Management method and system for automobile part supply chain

Abstract

The invention discloses an automobile part supply chain management method and system, and relates to the field of automobile service supply chains, and the method comprises the steps: obtaining the consumption of each automobile part, and dividing the consumption into basic parts, consumption parts and vulnerable parts; obtaining automobile historical sales records and automobile scrap records, and processing the automobile historical sales records and the automobile scrap records to obtain the number of automobiles in each automobile after-sales service area; obtaining a maintenance record of each service center, and obtaining the number of automobiles maintained by each service center in the next period according to the maintenance record; the method comprises the following steps: acquiring automobile part reserve of each service center, and constructing a relationship between the automobile part reserve and the automobile maintenance number according to the number of automobiles maintained by each service center in the next period, so as to realize reversing radiation along a route among the service centers by taking a transportation route as a replenishment main line, and realize flexible replenishment of the service centers; the transportation efficiency is improved; and the transportation cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of automobile service supply chain, and in particular to a management method and system for an automobile parts supply chain. Background Art

[0002] The supply chain refers to the network of upstream and downstream businesses involved in the production and distribution process, delivering products or services to end users. This refers to the entire chain from merchant to consumer. The industrial chain and supply chain are the lifeblood of the industrial economy, and a stable and smooth supply chain is crucial to its smooth operation. In auto repair, the auto parts supply chain is a key means of reducing resource waste.

[0003] Auto parts are the components that make up a car and the products that serve it. There are many different types of auto parts. As people's living standards improve, their spending on cars is increasing, and the auto parts market is also growing. In recent years, auto parts manufacturers have also experienced rapid growth.

[0004] When a service station has inventory shortages, it can first try to replenish stocks horizontally from neighboring service stations. If the neighboring service stations are also unable to meet the demand, it can then submit spare parts orders to the automobile manufacturer for vertical replenishment. Horizontal replenishment is the replenishment process between service stations, and vertical replenishment is the process of automobile manufacturers replenishing service stations.

[0005] In terms of transportation route planning, the effectiveness of horizontal replenishment is highly dependent on the inventory status of neighboring service stations. If the surrounding service stations also face inventory shortages, or the required parts are not commonly used in the neighboring service stations, horizontal replenishment will be difficult to implement, and the service stations will still be unable to solve the inventory shortage problem in a timely manner. Vertical replenishment mainly relies on the distribution center to replenish the service centers. When the demand is large or the replenishment frequency is high, the distribution center may face tremendous pressure, resulting in slower replenishment or delivery errors. Summary of the Invention

[0006] In order to solve the above technical problems, a management method and system for an automotive parts supply chain are provided, which solve the above problems of being unable to promptly resolve inventory shortages, slow replenishment speed or delivery errors.

[0007] In order to achieve the above objects, the technical solution adopted by the present invention is: A method for managing an automotive parts supply chain, comprising: Obtain the consumption of each auto part and classify it into basic parts, consumable parts, and wearing parts; Obtain historical car sales and scrapping records and process them to obtain the number of cars in each car after-sales service area; Obtain maintenance records from each service center, and based on the maintenance records, obtain the number of cars repaired by each service center in the next period; Obtain the auto parts reserves of each service center and, based on the number of cars repaired by each service center in the next period, establish a relationship between auto parts reserves and the number of cars repaired; Obtain the relationship between the distances between each service center and the distances between the distribution service centers, and combine it with the relationship between auto parts reserves and the number of auto repairs to obtain the optimal distribution method.

[0008] Preferably, the obtaining of historical automobile sales records and automobile scrapping records and processing thereof to obtain the number of automobiles in each automobile after-sales service area comprises the following steps: Obtain historical car sales records and historical maintenance records of each service center, and process the historical sales records and historical maintenance records; Query the car scrapping records and combine them with historical sales records to obtain the number of cars in each car after-sales service area.

[0009] Preferably, the obtaining of historical automobile sales records and historical maintenance records of each service center and processing of the historical sales records and historical maintenance records includes the following steps: Obtain historical car sales records and historical maintenance records from various service centers; Obtain and mark abnormal data in the historical sales records of automobiles and the historical maintenance records of each service center; Based on the historical sales records and historical maintenance records of the same period in different years, calculate the average sales and average maintenance values of the same period in different years; Interpolate abnormal data using sales mean and maintenance mean; The calculation formulas for the sales mean and maintenance mean are:

[0010]

[0011] Where, is the corresponding sales mean, For the historical sales records of the same period in different years, is the corresponding maintenance mean, These are maintenance records for the same period in different years.

[0012] Preferably, obtaining the maintenance records of each service center and obtaining the number of cars maintained by each service center in the next period based on the maintenance records includes the following steps: Obtain maintenance records from the overall service center; Process maintenance records to obtain maintenance records for different types of vehicles; Process the maintenance records of different types of cars separately to obtain the maintenance times of different types of cars per month; Based on the number of maintenance times for different types of vehicles per month, obtain the average number of maintenance times for different types of vehicles per day; Construct a Poisson distribution model based on the average number of different types of car repairs per day; Obtain the number of different types of car repairs in the next month based on the Poisson distribution model; The formula for calculating the average number of car repairs is:

[0013] Among them, the Poisson distribution probability calculation formula is:

[0014] Where, is the average number of repairs for the corresponding car type, is the number of different types of car repairs in the corresponding month, is the number of days in the corresponding month, k=0,1,2,3…

[0015] Preferably, the step of obtaining the auto parts reserve of each service center and establishing a relationship between the auto parts reserve and the number of cars repaired according to the number of cars repaired by each service center in the next period comprises the following steps: Obtain the repair ratio of different types of auto parts for the same type of cars based on the historical maintenance records of each service center; Process the number of cars repaired by each service center in the next period based on the repair ratio to obtain the required number of different types of auto parts in the next period; Obtain the natural loss rate of different types of auto parts in historical records; Based on the required quantity of different types of auto parts and the natural loss rate, the corresponding first threshold, second threshold, and third threshold are constructed; Obtain the inventory of various types of auto parts in each service center and compare them at the first threshold, the second threshold, and the third threshold.

[0016] Preferably, obtaining the inventory of each type of auto parts in each service center and comparing the inventory with the first threshold, the second threshold, and the third threshold comprises the following steps: Get the current inventory of different types of auto parts in each service center; Obtain the reserve time of each auto part based on historical records; With the reserve time of each auto part as the horizontal axis and the reserve quantity of auto parts as the vertical axis, combined with the types of auto parts, a bar chart is constructed; Obtain the number of parts to be cleaned based on the histogram; Based on the number and type of parts to be cleaned and the current reserve, the total number of valid parts is obtained; Based on the number of basic parts in the total number of valid parts, and comparing with a first threshold; Based on the number of consumable parts in the total number of valid parts, and comparing it with a second threshold; Based on the number of wearing parts in the total number of valid parts, the result is compared with the third threshold.

[0017] Preferably, obtaining the relationship between the distances between service centers and the distances between distribution service centers, and combining the relationship between auto parts reserves and the number of auto repairs to obtain the optimal distribution method includes the following steps: Obtain the specific location information of each service center on the map, and obtain the distance between each service center and the distribution center; Obtaining a comparison relationship between the number of basic parts in the total number of valid parts in each service center and a first threshold; Obtaining the location of a to-be-replenished service center whose quantity of basic parts is less than a first threshold based on the specific location of each service center on the map; Based on the distance between each service center and the distribution center, obtain the service center that is farthest from the distribution center in different directions to be replenished; Construct transportation routes based on the farthest service center to be replenished in different directions; The transportation route is optimized by using the comparative relationship between the number of consumable parts and the second threshold value and the number of wearing parts and the third threshold value in each service center.

[0018] Preferably, optimizing the transportation route by using the comparative relationship between the number of consumable parts and the second threshold value and the number of wearing parts and the third threshold value in each service center includes the following steps: Extracting the comparison relationship between the number of consumable parts and the second threshold value, and the comparison relationship between the number of wearing parts and the third threshold value from the total number of valid parts in each service center; Based on the specific locations of the service centers on the map, the locations of the service centers to be replenished whose consumable parts quantity is less than the second threshold and whose wearing parts quantity is less than the third threshold are respectively obtained; Process the locations of the service centers to be replenished whose quantity of basic parts is less than a first threshold, whose quantity of consumable parts is less than a second threshold, and whose quantity of wearing parts is less than a third threshold, respectively, to obtain inventory information for each service center on the map; Based on the inventory information of each service center, obtain the dual service centers where both consumable parts and wearing parts are in short supply, and compare them with the service centers on the transportation path to obtain the dual service centers that are not on the path; Construct a straight line with the farthest to-be-replenished service center and the distribution center as the two points of the line, and obtain the perpendicular length of the non-path dual service center from the straight line; Take the double service center on the non-path as the origin and the vertical length as the radius to draw a circle to obtain the service center close to the transportation path in the park; If there is no service center in the park, the transportation route must pass through this service center; if there are multiple service centers in the park, the transportation route does not need to pass through this service center.

[0019] Furthermore, a management system for an automobile parts supply chain is proposed to implement the above-mentioned management method for an automobile parts supply chain, comprising: Control module: The control module is used to control its internal data transmission; Data acquisition module: The data acquisition module is used to collect various data required by the system; Data processing module: The data processing module is used to process the data in the system; Positioning module: The positioning module is used to obtain maps and locate each service center; Image analysis module: The image analysis module combines the location of each service center with the data in the system to obtain the transportation route; Power supply module: The power supply module is used to provide power to the system.

[0020] Compared with the prior art, the advantages of the present invention are: the present invention predicts the consumption of auto parts in the next stage by constructing a Poisson distribution model, and combines the current auto parts reserve quantity in each service center to obtain the location and quantity of the service centers to be replenished, and constructs a preliminary transportation route based on the relationship between the distance between each service center and the distance between the distribution service centers. Through the relationship between the auto parts reserve and the number of auto repairs, the transportation route is optimized, and the distribution center replenishes the service centers on the transportation route. At the same time, the service center close to the transportation route transports the excess auto parts inside to the service center far away from the transportation route, realizing the transportation route as the main replenishment line, and radiating along the route between each service center to realize flexible replenishment of the service center, and timely solving the inventory shortage problem, while reducing the replenishment volume and frequency of the distribution center, improving the replenishment speed and reducing delivery errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flowchart of steps S100-S500 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 2 A schematic diagram of the process of steps S201-S202 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 3 A schematic diagram of the process of steps S2011-S2014 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 4 A schematic diagram of the process of steps S301-S306 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 5 A schematic diagram of the process of steps S401-S405 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 6 A schematic diagram of the process of steps S4051-S4058 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 7 A schematic diagram of the process of steps S501-S506 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 8 A schematic diagram of the process of steps S5061-S5067 in a management method and system for an automotive parts supply chain proposed by the present invention; Figure 9 This is a structural block diagram of a management method and system for an automotive parts supply chain proposed by the present invention. DETAILED DESCRIPTION

[0022] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive of other obvious variations.

[0023] Reference Figure 1-9 As shown, a management method for an automobile parts supply chain includes: S100, obtaining the consumption of each automobile component and classifying it into basic parts, consumable parts, and wearing parts; S200: Obtain historical automobile sales records and automobile scrapping records, and process them to obtain the number of automobiles in each automobile after-sales service area; S300, obtaining maintenance records of each service center, and obtaining the number of vehicles repaired by each service center in the next period based on the maintenance records; S400: Obtain the auto parts reserve of each service center, and establish a relationship between the auto parts reserve and the number of cars repaired by each service center in the next period; S500: Obtain the relationship between the distances between service centers and the distances between distribution service centers, and determine the optimal distribution method based on the relationship between auto parts reserves and the number of auto repairs. It is understood by those skilled in the art that, due to the different degrees of wear and tear of different types of parts in each car, the replacement frequency of different types of auto parts is different. Basic parts are usually some major assembly parts that make up the car. Consumable parts refer to parts that need to be replaced due to natural aging or expiration during the operation of the vehicle. Wearing parts refer to parts that are easily worn, aged or damaged during use. The number of cars running on the market can be obtained through the historical sales records and car scrapping records. By processing and analyzing these records, the company can grasp the number of cars running in each auto after-sales service area. After obtaining the maintenance records of each service center, these records can be statistically analyzed to predict the next period of each car. The number of repair vehicles at the service center. By predicting the number of repair vehicles at each service center in the next period, the service center can allocate repair resources more reasonably, including manpower, materials and equipment, and by predicting the number of repair vehicles at each service center in the next period, the expected number of replacement parts can be obtained. Combined with the current parts reserves of each service center, the service center to be replenished can be obtained, and the specific location of the service center to be replenished can be obtained through the map. By obtaining the relationship between the distance between each service center and the distance between the distribution service center, and combined with the specific location of the service center to be replenished, a rough transportation route can be planned, and the transportation route can be optimized through the parts reserves of each service center and the distance relationship between each service center.

[0024] like Figure 2 As shown, obtaining historical car sales records and car scrapping records and processing them to obtain the number of cars in each car after-sales service area includes the following steps: S201, obtaining historical sales records of automobiles and historical maintenance records of various service centers, and processing the historical sales records and historical maintenance records; S202: Query the scrapped car records and, combined with the historical sales records, obtain the number of cars in each car after-sales service area; Those skilled in the art will appreciate that historical car sales records can be obtained from the sales department or relevant databases, containing detailed information such as the car's sales date, model, configuration, and sales region. Historical service center maintenance records can be extracted from the maintenance management system of each service center, including key information such as the maintenance date, car model, maintenance content, and replaced parts. During the storage process, data anomalies may occur due to hard drive failure, database corruption, insufficient storage device capacity, etc., and the abnormal data can be interpolated through processing. Car scrapping records can be obtained from the traffic management department or relevant agencies, containing information such as the car's scrapping date, model, and original sales region. By comparing historical sales records with car scrapping records, the number and information of vehicles sold but not scrapped in the market can be obtained, and the potential market size in the region corresponding to each service center can be determined in turn. Based on the distribution of the number of vehicles, the company can optimize the resource allocation of the service center. At the same time, by combining historical sales records, car maintenance records, and car scrapping records, the company can predict future market development trends, provide data support for long-term planning, and judge future car market growth.

[0025] like Figure 3 As shown, obtaining the historical sales records of automobiles and the historical maintenance records of each service center and processing the historical sales records and historical maintenance records include the following steps: S2011. Obtain historical car sales records and historical maintenance records of each service center; S2012. Obtain abnormal data from the historical sales records of automobiles and the historical maintenance records of each service center and mark them; S2013. Calculate the sales mean and maintenance mean for the same period in different years based on the historical sales records and historical maintenance records for the same period in different years; S2014. Interpolate abnormal data using sales mean and maintenance mean; The calculation formulas for the sales mean and maintenance mean are:

[0026]

[0027] Where, is the corresponding sales mean, For the historical sales records of the same period in different years, is the corresponding maintenance mean, Maintenance records for the same period in different years; It will be understood by those skilled in the art that mean interpolation is a common data interpolation method, which uses the mean of the variable to fill in the missing values. The calculation process of mean interpolation is relatively simple and does not require complex algorithms or models, so it is very quick and convenient to implement. Compared with some other interpolation methods, mean interpolation does not introduce additional variability, thereby reducing the impact of the interpolation process on the data distribution. Mean interpolation is robust, that is, the interpolated value is usually located at the center of the data, so it is not easily affected by outliers, so that mean interpolation can maintain a good interpolation effect even in data sets with outliers. When there are many missing values and more information cannot be obtained, mean interpolation can be used as an effective alternative to reduce the information loss caused by missing values.

[0028] like Figure 4 As shown, obtaining the maintenance records of each service center and obtaining the number of cars repaired by each service center in the next period based on the maintenance records includes the following steps: S301. Obtain maintenance records of the overall service center; S302: Process the maintenance records to obtain maintenance records for different types of vehicles; S303, processing the maintenance records of different types of vehicles respectively to obtain the maintenance times of different types of vehicles per month; S304, obtaining the average number of daily maintenance times for different types of vehicles based on the number of maintenance times for different types of vehicles per month; S305, constructing a Poisson distribution model based on the average number of maintenance times for different types of vehicles per day; S306. Obtain the number of different types of vehicle repairs in the next month based on a Poisson distribution model; The formula for calculating the average number of car repairs is:

[0029] Among them, the Poisson distribution probability calculation formula is:

[0030] Where, is the average number of repairs for the corresponding car type, is the number of different types of car repairs in the corresponding month, is the day of the corresponding month, k=0,1,2,3...; Those skilled in the art will appreciate that, in the field of automobile maintenance, automobile maintenance events can be considered random events, and their occurrence frequency within a certain period of time may follow a Poisson distribution. Obtaining automobile maintenance records from all service centers is intended to obtain a large sample. The original maintenance records are cleaned and organized, and the maintenance records are classified according to vehicle type to form maintenance datasets for different vehicle types. Time series analysis is performed on the maintenance dataset for each vehicle type, and the number of maintenance visits for each vehicle type is counted monthly to form monthly maintenance visit data. The monthly maintenance visit data is further processed to calculate the average daily maintenance visit number for each vehicle type per month to reflect the daily fluctuations in maintenance demand. Based on the average daily maintenance visit data, a Poisson distribution model is constructed for each vehicle type. The constructed Poisson distribution model is used to predict the number of maintenance visits for each vehicle type in the next month. By accurately predicting the number of maintenance visits in the next month, service centers can more rationally arrange their parts reserves, avoid idle or overly strained resources, and improve the utilization efficiency of maintenance resources. Predicting the number of maintenance visits helps service centers understand parts demand in advance, thereby optimizing parts inventory levels, reducing inventory backlogs and stock-out risks, and lowering inventory costs.

[0031] like Figure 5 As shown, obtaining the auto parts reserve of each service center and building a relationship between the auto parts reserve and the number of cars repaired by each service center in the next period includes the following steps: S401. Obtain maintenance ratios of different types of auto parts for the same type of automobile based on historical maintenance records of each service center; S402: Process the number of cars to be repaired by each service center in the next period based on the repair ratio to obtain the required quantity of different types of auto parts in the next period; S403. Obtain natural loss rates of different types of auto parts from historical records; S404: Construct corresponding first, second, and third thresholds based on the required quantity of different types of auto parts and the natural loss rate; S405: Obtain the inventory of various types of auto parts at each service center and compare it with the first threshold, the second threshold, and the third threshold; Those skilled in the art can understand that, when calculating the proportion of each auto part in the maintenance of the same type of cars, that is, the proportion of the number of repairs of this part to the total number of repairs of the same type of cars, during the storage process, some auto parts are piled up for a long time, rendering them unusable, and these parts need to be removed in turn. The first threshold is the sum of the expected number of basic parts required and the number of basic parts lost during transportation, the second threshold is the sum of the expected number of consumable parts required and the number of consumable parts lost during transportation, and the third threshold is the sum of the expected number of wearing parts required and the number of wearing parts lost during transportation. By comparing the reserves of each type of auto parts in each service center with the first threshold, the second threshold and the third threshold, the service center that needs to be replenished is obtained.

[0032] like Figure 6 As shown, obtaining the inventory of various types of auto parts in each service center and comparing them with the first threshold, the second threshold, and the third threshold includes the following steps: S4051. Obtain the current inventory of different types of auto parts in each service center; S4052. Obtaining the reserve time of each automobile component based on historical records; S4053. Construct a histogram with the inventory time of each auto part as the horizontal axis and the inventory quantity of the auto parts as the vertical axis, taking into account the types of auto parts; S4054. Obtain the number of parts to be cleaned based on the histogram; S4055. Obtain the total number of valid parts based on the number and type of parts to be cleaned and the current reserve quantity; S4056: Compare the number of basic parts in the total number of valid parts with the first threshold; S4057: Compare the number of consumable parts in the total number of valid parts with a second threshold; S4058. Compare the number of vulnerable parts in the total number of valid parts with a third threshold; Those skilled in the art will understand that, based on the type of auto parts, by constructing a bar chart, the inventory status and inventory time distribution of different auto parts can be intuitively displayed. The visualization method helps to quickly identify hot spots and cold spots in the inventory, that is, which parts are over-stocked, which are under-stocked, and which parts are in stock for too long, providing an intuitive decision-making basis for subsequent inventory adjustment and optimization; according to the analysis results of the bar chart, it can be determined which auto parts have been in stock for too long or in too large a quantity and need to be cleaned or adjusted, and the parts reserves of basic parts, consumable parts and wearing parts are compared with the first threshold, the second threshold and the third threshold respectively, and the missing status of basic parts, consumable parts and wearing parts of each service center can be obtained.

[0033] like Figure 7 As shown in the figure, obtaining the relationship between the distances between service centers and the distances between distribution service centers, combined with the relationship between auto parts reserves and the number of auto repairs, to obtain the optimal distribution method includes the following steps: S501. Obtain the specific location information of each service center on the map, and obtain the distance between each service center and the distribution center; S502: Obtain a comparison between the number of basic parts in the total number of valid parts in each service center and a first threshold; S503. Obtain the location of a to-be-replenished service center whose quantity of basic parts is less than a first threshold based on the specific location of each service center on the map; S504. Based on the distances between each service center and the distribution center, obtain the service center to be replenished that is farthest from the distribution center in different directions; S505. Constructing transportation routes based on the farthest service centers to be replenished in different directions; S506: Optimize the transportation route by using the comparison between the number of consumable parts and the second threshold value and the number of wearing parts and the third threshold value in each service center; It can be understood by those skilled in the art that obtaining the specific location information of each service center on the map and obtaining the distance between each service center and the distribution center is a step aimed at clarifying the geographical location of each service center and calculating the actual distance between them and the distribution center. By mastering the location information of the service center, distribution resources can be arranged more effectively. Since the consumption of basic parts is the smallest during the normal driving of the car, and basic parts are the most critical to the operation of the car, after determining the service center with insufficient reserves of basic parts, the geographical location information is further used to accurately lock the specific locations of these service centers to be replenished. By comparing the locations of each service center to be replenished, the distribution resources can be arranged more effectively. The distance between the service center and the distribution center can be used to identify the service center that is farthest away in different directions. The transportation route is constructed based on the distribution center and the farthest service center, so that the replenishment range of the transportation route can radiate to a wider range. The transportation of basic parts is the core, and consumable parts and wearing parts are used as auxiliary to supplement and optimize the transportation route. After the initial construction of the transportation route is completed, this step further uses the comparative relationship between the number of consumable parts and wearing parts in the service center and the corresponding threshold to fine-tune the optimization of the transportation route. By considering the urgency and demand of different parts, the transportation order can be adjusted and the replenishment quantity of a specific service center can be increased or decreased.

[0034] like Figure 8 As shown, optimizing the transportation route by using the comparative relationship between the number of consumable parts and the second threshold value and the number of wearing parts and the third threshold value in each service center includes the following steps: S5061. Extract the comparison relationship between the number of consumable parts and the second threshold value, and the comparison relationship between the number of wearing parts and the third threshold value, from the total number of valid parts in each service center; S5062. Based on the specific locations of the service centers on the map, obtain the locations of the service centers to be replenished whose consumable parts quantity is less than the second threshold and whose wearing parts quantity is less than the third threshold; S5063. Process the locations of the service centers to be replenished whose quantity of basic parts is less than a first threshold, whose quantity of consumable parts is less than a second threshold, and whose quantity of wearing parts is less than a third threshold, respectively, to obtain inventory information for each service center on the map. S5064. Based on the inventory information of each service center, obtain the dual service centers where both consumable parts and wearing parts are in short supply, and compare them with the service centers on the transportation path to obtain the non-dual service centers on the path. S5065. Construct a straight line with the farthest to-be-replenished service center and the distribution center as the two points of the straight line, and obtain the perpendicular length of the non-path dual service center from the straight line; S5066. Draw a circle with the double service center on the non-path as the origin and the vertical length as the radius to obtain the service center in the park close to the transportation path; S5067: If there is no service center in the park, the transportation route must pass through this service center; if there are multiple service centers in the park, the transportation route does not need to pass through this service center; Those skilled in the art will appreciate that by comparing the number of consumables and wearing parts in each service center with corresponding thresholds, service centers with insufficient reserves of these two types of parts are identified. After determining the service centers with insufficient reserves of consumables and wearing parts, this step uses geographic location information to accurately locate the specific locations of these service centers to be replenished. This step integrates the location information of the first three types of service centers to be replenished to form a comprehensive inventory information map, identifying service centers that are short of both consumables and wearing parts, namely, dual service centers, and screening out those dual service centers that are not on the current transportation path. By constructing a straight line and calculating the perpendicular length, a quantitative indicator is provided for the relative positional relationship between the off-path dual service centers and the current transportation path. By constructing a circle and finding service centers within the park that are close to the transportation path, the potential impact of incorporating the off-path dual service centers into the transportation path is further evaluated. If there are no other service centers nearby, then to ensure that the off-path dual service center can obtain the required parts in a timely manner, the transportation path needs to pass through the service center. If there are multiple service centers nearby, then its needs can be met through other service centers, eliminating the need to adjust the transportation path.

[0035] like Figure 9As shown, a management system for an automobile parts supply chain is proposed, which is used to implement the above-mentioned management method for the automobile parts supply chain, including: Control module: The control module is used to control its internal data transmission; Data acquisition module: The data acquisition module is used to collect various data required by the system; Data processing module: The data processing module is used to process the data in the system; Positioning module: The positioning module is used to obtain maps and locate each service center; Image analysis module: The image analysis module combines the location of each service center with the data in the system to obtain the transportation route; Power supply module: The power supply module is used to provide power to the system.

[0036] In summary, the advantages of the present invention are: by constructing a Poisson distribution model to predict the consumption of auto parts in the next stage, and combining the current auto parts reserves in each service center, the location and number of service centers to be replenished are obtained, and according to the relationship between the distance between each service center and the distance between the distribution service center, a preliminary transportation route is constructed, and the transportation route is optimized through the relationship between the auto parts reserves and the number of auto repairs, so that the distribution center can replenish each service center on the transportation route, and at the same time, the service center close to the transportation route will transport the excess auto parts inside to the service center far away from the transportation route, so as to realize the transportation route as the main replenishment line, radiate along the route between each service center, realize flexible replenishment of the service center, realize timely solution to the inventory shortage problem, and at the same time reduce the replenishment volume and frequency of the distribution center, improve the replenishment speed and reduce delivery errors.

[0037] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A management method for an automotive parts supply chain, characterized in that: include: Obtain the consumption of each auto part and classify it into basic parts, consumable parts, and wearing parts; Obtain historical car sales and scrapping records and process them to obtain the number of cars in each car after-sales service area; Obtain maintenance records from each service center, and based on the maintenance records, obtain the number of cars repaired by each service center in the next period; Obtain the auto parts reserves of each service center and, based on the number of cars repaired by each service center in the next period, establish a relationship between auto parts reserves and the number of cars repaired; Obtain the relationship between the distances between each service center and the distances between the distribution service centers, and combine it with the relationship between auto parts reserves and the number of auto repairs to obtain the optimal distribution method.

2. The method for managing an automotive parts supply chain according to claim 1, wherein: The process of obtaining historical automobile sales records and automobile scrapping records and processing them to obtain the number of automobiles in each automobile after-sales service area includes the following steps: Obtain historical car sales records and historical maintenance records of each service center, and process the historical sales records and historical maintenance records; Query the car scrapping records and combine them with historical sales records to obtain the number of cars in each car after-sales service area.

3. The method for managing an automotive parts supply chain according to claim 2, wherein: The acquisition of the historical sales records of the automobile and the historical maintenance records of each service center and the processing of the historical sales records and historical maintenance records include the following steps: Obtain historical car sales records and historical maintenance records from various service centers; Obtain and mark abnormal data in the historical sales records of automobiles and the historical maintenance records of each service center; Based on the historical sales records and historical maintenance records of the same period in different years, calculate the average sales and average maintenance values of the same period in different years; Interpolate abnormal data using sales mean and maintenance mean; The calculation formulas for the sales mean and maintenance mean are: ； ； Where, is the corresponding sales mean, For the historical sales records of the same period in different years, is the corresponding maintenance mean, These are maintenance records for the same period in different years.

4. The method for managing an automotive parts supply chain according to claim 1, wherein: The method of obtaining the maintenance records of each service center and obtaining the number of vehicles repaired by each service center in the next period based on the maintenance records includes the following steps: Obtain maintenance records from the overall service center; Process maintenance records to obtain maintenance records for different types of vehicles; Process the maintenance records of different types of cars separately to obtain the maintenance times of different types of cars per month; Based on the number of maintenance times for different types of vehicles per month, obtain the average number of maintenance times for different types of vehicles per day; Construct a Poisson distribution model based on the average number of different types of car repairs per day; Obtain the number of different types of car repairs in the next month based on the Poisson distribution model; The formula for calculating the average number of car repairs is: ； Among them, the Poisson distribution probability calculation formula is: ； Where, is the average number of repairs for the corresponding car type, is the number of different types of car repairs in the corresponding month, is the number of days in the corresponding month, k=0,1,2,3… 5. The method for managing an automotive parts supply chain according to claim 1, wherein: The process of obtaining the auto parts reserve of each service center and establishing a relationship between the auto parts reserve and the number of cars repaired in the next period based on the number of cars repaired by each service center includes the following steps: Obtain the repair ratio of different types of auto parts for the same type of cars based on the historical maintenance records of each service center; Process the number of cars repaired by each service center in the next period based on the repair ratio to obtain the required number of different types of auto parts in the next period; Obtain the natural loss rate of different types of auto parts in historical records; Based on the required quantity of different types of auto parts and the natural loss rate, the corresponding first threshold, second threshold, and third threshold are constructed; Obtain the inventory of various types of auto parts in each service center and compare them at the first threshold, the second threshold, and the third threshold.

6. The method for managing an automotive parts supply chain according to claim 5, characterized in that: The method of obtaining the inventory of each type of auto parts in each service center and comparing the inventory with the first threshold, the second threshold, and the third threshold comprises the following steps: Get the current inventory of different types of auto parts in each service center; Obtain the reserve time of each auto part based on historical records; With the reserve time of each auto part as the horizontal axis and the reserve quantity of auto parts as the vertical axis, combined with the types of auto parts, a bar chart is constructed; Obtain the number of parts to be cleaned based on the histogram; Based on the number and type of parts to be cleaned and the current reserve, the total number of valid parts is obtained; Based on the number of basic parts in the total number of valid parts, and comparing with a first threshold; Based on the number of consumable parts in the total number of valid parts, and comparing it with a second threshold; Based on the number of wearing parts in the total number of valid parts, the result is compared with the third threshold.

7. The method for managing an automotive parts supply chain according to claim 1, wherein: The method of obtaining the relationship between the distances between service centers and the distances between distribution service centers, and combining the relationship between auto parts reserves and the number of auto repairs to obtain the optimal distribution method includes the following steps: Obtain the specific location information of each service center on the map, and obtain the distance between each service center and the distribution center; Obtaining a comparison relationship between the number of basic parts in the total number of valid parts in each service center and a first threshold; Obtaining the location of a to-be-replenished service center whose quantity of basic parts is less than a first threshold based on the specific location of each service center on the map; Based on the distance between each service center and the distribution center, obtain the service center that is farthest from the distribution center in different directions to be replenished; Construct transportation routes based on the farthest service center to be replenished in different directions; The transportation route is optimized by using the comparative relationship between the number of consumable parts and the second threshold value and the number of wearing parts and the third threshold value in each service center.

8. The method for managing an automotive parts supply chain according to claim 7, characterized in that: Optimizing the transportation route by using the comparative relationship between the number of consumable parts and the second threshold value and the number of wearing parts and the third threshold value in each service center includes the following steps: Extracting the comparison relationship between the number of consumable parts and the second threshold value, and the comparison relationship between the number of wearing parts and the third threshold value from the total number of valid parts in each service center; Based on the specific locations of the service centers on the map, the locations of the service centers to be replenished whose consumable parts quantity is less than the second threshold and whose wearing parts quantity is less than the third threshold are respectively obtained; Process the locations of the service centers to be replenished whose quantity of basic parts is less than a first threshold, whose quantity of consumable parts is less than a second threshold, and whose quantity of wearing parts is less than a third threshold, respectively, to obtain inventory information for each service center on the map; Based on the inventory information of each service center, obtain the dual service centers where both consumable parts and wearing parts are in short supply, and compare them with the service centers on the transportation path to obtain the dual service centers that are not on the path; Construct a straight line with the farthest to-be-replenished service center and the distribution center as the two points of the line, and obtain the perpendicular length of the non-path dual service center from the straight line; Take the double service center on the non-path as the origin and the vertical length as the radius to draw a circle to obtain the service center close to the transportation path in the park; If there is no service center in the park, the transportation route must pass through this service center; if there are multiple service centers in the park, the transportation route does not need to pass through this service center.

9. A management system for an automobile parts supply chain, used to implement the management method for an automobile parts supply chain as described in claims 1 to 8, characterized in that: include: Control module: The control module is used to control its internal data transmission; Data acquisition module: The data acquisition module is used to collect various data required by the system; Data processing module: The data processing module is used to process the data in the system; Positioning module: The positioning module is used to obtain maps and locate each service center; Image analysis module: The image analysis module combines the location of each service center with the data in the system to obtain the transportation route; Power supply module: The power supply module is used to provide power to the system.

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