand changes of the corresponding different accessories , perform supply and demand consistency analysis to form the consistent supply and demand change data; Wherein, the digital twin unit is also used for: For different accessories, according to the corresponding historical inventory change relationship of the accessories And the corresponding relationship between the historical demand changes of the accessories , continuous integration is performed in the analysis period, and the following comparative analysis is performed: like , then the historical inventory change relationship of the accessory will not be Make adjustments, including Indicates that in [0, ] for any duration within the range, represents the total duration of the analysis period, Indicates the supply-demand deviation threshold corresponding to the accessory numbered n; like , then according to the historical demand change relationship of the accessories , determine the consistency adjustment function ,in, , and the consistency adjustment function satisfy , represents the consistency adjustment coefficient; Use the consistency adjustment function Replace the historical inventory change relationship of the accessories The original change relationship forms a new historical inventory change relationship of the accessory .

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