Automobile accessory inventory management system and method based on digital twinning

Abstract

The invention provides an automobile spare part inventory management system and method based on digital twinning, and relates to the technical field of inventory management. The method comprises the steps of obtaining historical inventory supply and demand change data, performing digital twinning of an accessory inventory change model, and establishing an accessory inventory management digital twinning model; real-time accessory demand information is collected, inventory optimization analysis based on production supply is carried out according to the accessory inventory management digital twin model, and inventory management optimization analysis data is formed; and performing optimization adjustment on the accessory inventory management digital twin model according to the inventory management optimization analysis data to form an accessory inventory optimization management model. According to the method, a reasonable accessory inventory management model is established by using a digital twinning technology, so that the reasonable management of the accessory inventory is realized, and the inventory cost can be reasonably controlled while the accessories are ensured to meet the requirements in time.

Description

[0001] This application is a divisional application of the invention application with the application date of March 4, 2025, Chinese application number 202510248002.0, and invention name “A method and system for automobile parts inventory management based on digital twins”. Technical Field

[0002] The present invention relates to the technical field of inventory management, and in particular to an automobile parts inventory management system and method based on digital twins. Background Art

[0003] With the development of society, more and more people use cars as a means of transportation, resulting in an annual increase in the number of motor vehicles. As a result, there is an increasing number of after-sales maintenance and repairs for cars, which in turn leads to an increasing demand for auto parts. Currently, the demand for auto parts is mainly supplied by dealers or repair stations through a demand system to submit different parts requirements to the parts supply platform, which then centrally handles the procurement and distribution of parts. Therefore, in order to ensure that dealers or repair stations can provide sufficient parts in a timely manner, the platform will establish an inventory system to manage the parts supply.

[0004] Currently, the management of spare parts inventory mainly adopts traditional on-demand procurement and expected evaluation, which makes it impossible to match the inventory procurement volume of different accessories with the demand volume, resulting in frequent parts shortages or excessive inventory, which has a negative impact on the platform's cost management and inventory management.

[0005] Therefore, designing a digital twin-based automotive parts inventory management method and system, and establishing a reasonable parts inventory management model by using digital twin technology, thereby achieving reasonable 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

[0006] 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 made 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 demanders in a timely manner, but also avoid the low inventory space utilization and adverse effects on inventory cost control caused by unreasonable inventory backlogs.

[0007] 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 use historical inventory supply and demand change data for digital twins and use digital twin models to reasonably optimize and control the current inventory level. It can effectively ensure the efficient and reasonable implementation of inventory management and is an important infrastructure for achieving better inventory management methods.

[0008] In a first aspect, the present invention provides an automotive parts inventory management method based on digital twins, comprising: obtaining historical inventory supply and demand change data, performing a digital twin of the parts inventory change model, and establishing a parts inventory management digital twin model; collecting real-time parts demand information, and performing inventory optimization analysis based on production and supply according to the parts inventory management digital twin model to form inventory management optimization analysis data; optimizing and adjusting the parts inventory management digital twin model according to the inventory management optimization analysis data to form a parts inventory optimization management model.

[0009] In the present invention, the method combines historical inventory supply and demand change data for digital twinning to establish 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 demanders in a timely manner, but also avoid the low inventory space utilization and adverse effects on inventory cost control caused by unreasonable inventory backlogs.

[0010] As a possible implementation method, historical inventory supply and demand change data is obtained, a digital twin of the accessories inventory change model is constructed, and a digital twin model of accessories inventory management is established, including: obtaining historical inventory supply and demand change data, conducting supply and demand consistency analysis, and forming consistent supply and demand change data; based on the consistent supply and demand change data, a digital twin of the accessories inventory change model is constructed, and a digital twin model of accessories inventory management is established.

[0011] In this paper, to establish a reasonable digital twin model for parts inventory management, it is first necessary to determine whether historical inventory supply and demand change data accurately reflects the matching relationship between inventory supply and parts demand. Therefore, it is necessary to extract inventory change data and demand change data separately for consistency analysis. This consistency analysis verifies the matching degree between inventory change data and demand change data, and also adjusts any data that does not reasonably match, ensuring that the data truly reflects the supply and demand changes.

[0012] As a possible implementation method, historical inventory supply and demand change data is obtained, supply and demand consistency analysis is performed, and consistent supply and demand change data is formed, including: based on the historical inventory supply and demand change data, extracting the historical inventory change relationship F corresponding to different parts within the analysis period n(t), n represents the number of different accessories; according to the historical inventory supply and demand change data, extract the historical demand change relationship of different demand parties for different accessories during the analysis period m represents the number of different demand parties; the historical demand change relationship of different accessories according to different demands Determine the historical demand change relationship H of different accessories respectively n (t), where According to the historical inventory change relationship F of different accessories n (t) and the corresponding historical demand change relationship H for different accessories n (t), conduct supply and demand consistency analysis to form consistent supply and demand change data.

[0013] In the present invention, consistency analysis is based on the understanding that demand for parts and inventory changes based on industry operating patterns exhibit certain periodicity. Therefore, when conducting consistency analysis, this periodicity can be used as the timeframe for analysis, thereby reflecting the supply and demand matching relationship over the entire cycle. Of course, since demand for different parts varies, consistency analysis is also conducted based on the type of part, assessing the matching of supply and demand change data for different parts.

[0014] As a possible implementation method, according to the historical inventory change relationship F corresponding to different accessories n (t) and the corresponding historical demand change relationship H for different accessories n (t), conduct supply and demand consistency analysis to form consistent supply and demand change data, including: for different accessories, according to the corresponding accessories historical inventory change relationship F n (t) and the corresponding historical demand change relationship H for accessories n (t), perform continuous integration within the analysis period, and perform the following comparative analysis: If Then the historical inventory change relationship F of the accessories is not n (t) is adjusted, where T con Indicates that in [0, T all ] any duration within the range, T all Indicates the total duration of the analysis period, α n Indicates the supply and demand deviation threshold corresponding to the accessory numbered n; if According to the historical demand change relationship H n (t), determine the consistency adjustment function U n (t), where U n (t) = H n (t)-a, and the consistency adjustment function U n (t) Satisfaction a represents the consistency adjustment coefficient; using the consistency adjustment function U n (t) Historical inventory change relationship of replacement parts F n (t) to form a new accessory history inventory change relationship F n (t).

[0015] In the present invention, an ideal supply-demand matching relationship should be one in which inventory changes in sync with demand changes. Considering that in real-world situations, inventory determination also involves factors like spare parts and production cycles, there may be some discrepancies between inventory changes and demand changes for certain accessories. Such discrepancies are reasonable and acceptable, and fall within the scope of supply-demand matching consistency. If inventory changes do not match demand changes, the discrepancy between them increases. Therefore, it is reasonable to analyze supply-demand matching consistency by establishing reasonable thresholds for discrepancy determination for different accessories. The supply-demand deviation threshold can be set based on actual conditions or determined based on big data analysis. If the discrepancy does not exceed the supply-demand deviation threshold, inventory changes and demand changes can be considered synchronized. If the discrepancy exceeds the supply-demand deviation threshold, it is considered that there is some interference in inventory changes, and adjustments to the matching degree are necessary. Here, using the supply-demand deviation threshold as a reference and the rate of change in inventory change as a guide, a new inventory change is adjusted. This involves rationally increasing or decreasing inventory over time to ensure that the maximum cumulative discrepancy over the entire cycle only reaches the supply-demand deviation threshold.

[0016] As a possible implementation method, based on the consistent supply and demand change data, a digital twin of the parts inventory change model is created, and a digital twin model for parts inventory management is established, including: based on the consistent supply and demand change data, with the analysis period as the time span, a digital twin of the parts inventory change is created in the order of the time dimension, and a digital twin model for parts inventory management is established.

[0017] In the present invention, after obtaining reasonable and accurate supply and demand change data, a twin model of accessories inventory management data for supply and demand changes can be established in the time dimension to more clearly reflect the relationship between inventory supply and demand changes.

[0018] As a possible implementation method, real-time parts demand information is collected, and according to the parts inventory management digital twin model, inventory optimization analysis based on production and supply is carried out to form inventory management optimization analysis data, including: collecting real-time parts demand information, extracting demand information of different parts, and forming real-time parts demand change data; according to the real-time parts demand change data, inventory optimization analysis is carried out in combination with the parts inventory management digital twin model to form inventory management optimization analysis data.

[0019] In this invention, the parts inventory management data twin model can analyze the inventory matching of current parts 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 ensures reasonable cost control.

[0020] As a possible implementation method, real-time parts demand information is collected, and demand information of different parts is extracted to form real-time parts demand change data, including: extracting the real-time demand change relationship of different parts of different demand parties within the real-time analysis cycle based on the real-time parts demand information According to the real-time demand change relationship of the same object accessories corresponding to different demand parties Determine the change relationship V of total demand for different accessories n (t), where

[0021] In the present invention, it should be noted that since the collection of real-time parts demand information is a relatively short period of time compared to the analysis cycle, but since the inventory and demand changes of parts show obvious time characteristics, it is necessary to establish supply and demand change data in the corresponding time period when extracting real-time parts demand changes, so as to provide a reasonable and correct reference for the subsequent use of the digital twin model to perform data comparison and analysis in the corresponding time period.

[0022] As a possible implementation method, inventory optimization analysis is performed based on real-time parts demand change data and combined with the parts inventory management digital twin model to form inventory management optimization analysis data, including: extracting the model mapping parts inventory change relationship W for different parts in the time period corresponding to the real-time analysis cycle based on the parts inventory management digital twin model. n (t); For different accessories, according to the corresponding total demand for accessories, the relationship V n (t) and model mapping accessory inventory change relationship W n (t) Conduct inventory optimization analysis to generate accessory inventory optimization information corresponding to different accessories; aggregate accessory inventory optimization information corresponding to different accessories to generate inventory management optimization analysis data.

[0023] In this invention, to analyze real-time changes in parts demand and optimize inventory based on actual demand, the supply and demand relationships of the digital twin model are also used to determine whether inventory management should continue according to the supply and demand relationships of the digital twin model under actual demand conditions. To ensure comparability of the matching relationship data extracted from the digital twin model, the corresponding relationship data for the corresponding time period is also selected during data extraction to ensure the accuracy of the matching and comparative analysis.

[0024] As a possible implementation method, for different accessories, according to the corresponding total demand change relationship V n (t) and model mapping accessory inventory change relationship W n (t) Carry out inventory optimization analysis to form the corresponding parts inventory optimization information for different parts, including: for different parts, according to the corresponding total parts demand change relationship V n (t) and model mapping accessory inventory change relationship W n (t), the following analysis is performed: If Max[W n (t)]≤Min[V n (t)], then the current inventory quantity of accessories remains unchanged, where Max[W n (t)] represents the extraction model mapping accessory inventory change relationship W n (t) The maximum value within the real-time analysis period, Min[V n (t)] represents the change relationship of the total demand for accessories V n (t) The minimum value within the real-time analysis period; if Max[W n (t)]>Min[V n (t)], and Then determine the real-time change rate R of the accessories n , and according to the real-time change rate R of the accessories n , determine the inventory change rate F' at the corresponding time point n (t)-R n , where β n represents the real-time analysis bias threshold corresponding to the accessory numbered n, and β n ≥0, F′ n (t) represents the historical inventory change relationship of accessories F n (t) The first derivative with respect to time, T cur Indicates any time duration within the real-time analysis period, E n (t) represents the change in total demand for accessories W n (t) and model mapping accessory inventory change relationship W n (t) The difference at the corresponding time point; if Max[W n (t)]>Min[V n (t)], and Then determine the real-time change rate R of the accessories n , and according to the real-time change rate R of the accessories n , determine the inventory change rate F' at the corresponding time point n (t)+R n ; If Max[W n (t)]>Min[V n (t)], and This forms the information that the current inventory quantity of accessories remains unchanged.

[0025] In the present invention, if the real-time parts demand is compatible with the supply and demand matching data in the digital twin model, then the parts demand quantity is synergistic with the inventory change relationship in terms of quantity and change within the real-time analysis cycle. As for the quantitative synergy, the direct judgment method is that the real-time parts demand and the inventory demand have possible overlap. Here, the maximum value of the real-time parts demand is compared with the minimum value of the inventory supply and demand relationship provided by the digital twin model to determine. When the maximum value of the real-time parts demand does not exceed the minimum value of the inventory supply and demand relationship provided by the digital twin model, it can be considered that the current inventory of the real-time parts demand is sufficient to meet it, and there is no need to increase the parts inventory based on the supply and demand relationship of the digital twin model in the short term. When the maximum value of the real-time parts demand is greater than the minimum value of the inventory supply and demand relationship provided by the digital twin model, it can be considered that the real-time parts demand has the possibility of matching the inventory supply and demand relationship provided by the digital twin model in terms of quantity, and then the inventory change relationship is adjusted by determining the gap value between the two relationships. If the difference between real-time parts demand and the inventory provided by the digital twin model changes continuously and exceeds the judgment threshold, it indicates that the inventory has changed significantly and needs to be reduced. Control the inventory by focusing on the rate of change. If the difference between real-time parts demand and the inventory provided by the digital twin model changes continuously and does not exceed the judgment threshold, it indicates that the inventory has changed slightly and the current inventory is controllable. No reduction is required and the original inventory supply can be maintained.

[0026] In the second aspect, the present invention provides an automobile parts inventory management system based on digital twins, including: a data acquisition unit for collecting historical inventory supply and demand change data; a digital twin unit for obtaining the historical inventory supply and demand change data collected by the data acquisition unit, performing digital twinning of the parts inventory change model, and establishing a parts inventory management digital twin model; an optimization analysis unit for collecting real-time parts demand information, and performing inventory optimization analysis based on production and supply according to the parts inventory management digital twin model to form inventory management optimization analysis data.

[0027] In the present invention, 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 the efficient and reasonable implementation of inventory management and is an important infrastructure for achieving better inventory management methods.

[0028] The beneficial effects of the digital twin-based automobile parts inventory management method and system provided by the present invention are as follows:

[0029] This method combines historical inventory supply and demand change data for digital twinning to establish a digital twin model for spare parts inventory management. Then, based on the data twin model, reasonable inventory optimization and adjustment are made according to real-time spare parts demand, thereby ensuring that the inventory level 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.

[0030] 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 rationally 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

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 A diagram showing the steps of a digital twin-based automotive parts inventory management method provided in an embodiment of the present invention;

[0033] Figure 2 A diagram showing the steps of inventory optimization analysis for the digital twin-based automotive parts inventory management method provided in an embodiment of the present invention;

[0034] Figure 3 A schematic structural diagram of the digital twin-based automotive parts inventory management system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.

[0036] With the development of society, more and more people use cars as a means of transportation, resulting in an annual increase in the number of motor vehicles. As a result, there is an increasing number of after-sales maintenance and repairs for cars, which in turn leads to an increasing demand for auto parts. Currently, the demand for auto parts is mainly supplied by dealers or repair stations through a demand system to submit different parts requirements to the parts supply platform, which then centrally handles the procurement and distribution of parts. Therefore, in order to ensure that dealers or repair stations can provide sufficient parts in a timely manner, the platform will establish an inventory system to manage the parts supply.

[0037] Currently, the management of spare parts inventory mainly adopts traditional on-demand procurement and expected evaluation, which makes it impossible to match the inventory procurement volume of different accessories with the demand volume, resulting in frequent parts shortages or excessive inventory, which has a negative impact on the platform's cost management and inventory management.

[0038] refer to Figures 1 to 3 An embodiment of the present invention provides an automotive parts inventory management method based on digital twins. The method establishes a digital twin model for parts inventory management by combining historical inventory supply and demand change data. Then, based on the data twin model, reasonable inventory optimization and adjustment are performed according to real-time parts demand, thereby ensuring that the inventory of parts can not only meet the needs of the demanders in a timely manner, but also avoid the low inventory space utilization and adverse effects on inventory cost control caused by unreasonable inventory backlogs.

[0039] The digital twin-based automotive parts inventory management method specifically includes the following steps:

[0040] S1: Obtain historical inventory supply and demand change data, conduct a digital twin of the parts inventory change model, and establish a digital twin model for parts inventory management.

[0041] Obtain historical inventory supply and demand change data, conduct a digital twin of the parts inventory change model, and establish a digital twin model for parts inventory management, including: obtaining historical inventory supply and demand change data, conducting supply and demand consistency analysis, and forming consistent supply and demand change data; based on the consistent supply and demand change data, conduct a digital twin of the parts inventory change model and establish a digital twin model for parts inventory management.

[0042] To establish a reasonable digital twin model for parts inventory management, it's first necessary to determine whether historical inventory supply and demand change data accurately reflects the matching relationship between inventory supply and parts demand. Therefore, it's necessary to extract both inventory change data and demand change data for consistency analysis. This consistency analysis verifies the matching between inventory change data and demand change data, while also adjusting any inappropriately matching data to ensure the data truly reflects supply and demand fluctuations.

[0043] Obtain historical inventory supply and demand change data, conduct supply and demand consistency analysis, and form consistent supply and demand change data, including: extracting the historical inventory change relationship F corresponding to different accessories during the analysis period based on historical inventory supply and demand change data n (t), n represents the number of different accessories; according to the historical inventory supply and demand change data, extract the historical demand change relationship of different demand parties for different accessories during the analysis period m represents the number of different demand parties; the historical demand change relationship of different accessories according to different demands Determine the historical demand change relationship H of different accessories respectively n (t), where According to the historical inventory change relationship F of different accessories n (t) and the corresponding historical demand change relationship H for different accessories n (t), conduct supply and demand consistency analysis to form consistent supply and demand change data.

[0044] Regarding consistency analysis, it's understandable that demand for parts and inventory changes, based on industry operating patterns, exhibit a certain degree of cyclicality. Therefore, when conducting consistency analysis, this cyclicality can be used as the timeframe for analysis, reflecting the supply and demand matching relationship over the entire cycle. Of course, since demand for different parts varies, consistency analysis is also conducted based on the type of part, assessing the matching of supply and demand data for each part.

[0045] According to the historical inventory change relationship F of different accessories n (t) and the corresponding historical demand change relationship H for different accessories n (t), conduct supply and demand consistency analysis to form consistent supply and demand change data, including: for different accessories, according to the corresponding accessories historical inventory change relationship F n (t) and the corresponding historical demand change relationship H for accessories n (t), perform continuous integration within the analysis period, and perform the following comparative analysis: If Then the historical inventory change relationship F of the accessories is not n (t) is adjusted, where T con Indicates that in [0, T all ] any duration within the range, T all Indicates the total duration of the analysis period, α n Indicates the supply and demand deviation threshold corresponding to the accessory numbered n; if According to the historical demand change relationship H n (t), determine the consistency adjustment function U n (t), where U n (t) = H n (t)-a, and the consistency adjustment function U n (t) Satisfaction a represents the consistency adjustment coefficient; using the consistency adjustment function U n (t) Historical inventory change relationship of replacement parts F n (t) to form a new accessory history inventory change relationship F n (t).

[0046] An ideal supply-demand match should have inventory levels that change in sync with changes in demand. Considering that inventory levels in real-world situations often involve factors like spare parts and production cycles, there may be some discrepancy between inventory changes and demand changes for certain parts. This discrepancy is reasonable and acceptable, and falls within the realm of supply-demand consistency. However, if inventory changes do not match demand changes, the discrepancy between them increases. Therefore, it's reasonable to analyze supply-demand consistency by establishing reasonable thresholds for discrepancy between these thresholds for different parts. The supply-demand deviation threshold can be set based on actual conditions or determined based on big data analysis. If the discrepancy does not exceed the supply-demand deviation threshold, inventory changes and demand changes are considered synchronized. If the discrepancy exceeds the supply-demand deviation threshold, it's considered that inventory changes are interfering, and adjustments to the degree of alignment are necessary. Here, using the supply-demand deviation threshold as a reference and the rate of change in inventory as a guide, a new inventory change is created. This involves rationally increasing or decreasing inventory levels over time to ensure that the cumulative discrepancy over the entire cycle only reaches the supply-demand deviation threshold.

[0047] Based on the consistent supply and demand change data, a digital twin of the parts inventory change model is created, and a digital twin model for parts inventory management is established, including: based on the consistent supply and demand change data, with the analysis period as the time span, a digital twin of the parts inventory change is created in the time dimension sequence, and a digital twin model for parts inventory management is established.

[0048] After obtaining reasonable and accurate supply and demand change data, a twin model of spare parts inventory management data for supply and demand changes can be established in the time dimension to more clearly reflect the relationship between inventory supply and demand changes.

[0049] S2: Collect real-time spare parts demand information, and conduct inventory optimization analysis based on production and supply according to the spare parts inventory management digital twin model to generate inventory management optimization analysis data.

[0050] Collect real-time parts demand information, and conduct inventory optimization analysis based on production and supply according to the parts inventory management digital twin model to form inventory management optimization analysis data, including: collecting real-time parts demand information, extracting demand information of different parts, and forming real-time parts demand change data; conducting inventory optimization analysis according to real-time parts demand change data and combining the parts inventory management digital twin model to form inventory management optimization analysis data.

[0051] The data twin model for parts inventory management can analyze the current inventory matching of parts demand. This matching is achieved by using the supply and demand change data provided by the digital twin model to determine whether the current inventory level meets demand and ensures reasonable cost control.

[0052] Collect real-time parts demand information, extract demand information of different parts, and form real-time parts demand change data, including: extracting the real-time demand change relationship of different parts of different demand parties within the real-time analysis cycle based on real-time parts demand information According to the real-time demand change relationship of the same object accessories corresponding to different demand parties Determine the change relationship V of total demand for different accessories n (t), where

[0053] It should be noted that since the collection of real-time parts demand information is a relatively short period of time for analysis, but the inventory and demand changes of parts show obvious time characteristics, it is necessary to establish supply and demand change data in the corresponding time period when extracting real-time parts demand changes, so as to provide a reasonable and correct reference for the subsequent use of digital twin models to conduct data comparison and analysis in the corresponding time period.

[0054] Based on the real-time parts demand change data and combined with the parts inventory management digital twin model, inventory optimization analysis is performed to form inventory management optimization analysis data, including: extracting the model mapping parts inventory change relationship W for different parts in the time period corresponding to the real-time analysis cycle based on the parts inventory management digital twin model. n (t); For different accessories, according to the corresponding total demand for accessories, the relationship V n (t) and model mapping accessory inventory change relationship W n (t) Conduct inventory optimization analysis to generate accessory inventory optimization information corresponding to different accessories; aggregate accessory inventory optimization information corresponding to different accessories to generate inventory management optimization analysis data.

[0055] To analyze real-time changes in parts demand and optimize inventory based on actual demand, the supply and demand relationships in the digital twin model must be used to determine whether inventory management should continue according to the supply and demand relationships in the digital twin model. To ensure comparability of the matching relationship data extracted from the digital twin model, the extracted data is also selected for the corresponding time period, thereby ensuring the accuracy of the matching and comparative analysis.

[0056] For different accessories, according to the corresponding total demand for accessories, the relationship V n(t) and model mapping accessory inventory change relationship W n (t) Carry out inventory optimization analysis to form the corresponding parts inventory optimization information for different parts, including: for different parts, according to the corresponding total parts demand change relationship V n (t) and model mapping accessory inventory change relationship W n (t), the following analysis is performed: If Max[W n (t)]≤Min[V n (t)], then the current inventory quantity of accessories remains unchanged, where Max[W n (t)] represents the extraction model mapping accessory inventory change relationship W n (t) The maximum value within the real-time analysis period, Min[V n (t)] represents the change relationship of the total demand for accessories V n (t) The minimum value within the real-time analysis period; if Max[W n (t)]>Min[V n (t)], and Then determine the real-time change rate R of the accessories n , and according to the real-time change rate R of the accessories n , determine the inventory change rate F' at the corresponding time point n (t)-R n , where β n represents the real-time analysis bias threshold corresponding to the accessory numbered n, and β n ≥0, F′ n (t) represents the historical inventory change relationship of accessories F n (t) The first derivative with respect to time, T cur Indicates any time duration within the real-time analysis period, E n (t) represents the change in total demand for accessories V n (t) and model mapping accessory inventory change relationship W n (t) The difference at the corresponding time point; if Max[W n (t)]>Min[V n (t)], and Then determine the real-time change rate R of the accessories n , and according to the real-time change rate R of the accessories n , determine the inventory change rate F' at the corresponding time point n (t)+R n ; If Max[W n (t)]>Min[V n (t)], and This forms the information that the current inventory quantity of accessories remains unchanged.

[0057] If the real-time parts demand is consistent with the supply and demand matching data in the digital twin model, then the parts demand quantity is synergistic with the inventory change relationship in terms of both quantity and change during the real-time analysis cycle. Regarding quantitative synergy, the most direct way to determine it is whether the real-time parts demand and inventory demand have possible overlap. This is determined by comparing the maximum value of the real-time parts demand with the minimum value of the inventory supply and demand relationship provided by the digital twin model. When the maximum value of the real-time parts demand does not exceed the minimum value of the inventory supply and demand relationship provided by the digital twin model, it can be considered that the current inventory of the real-time parts demand is sufficient to meet the real-time parts demand, and there is no need to increase the parts inventory based on the supply and demand relationship of the digital twin model in the short term. When the maximum value of the real-time parts demand is greater than the minimum value of the inventory supply and demand relationship provided by the digital twin model, it can be considered that the real-time parts demand has the potential to match the inventory supply and demand relationship provided by the digital twin model in terms of quantity. Then, by determining the gap between the two relationships, the inventory change relationship can be adjusted. If the difference between real-time parts demand and the inventory provided by the digital twin model changes continuously and exceeds the judgment threshold, it indicates that the inventory has changed significantly and needs to be reduced. Control the inventory by focusing on the rate of change. If the difference between real-time parts demand and the inventory provided by the digital twin model changes continuously and does not exceed the judgment threshold, it indicates that the inventory has changed slightly and the current inventory is controllable. No reduction is required and the original inventory supply can be maintained.

[0058] S3: Optimize and adjust the accessories inventory management digital twin model based on the inventory management optimization analysis data to form an accessories inventory optimization management model.

[0059] After obtaining the inventory management optimization analysis data, the supply and demand matching relationship of the digital twin model can be adjusted based on the data to ensure a reasonable inventory level.

[0060] The present invention also provides an automobile parts inventory management system based on digital twins, which includes a data acquisition unit for collecting historical inventory supply and demand change data; a digital twin unit for obtaining the historical inventory supply and demand change data collected by the data acquisition unit, performing digital twinning of the parts inventory change model, and establishing a parts inventory management digital twin model; an optimization analysis unit for collecting real-time parts demand information, and performing inventory optimization analysis based on production and supply according to the parts inventory management digital twin model to form inventory management optimization analysis data.

[0061] 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 rationally 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.

[0062] In summary, the digital twin-based automotive parts inventory management method and system provided by the embodiments of the present invention have the following beneficial effects:

[0063] This method combines historical inventory supply and demand change data for digital twinning to establish a digital twin model for spare parts inventory management. Then, based on the data twin model, reasonable inventory optimization and adjustment are made according to real-time spare parts demand, thereby ensuring that the inventory level 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.

[0064] 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 rationally 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.

[0065] In the embodiments of the present application, descriptions such as "when...", "in the case of...", "if" and "if" all mean that the device will perform corresponding processing under certain objective circumstances. It does not limit the time, nor does it require the device to perform judgment actions when implemented, nor does it mean that there are other limitations.

[0066] In the description of the embodiments of the present application, unless otherwise specified, " / " indicates that the objects associated with each other are in an "or" relationship. For example, A / B can represent A or B. "And / or" in the embodiments of the present application is only 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 at the same time, and B exists alone. A and B can be singular or plural. In addition, in the description of the embodiments of the present application, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. In addition, in order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with basically the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit differences. 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 described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0067] 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 program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (such as infrared, wireless, microwave, etc.) method. 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 available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0068] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0069] In this application, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0070] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0071] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0072] Those skilled in the art will 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 aforementioned method embodiments and will not be repeated here.

[0073] In the 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 schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

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

[0075] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0076] If the 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 the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0077] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for automobile parts inventory management based on digital twins, characterized in that: include: Obtain historical inventory supply and demand change data, conduct a digital twin of the parts inventory change model, and establish a digital twin model for parts inventory management; Collect real-time parts demand information and conduct inventory optimization analysis based on production and supply based on the parts inventory management digital twin model to generate 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 development of a digital twin of the parts inventory change model, and the establishment of a digital twin model for parts inventory management include: Obtaining the historical inventory supply and demand change data, performing supply and demand consistency analysis, and generating consistent supply and demand change data; Based on the consistent supply and demand change data, a digital twin of the accessories inventory change model is created to establish a digital twin model for accessories inventory management.

2. The automotive parts inventory management method based on digital twins according to claim 1 is characterized in that: 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 F of different accessories corresponding to the analysis period n (t), n represents the number of different accessories; According to the historical inventory supply and demand change data, the historical demand change relationship of the target accessories for different accessories by different demand parties during the analysis period is extracted. m represents the number of different demanders; According to the historical demand change relationship of the object accessories for different accessories by different demand parties Determine the historical demand change relationship H of different accessories respectively n (t), where According to the historical inventory change relationship F of the accessories corresponding to different accessories n (t) and the corresponding accessory historical demand change relationship H of different accessories n (t) Conducting supply and demand consistency analysis to generate the consistent supply and demand change data.

3. The automotive parts inventory management method based on digital twins according to claim 2 is characterized in that: The historical inventory change relationship F of the accessories corresponding to different accessories n (t) and the corresponding accessory historical demand change relationship H of different accessories n (t) Conducting supply and demand consistency analysis to generate consistent supply and demand change data, including: For different accessories, according to the corresponding accessories historical inventory change relationship F n (t) and the corresponding accessory historical demand change relationship H n (t), perform continuous integration within the analysis period, and perform the following comparative analysis: like Then the historical inventory change relationship F of the accessories is not n (t) is adjusted, where T con Indicates that in [0, T all ] any duration within the range, T all represents the total duration of the analysis period, α n Indicates the supply-demand deviation threshold corresponding to the accessory numbered n; like According to the accessory historical demand change relationship H m (t), determine the consistency adjustment function U n (t), where U n (t) = H n (t)-a, and the consistency adjustment function U n (t) Satisfaction a represents the consistency adjustment coefficient; Use the consistency adjustment function U n (t) Replace the accessory historical inventory change relationship F n (t) to form the new accessory history inventory change relationship F n (t).

4. The automobile parts inventory management method based on digital twin according to claim 3 is characterized in that: The digital twin of the parts inventory change model is performed based on the consistent supply and demand change data to establish a parts inventory management digital twin model, including: Based on the consistent supply and demand change data, with the analysis period as the time span, a digital twin of the parts inventory changes is performed in the order of the time dimension to establish the parts inventory management digital twin model.

5. The automobile parts inventory management method based on digital twin according to claim 4 is characterized in that: The real-time parts demand information is collected, and an inventory optimization analysis based on production supply is performed according to the parts inventory management digital twin model to form inventory management optimization analysis data, including: Collect real-time parts demand information, extract demand information for different parts, and form real-time parts demand change data; Based on the real-time parts demand change data and in combination with the parts inventory management digital twin model, inventory optimization analysis is performed to form the inventory management optimization analysis data.

6. The automobile parts inventory management method based on digital twin according to claim 5 is characterized in that: The collecting of real-time parts demand information, extracting demand information of different parts, and forming real-time parts demand change data include: According to the real-time parts demand information, extract the real-time demand change relationship of different parts for different demand parties within the real-time analysis cycle According to the real-time demand change relationship of the same object accessories corresponding to different demand parties Determine the change relationship V of total demand for different accessories n (t), where 7. The automobile parts inventory management method based on digital twin according to claim 6 is characterized in that: The inventory optimization analysis is performed based on the real-time parts demand change data and in combination with the parts inventory management digital twin model to form the inventory management optimization analysis data, including: According to the accessories inventory management digital twin model, the model mapping accessories inventory change relationship W of different accessories in the time period corresponding to the real-time analysis cycle is extracted. n (t); For different accessories, according to the corresponding total demand change relationship V n (t) and the model mapping accessory inventory change relationship W n (t) Conducting inventory optimization analysis to generate optimized inventory information for different parts; The accessory inventory optimization information corresponding to different accessories is collected to form the inventory management optimization analysis data.

8. The automobile parts inventory management method based on digital twin according to claim 7 is characterized in that: For different accessories, the total demand change relationship V of the corresponding accessories is n (t) and the model mapping accessory inventory change relationship W n (t) Conduct inventory optimization analysis to generate optimized inventory information for different parts, including: For different accessories, according to the corresponding total demand change relationship V n (t) and the model mapping accessory inventory change relationship W n (t), the following analysis is performed: If Max[W n (t)]≤Min[V n (t)], then the current inventory quantity of accessories remains unchanged, where Max[W n (t)] represents the extraction of the model mapping accessory inventory change relationship W n (t) The maximum value within the real-time analysis period, Min[V n (t)] represents the extraction of the total demand change relationship V of the accessories n (t) a minimum value within the real-time analysis period; If Max[w n (t)]>Min[V n (t)], and Then determine the real-time change rate R of the accessories n , and according to the real-time change rate R of the accessories n , determine the inventory change rate F at the corresponding time point n ′ (t)-R n , where β n represents the real-time analysis bias threshold corresponding to the accessory numbered n, and β n ≥0, F n ′ (t) represents the historical inventory change relationship of the accessories F n (t) The first derivative with respect to time, T cur represents any time duration within the real-time analysis period, E n (t) represents the change relationship of the total demand for accessories V n (t) and the model mapping accessory inventory change relationship W n (t) the difference at the corresponding time points; If Max[W n (t)]>Min[V n (t)], and Then determine the real-time change rate R of the accessories n , and according to the real-time change rate R of the accessories n , determine the inventory change rate F at the corresponding time point n ′ (t)+R n ; If Max[W n (t)]>Min[V n (t)], and This forms the information that the current inventory quantity of accessories remains unchanged.

9. An automobile parts inventory management system based on digital twins, characterized by: include: Data collection unit, used to collect historical inventory supply and demand change data; A digital twin unit is used to obtain the historical inventory supply and demand change data collected by the data collection unit, perform digital twinning of the parts inventory change model, and establish a parts inventory management digital twin model; The optimization analysis unit is used to collect real-time parts demand information, and perform inventory optimization analysis based on production and supply according to the parts inventory management digital twin model to form inventory management optimization analysis data.

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