Automobile part inventory management method and system based on digital twinning

Abstract

The invention provides an automobile spare part inventory management method and system 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

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 an automobile parts inventory management method based on digital twins, comprising: obtaining historical inventory supply and demand change data, performing digital twins 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.

[0008] 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 the 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.

[0009] As a possible implementation method, historical inventory supply and demand change data is obtained, a digital twin of the spare parts inventory change model is constructed, and a digital twin model for spare parts 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 spare parts inventory change model is constructed, and a digital twin model for spare parts inventory management is established.

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

[0011] 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, the historical inventory change relationship of the accessories corresponding to different accessories within the analysis period is extracted. , 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 accessories for different demand parties during the analysis period , m represents the number of different demand parties; according to different demands for different accessories, the historical demand change relationship of the object accessories , respectively determine the historical demand change relationship of different accessories ,in, ; According to the historical inventory change relationship of different accessories The relationship between the historical demand changes of different accessories and the corresponding accessories , conduct supply and demand consistency analysis and form consistent supply and demand change data.

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

[0013] As a possible implementation method, according to the historical inventory change relationship of different accessories The relationship between the historical demand changes of different accessories and the corresponding accessories , 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 Relationship between historical demand changes and corresponding accessories , perform continuous integration within the analysis period, and perform the following comparative analysis: , then the historical inventory change relationship of the accessories will not be Make adjustments, including Indicates that in [0, ] for any duration within the range, Indicates the total duration of the analysis cycle, Indicates the supply-demand deviation threshold corresponding to the accessory numbered n; if , then according to the historical demand change relationship of accessories , determine the consistency adjustment function ,in, , and the consistency adjustment function satisfy , Represents the consistency adjustment coefficient; using the consistency adjustment function Replacement parts historical inventory change relationship The original change relationship forms a new accessory historical inventory change relationship .

[0014] In the present invention, the ideal supply and demand matching relationship should be that the inventory changes synchronously with the demand change. Considering that the determination of inventory in actual situations will also involve spare parts, production cycles, etc., there are certain differences between the inventory changes of accessories and the demand changes. Such differences are reasonable and acceptable and belong to the category of supply and demand matching consistency. If the inventory changes do not match the demand changes, the difference between the inventory changes and the demand changes will increase. Therefore, it is reasonable to determine the basis for analyzing the consistency of the supply and demand change relationship by determining a reasonable difference judgment threshold for different accessories. The supply and demand deviation threshold can be set according to actual conditions or determined based on big data analysis. For situations where the difference does not exceed the supply and demand deviation threshold, it can be determined that the inventory changes and the demand changes are synchronously matched. For situations where the difference exceeds the supply and demand deviation threshold, it is considered that there is a certain interference in the inventory changes, and the matching degree needs to be adjusted. Here, by taking the supply and demand deviation threshold as a reference and the rate of change of the inventory change as a guide, a new inventory change is adjusted, that is, the inventory is reasonably increased or reduced in the time dimension to ensure that the maximum difference accumulation in the entire cycle can only reach the supply and demand deviation threshold.

[0015] As a possible implementation method, a digital twin of the parts inventory change model is created based on consistent supply and demand change data, 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.

[0016] In the present invention, 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.

[0017] 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 performed 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 performed in combination with the parts inventory management digital twin model to form inventory management optimization analysis data.

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

[0019] 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 according to 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 of total demand for different accessories ,in, .

[0020] 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 for 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.

[0021] As a possible implementation method, inventory optimization analysis is performed based on real-time parts demand change data and in combination with the parts inventory management digital twin model to form inventory management optimization analysis data, including: extracting the model mapping parts inventory change relationship of different parts in the time period corresponding to the real-time analysis cycle based on the parts inventory management digital twin model ; For different accessories, according to the corresponding total demand for accessories Mapping the relationship between parts inventory changes and models Conduct inventory optimization analysis to form accessories inventory optimization information corresponding to different accessories; collect accessories inventory optimization information corresponding to different accessories to form inventory management optimization analysis data.

[0022] In the present invention, in order to optimize and adjust the inventory situation based on the actual demand for real-time parts demand change data, it is also necessary to use the supply and demand relationship of the digital twin model to determine whether the inventory management is still carried out 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 extracted in the digital twin model comparable, the relationship data in the corresponding time period is also selected when extracting data, thereby ensuring the correctness of the matching comparison analysis.

[0023] As a possible implementation method, for different accessories, the relationship between the total demand for the corresponding accessories changes Mapping the relationship between parts inventory changes and models 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 Mapping the relationship between parts inventory changes and models , the following analysis is performed: If , then the current inventory quantity of accessories remains unchanged, where Represents the extraction model mapping accessory inventory change relationship The maximum value within the real-time analysis period, Represents the change relationship of total demand for extracted accessories The minimum value within the real-time analysis period; if > ,and > , then determine the real-time change rate of the accessories , and according to the real-time change rate of accessories , determine the inventory change rate at the corresponding time point ,in, represents the real-time analysis bias threshold corresponding to the accessory numbered n, and ≥0, Indicates the historical inventory change relationship of accessories The first derivative with respect to time, Represents any length of time within the real-time analysis period. Represents the change relationship of total demand for accessories Mapping the relationship between parts inventory changes and models The difference at the corresponding time points; if > ,and < , then determine the real-time change rate of the accessories , and according to the real-time change rate of accessories , determine the inventory change rate at the corresponding time point ;like > ,and ≤ ≤ , then the current inventory quantity of accessories remains unchanged.

[0024] In the present invention, if the real-time demand for parts is compatible with the supply and demand matching data in the digital twin model, then the quantity of parts demand is coordinated with the inventory change relationship in both quantity and change during the real-time analysis cycle. For the synergy in quantity, the direct judgment method is that the real-time demand for parts and the inventory demand have possible overlap. Here, the maximum value of the real-time demand for parts is compared 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 demand for parts 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 demand for parts is sufficient to meet the demand, and there is no need to increase the inventory of parts based on the supply and demand relationship of the digital twin model in the short term. When the maximum value of the real-time demand for parts 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 demand for parts may match the inventory supply and demand relationship provided by the digital twin model in quantity, and then the difference between the two relationships is determined to adjust whether the inventory change relationship is adjusted. If the difference between the real-time demand for parts and the inventory provided by the digital twin model changes continuously and exceeds the judgment threshold, it means that the inventory has changed too much and needs to be reduced. The inventory should be controlled from the change rate. If the difference between the real-time demand for parts and the inventory provided by the digital twin model changes continuously and does not exceed the judgment threshold, it means that the inventory has not changed much and the current inventory is controllable. There is no need to reduce it and the original inventory supply can be maintained.

[0025] In the second aspect, the present invention provides an automobile parts inventory management system based on digital twin, including: a data acquisition 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 acquisition unit, perform digital twin of the parts inventory change model, and establish a parts inventory management digital twin model; an optimization analysis unit, used to collect real-time parts demand information, and according to the parts inventory management digital twin model, perform inventory optimization analysis based on production and supply to form inventory management optimization analysis data.

[0026] In the present invention, the system is configured as a complete system that can utilize 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.

[0027] The beneficial effects of the automobile parts inventory management method and system based on digital twin provided by the present invention are as follows: 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.

[0028] 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

[0029] 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.

[0030] Figure 1 A step diagram of an automobile parts inventory management method based on digital twins provided in an embodiment of the present invention; 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; 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

[0031] 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.

[0032] 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.

[0033] 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.

[0034] refer to Figure 1~Figure 3 The embodiment of the present invention provides an automobile parts inventory management method based on digital twins. The method performs digital twinning by combining historical inventory supply and demand change data to establish a digital twin model for parts inventory management, and then performs reasonable inventory optimization and adjustment based on the real-time parts demand based on the data twin model, 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 rate and adverse effects on inventory cost control caused by unreasonable inventory backlogs.

[0035] The automotive parts inventory management method based on digital twins specifically includes the following steps: S1: 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.

[0036] Obtain historical inventory supply and demand change data, conduct a digital twin of the spare parts inventory change model, and establish a digital twin model for spare 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 spare parts inventory change model, and establish a digital twin model for spare parts inventory management.

[0037] To establish a reasonable digital twin model for spare parts inventory management, we first need to determine whether the historical inventory supply and demand change data correctly reflects the matching relationship between inventory supply and spare parts demand. Therefore, it is necessary to extract the inventory change data and demand change data for consistency analysis. Through consistency analysis, we can verify the matching degree between inventory change data and demand change data and adjust the data that cannot be reasonably matched to ensure that the data can truly reflect the changes in supply and demand.

[0038] Obtain historical inventory supply and demand change data, conduct supply and demand consistency analysis, and form consistent supply and demand change data, including: Based on historical inventory supply and demand change data, extract the historical inventory change relationship of different parts corresponding to different parts within the analysis period , 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 accessories for different demand parties during the analysis period , m represents the number of different demand parties; according to different demands for different accessories, the historical demand change relationship of the object accessories , respectively determine the historical demand change relationship of different accessories ,in, ; According to the historical inventory change relationship of different accessories The relationship between the historical demand changes of different accessories and the corresponding accessories , conduct supply and demand consistency analysis and form consistent supply and demand change data.

[0039] For consistency analysis, it is understandable that there is a certain periodicity in the demand for accessories and inventory changes based on the operating rules of the industry. Therefore, when conducting consistency analysis, this periodicity can be used as the time scope of analysis, and on this basis, the supply and demand matching relationship in the entire cycle can be reflected. Of course, since the demand for different accessories is different, the consistency analysis is also based on the type of accessories to make a matching judgment on the supply and demand change data of different accessories.

[0040] According to the historical inventory change relationship of different accessories The relationship between the historical demand changes of different accessories and the corresponding accessories , 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 Relationship between historical demand changes and corresponding accessories , perform continuous integration within the analysis period, and perform the following comparative analysis: , then the historical inventory change relationship of the accessories will not be Make adjustments, including Indicates that in [0, ] for any duration within the range, Indicates the total duration of the analysis cycle, Indicates the supply-demand deviation threshold corresponding to the accessory numbered n; if , then according to the historical demand change relationship of accessories , determine the consistency adjustment function ,in, , and the consistency adjustment function satisfy , Represents the consistency adjustment coefficient; using the consistency adjustment function Replacement parts historical inventory change relationship The original change relationship forms a new accessory historical inventory change relationship .

[0041] The ideal supply-demand matching relationship should be that the inventory changes synchronously with the demand change. Considering that the determination of inventory in actual situations also involves spare parts, production cycles, etc., there are certain differences between the inventory changes of accessories and the demand changes. Such differences are reasonable and acceptable and belong to the category of supply-demand matching consistency. If the inventory changes do not match the demand changes, the difference between the inventory changes and the demand changes will increase. Therefore, it is reasonable to determine a reasonable difference judgment threshold for different accessories to analyze the consistency of the supply-demand change relationship. The supply-demand deviation threshold can be set according to actual conditions or determined based on big data analysis. For cases where the difference does not exceed the supply-demand deviation threshold, it can be determined that the inventory changes and demand changes are synchronously matched. For cases where the difference exceeds the supply-demand deviation threshold, it is considered that there is a certain interference in the inventory changes, and the matching degree needs to be adjusted. Here, by taking the supply-demand deviation threshold as a reference and the rate of change of inventory changes as a guide, a new inventory change is adjusted, that is, the inventory is reasonably increased or decreased in the time dimension to ensure that the maximum difference accumulation in the entire cycle can only reach the supply-demand deviation threshold.

[0042] Based on the consistent supply and demand change data, a digital twin of the spare parts inventory change model is created, and a digital twin model for spare 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 spare parts inventory change is created in the order of the time dimension, and a digital twin model for spare parts inventory management is established.

[0043] 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.

[0044] 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 form inventory management optimization analysis data.

[0045] 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 with the parts inventory management digital twin model to form inventory management optimization analysis data.

[0046] The data twin model of spare parts inventory management can analyze the inventory matching situation of the current spare 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 ensure reasonable cost control.

[0047] Collect real-time parts demand information, extract demand information of different parts, and form real-time parts demand change data, including: extract the real-time demand change relationship of different parts of different demand parties within the real-time analysis cycle according to 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 of total demand for different accessories ,in, .

[0048] 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. This provides a reasonable and correct reference for the subsequent use of the digital twin model for data comparison and analysis in the corresponding time period.

[0049] Based on the real-time data on changes in spare parts demand, combined with the digital twin model of spare parts inventory management, inventory optimization analysis is performed to form inventory management optimization analysis data, including: based on the digital twin model of spare parts inventory management, the model mapping of spare parts inventory change relationships for different spare parts in the time period corresponding to the real-time analysis cycle is extracted ; For different accessories, according to the corresponding total demand for accessories Mapping the relationship between parts inventory changes and models Conduct inventory optimization analysis to form accessories inventory optimization information corresponding to different accessories; collect accessories inventory optimization information corresponding to different accessories to form inventory management optimization analysis data.

[0050] To optimize and adjust the inventory situation based on the actual demand for real-time parts demand change data, it is also necessary to use the supply and demand relationship of the digital twin model to determine whether to manage the inventory in accordance with the supply and demand relationship of the digital twin model under the actual demand situation. Here, in order to make the matching relationship data extracted in the digital twin model comparable, the relationship data in the corresponding time period is also selected when extracting data, thereby ensuring the correctness of the matching comparison analysis.

[0051] For different accessories, the relationship between the total demand for corresponding accessories changes Mapping the relationship between parts inventory changes and models 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 Mapping the relationship between parts inventory changes and models , the following analysis is performed: If , then the current inventory quantity of accessories remains unchanged, where Represents the extraction model mapping accessory inventory change relationship The maximum value within the real-time analysis period, Represents the change relationship of total demand for extracted accessories The minimum value within the real-time analysis period; if > ,and > , then determine the real-time change rate of the accessories , and according to the real-time change rate of accessories , determine the inventory change rate at the corresponding time point ,in, represents the real-time analysis bias threshold corresponding to the accessory numbered n, and ≥0, Indicates the historical inventory change relationship of accessories The first derivative with respect to time, Represents any length of time within the real-time analysis period. Represents the change relationship of total demand for accessories Mapping the relationship between parts inventory changes and models The difference at the corresponding time points; if > ,and < , then determine the real-time change rate of the accessories , and according to the real-time change rate of accessories , determine the inventory change rate at the corresponding time point ;like > ,and ≤ ≤ , then the current inventory quantity of accessories remains unchanged.

[0052] If the real-time demand for parts is compatible with the supply and demand matching data in the digital twin model, then the quantity of parts demand is coordinated with the inventory change relationship in both quantity and change during the real-time analysis cycle. For the synergy in quantity, the direct judgment method is that the real-time demand for parts and the inventory demand may overlap. Here, the maximum value of the real-time demand for parts is compared 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 demand for parts 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 demand for parts is sufficient to meet the demand, and there is no need to increase the inventory of parts based on the supply and demand relationship of the digital twin model in the short term. When the maximum value of the real-time demand for parts 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 demand for parts may match the inventory supply and demand relationship provided by the digital twin model in quantity, and then the difference between the two relationships is determined to adjust whether the inventory change relationship is adjusted. If the difference between the real-time demand for parts and the inventory provided by the digital twin model changes continuously and exceeds the judgment threshold, it means that the inventory has changed too much and needs to be reduced. The inventory should be controlled from the change rate. If the difference between the real-time demand for parts and the inventory provided by the digital twin model changes continuously and does not exceed the judgment threshold, it means that the inventory has not changed much and the current inventory is controllable. There is no need to reduce it and the original inventory supply can be maintained.

[0053] 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.

[0054] 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.

[0055] 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 acquiring 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.

[0056] 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.

[0057] In summary, the automobile parts inventory management method and system based on digital twins provided by the embodiments of the present invention have the following beneficial effects: 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.

[0058] 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.

[0059] In the embodiments of the present application, descriptions such as "when...", "in the case of...", "if" and "if" all mean that the device will make corresponding processing under certain objective circumstances. It does not limit the time, nor does it require the device to have a judgment action when implementing it, nor does it mean that there are other limitations.

[0060] 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 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. These three situations, where 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 items 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, c can be single or multiple. In addition, in order to facilitate the clear description of the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first" and "second" are used to distinguish the same or similar items with basically the same functions and effects. Those skilled in the art will appreciate 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 the difference. 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 designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0061] 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 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 by wired (such as infrared, wireless, microwave, etc.). 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 hard disk.

[0062] It should be understood that the term "and / or" in this article is only a description of the association relationship of 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, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0063] 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 items 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 multiple.

[0064] 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.

[0065] Those of ordinary skill 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 to be beyond the scope of this application.

[0066] 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 aforementioned method embodiments and will not be repeated here.

[0067] In the several embodiments provided in the present 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 only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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.

[0068] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0069] 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.

[0070] 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 can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0071] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on 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; The accessories inventory management digital twin model is optimized and adjusted according to the inventory management optimization analysis data to form an accessories inventory optimization management model.

2. The automotive parts inventory management method based on digital twins according to claim 1 is characterized in that: 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 accessories inventory change model is created to establish a digital twin model for accessories inventory management.

3. The automotive parts inventory management method based on digital twins according to claim 2 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 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; The relationship between the historical demand changes of the object accessories according to different needs 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 , conduct supply and demand consistency analysis to form the consistent supply and demand change data.

4. The automotive parts inventory management method based on digital twins according to claim 3 is characterized in that: 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; Using 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 .

5. The automotive parts inventory management method based on digital twins according to claim 4 is characterized in that: The method of performing a digital twin of the parts inventory change model based on the consistent supply and demand change data and establishing a parts inventory management digital twin model includes: According to the consistent supply and demand change data, taking the analysis period as the time span, a digital twin of the changes in the spare parts inventory is performed in sequence of the time dimension to establish the spare parts inventory management digital twin model.

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

7. The automotive parts inventory management method based on digital twins according to claim 6 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, the real-time demand change relationship of different parts of different demand parties in the real-time analysis cycle is extracted. ; According to the real-time demand change relationship of the same object accessories corresponding to different demand parties , determine the change relationship of total demand for different accessories ,in, .

8. The automotive parts inventory management method based on digital twins according to claim 7 is characterized in that: The inventory optimization analysis is performed based on the real-time accessory demand change data and in combination with the accessory inventory management digital twin model to form the inventory management optimization analysis data, including: According to the digital twin model of spare parts inventory management, the model mapping spare parts inventory change relationship of different spare parts in the time period corresponding to the real-time analysis cycle is extracted ; For different accessories, according to the corresponding total demand change relationship of the accessories Mapping the model to the relationship between the parts inventory changes Conduct inventory optimization analysis to generate spare parts inventory optimization information corresponding to different spare parts; The accessory inventory optimization information corresponding to different accessories is collected to form the inventory management optimization analysis data.

9. The automotive parts inventory management method based on digital twins according to claim 8 is characterized in that: For different accessories, the total demand for the corresponding accessories changes according to the relationship Mapping the model to the relationship between the parts inventory changes Carry out inventory optimization analysis to form spare parts inventory optimization information corresponding to different spare parts, including: For different accessories, according to the corresponding total demand change relationship of the accessories Mapping the model to the relationship between the parts inventory changes , and conduct the following analysis: like , then the current inventory quantity of accessories remains unchanged, where Indicates the extraction of the model mapping accessory inventory change relationship The maximum value within the real-time analysis period, Indicates the extraction of the total demand change relationship of the accessories a minimum value within the real-time analysis period; like > ,and > , then determine the real-time change rate of the accessories , and according to the real-time change rate of the accessories , determine the inventory change rate at the corresponding time point ,in, represents the real-time analysis bias threshold corresponding to the accessory numbered n, and ≥0, Indicates the historical inventory change relationship of the accessory The first derivative with respect to time, represents any time duration within the real-time analysis period. Represents the total demand change relationship of the accessories Mapping the model to the relationship between the parts inventory changes The difference at corresponding time points; like > ,and < , then determine the real-time change rate of the accessories , and according to the real-time change rate of the accessories , determine the inventory change rate at the corresponding time point ; like > ,and ≤ ≤ , then the current inventory quantity of accessories remains unchanged.

10. 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; 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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