Automobile service process supply chain management method, system and device and storage medium

Abstract

The invention relates to an automobile service process supply chain management method, system and device, and a storage medium, and the method comprises the steps: obtaining vehicle reservation information from an automobile service platform, and carrying out the project analysis, and obtaining vehicle information and maintenance reservation information; designing a vehicle inspection process based on the vehicle information and the maintenance reservation information to obtain a corresponding initial inspection scheme; performing maintenance characteristic matching on the maintenance reservation information according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; performing maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance scheme; and carrying out integration processing on the initial inspection scheme and the initial maintenance scheme to obtain an automobile service scheme. According to the invention, seamless connection from reservation to maintenance can be provided, and the overall quality and efficiency of automobile service are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile services, and in particular to an automobile service process supply chain management method, system, equipment and storage medium. Background Art

[0002] With the continuous increase in the number of cars and the increasing complexity of automobile technology, the automobile service industry is facing greater and greater challenges. Efficient and accurate automobile service process supply chain management has become a key factor in improving customer satisfaction and optimizing service quality. In recent years, with the development of information technology, the application of automobile service platforms has provided new possibilities for improving service efficiency. However, how to make full use of the data resources of these platforms to achieve intelligent management of the entire process from appointment to maintenance is still an important issue facing the industry.

[0003] At present, most automotive service process supply chain management methods tend to focus only on a single link, such as the optimization of the appointment system or the standardization of the maintenance process, while ignoring the organic connection between the various links. This fragmented management method may lead to poor information transmission, unreasonable resource allocation, and even affect the quality of maintenance and customer experience. In addition, existing management methods usually lack in-depth analysis of individual vehicle differences and maintenance characteristics, making it difficult to provide customized solutions for different types of maintenance needs. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, system, device and storage medium for automobile service process supply chain management, which can provide seamless connection from appointment to maintenance, greatly improving the overall quality and efficiency of automobile services.

[0005] To achieve the above object, the present invention provides a method for managing an automobile service process supply chain, comprising: Obtain vehicle reservation information from the automobile service platform and conduct project analysis to obtain vehicle information and maintenance reservation information; Designing a vehicle inspection process based on the vehicle information and the maintenance appointment information to obtain a corresponding initial inspection plan; Matching the maintenance reservation information with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; Performing maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance plan; The initial inspection plan and the initial maintenance plan are integrated to obtain a car service plan.

[0006] Furthermore, the vehicle reservation information is obtained from the automobile service platform, and project analysis is performed to obtain vehicle information and maintenance reservation information, including: Acquire the vehicle reservation information from the automobile service platform, perform principal component analysis on the vehicle reservation information, and obtain a project feature vector; Performing structured recognition on the vehicle reservation information based on the project feature vector to obtain a vehicle identification number and maintenance requirements; Extracting the vehicle reservation information according to the vehicle identification number to obtain the vehicle information including vehicle model, production year and mileage; Keywords are extracted from the vehicle reservation information according to the maintenance demand, and semantic analysis is performed to obtain the maintenance reservation information including maintenance items, urgency and expected completion time.

[0007] Furthermore, the vehicle inspection process is designed based on the vehicle information and the maintenance appointment information to obtain a corresponding initial inspection plan, including: Classify and process the vehicle information to obtain basic vehicle information and historical vehicle maintenance records; Perform a matching query on a preset vehicle model database based on the basic vehicle information to obtain a corresponding vehicle model inspection point list; Extracting keywords from the maintenance appointment information to obtain a maintenance demand keyword set; Screening the vehicle type inspection key points list according to the maintenance requirement keyword set to obtain a preliminary inspection item list; Performing statistical analysis on the historical maintenance records of the vehicle to obtain historical failure frequency data; Prioritizing the preliminary inspection item list according to the historical fault frequency data to obtain an optimized inspection item list; An inspection process analysis is performed on the optimized inspection item list to obtain an initial inspection plan.

[0008] Furthermore, the maintenance feature matching of the maintenance appointment information is performed according to the preset comprehensive automobile database to obtain a corresponding maintenance standard group, including: Extracting keywords from the maintenance appointment information to obtain a maintenance feature word set; Searching the comprehensive automobile database according to the maintenance feature word set to obtain preliminary matching results; Calculating similarity of the preliminary matching results to obtain a similarity sorted list; The similarity sorting list is screened according to a preset similarity threshold to obtain a set of maintenance cases that meet the conditions; Common maintenance features are extracted from the maintenance case set to obtain the maintenance standard group.

[0009] Furthermore, the vehicle reservation information is scheduled for maintenance according to the maintenance standard group to obtain an initial maintenance plan, including: Classifying the vehicle reservation information according to the maintenance item types in the maintenance standard group to obtain multiple maintenance categories; Conduct a priority assessment on each maintenance category to obtain a maintenance priority ranking; Allocating maintenance resources according to the maintenance priority ranking to obtain a preliminary maintenance allocation plan; Performing time planning processing on the preliminary maintenance allocation plan to obtain a maintenance time schedule; Sorting the maintenance processes according to the maintenance time schedule to obtain a process execution order; Performing parallel analysis on the execution sequence of the processes to obtain a process combination; Performing task allocation processing according to the process combination to obtain a work allocation plan; According to the work allocation plan, maintenance tools and equipment are allocated and processed to obtain a tool and equipment use plan; The tool and equipment use plan and the work allocation plan are integrated to obtain an initial maintenance plan.

[0010] Furthermore, the initial inspection plan and the initial maintenance plan are integrated to obtain a car service plan, including: Performing time priority sequence analysis on the initial inspection plan and the initial maintenance plan to obtain a maintenance task time sequence table; Allocate task resources for the maintenance task schedule to obtain a preliminary resource plan; Performing conflict detection on the preliminary resource plan to obtain a conflicting task list; Adjusting the preliminary resource plan according to the conflicting task list to obtain a resource allocation plan; Perform maintenance process analysis on the resource allocation plan to obtain a maintenance workflow plan; Performing a quality assessment on the maintenance workflow plan to obtain a quality assessment report; Optimizing the maintenance workflow plan according to the quality assessment report to obtain an optimized workflow plan; The optimization process plan is associated with the vehicle information to obtain the automobile service plan.

[0011] The present invention also provides an automobile service process supply chain management system, which is applied to any one of the above automobile service process supply chain management methods, comprising: A collection module, which is used to obtain vehicle reservation information from the automobile service platform and perform project analysis to obtain vehicle information and maintenance reservation information; An analysis module, the analysis module is used to design a vehicle inspection process based on the vehicle information and the maintenance appointment information to obtain a corresponding initial inspection plan; An association module, the association module is used to match the maintenance reservation information with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; A processing module, the processing module is used to perform maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance plan; A control module is used to integrate the initial inspection plan and the initial maintenance plan to obtain a car service plan.

[0012] The present invention also provides an automobile service process supply chain management device, comprising: Memory, used to store programs; The processor is used to execute the program to implement each step of any one of the above-mentioned methods for managing the supply chain of automobile service processes.

[0013] The present invention also provides a storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute any of the above methods.

[0014] The present invention provides an automobile service process supply chain management method, system, device and storage medium, which have the following beneficial effects: By analyzing the vehicle reservation information, obtaining vehicle information and maintenance reservation information, a comprehensive data foundation is provided for the subsequent process, which helps to improve the accuracy and efficiency of information transmission. The inspection process is designed based on vehicle information and maintenance appointment information, which realizes the personalized customization of the inspection plan and improves the pertinence and efficiency of the inspection. The maintenance appointment information is matched with the preset comprehensive automobile database to obtain the corresponding maintenance standard group, which ensures the professionalism and standardization of the maintenance plan and effectively improves the maintenance quality. Maintenance scheduling is carried out according to the maintenance standard group, which realizes the reasonable allocation and optimal utilization of resources, improves service efficiency and reduces unnecessary waste of resources. By integrating the initial inspection plan and the initial maintenance plan, a comprehensive automobile service plan is obtained, which realizes the organic combination of various links and ensures the coherence and consistency of the service process. By considering the individual differences of vehicles and maintenance characteristics, customized solutions can be provided for different types of maintenance needs, which improves customer satisfaction. Through the intelligent management of the whole process, seamless connection from appointment to maintenance is achieved, which greatly improves the overall quality and efficiency of automobile services and provides new ideas and methods for the development of the automobile service industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of a method for managing a supply chain of automobile service processes provided by the present invention; Figure 2 It is a structural diagram of an automobile service process supply chain management system provided by the present invention; Figure 3 It is a structural diagram of an automobile service process supply chain management device provided by the present invention.

[0016] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods.

[0019] Reference Figure 1 As shown, the present invention provides a method for managing an automobile service process supply chain, comprising: Step S1: Obtain vehicle reservation information from the automobile service platform, and perform project analysis to obtain vehicle information and maintenance reservation information; Step S2: Designing a vehicle inspection process based on vehicle information and maintenance appointment information to obtain a corresponding initial inspection plan; Step S3: Matching the maintenance reservation information with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; Step S4: Perform maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance plan; Step S5: Integrate the initial inspection plan and the initial maintenance plan to obtain a car service plan.

[0020] Based on the above steps, the detailed process is as follows: Step S1: extract all information related to the current reservation from the database of the car service platform. This information usually includes the time and date of the reservation, the customer information of the reservation (such as name, contact information), and the detailed information of the vehicle (such as license plate number, model, and production year).

[0021] The extracted appointment information is classified and sorted to generate two main data sets: vehicle information and maintenance appointment information. Vehicle information: including license plate number, model, year of production, mileage, last maintenance time, etc. Maintenance appointment information: including scheduled maintenance items (such as oil change, brake system inspection, etc.), urgency, customer's special requirements or notes, etc.

[0022] Step S2: Determine the basic condition of the vehicle and possible common problems based on the model, year of production and mileage of the vehicle. Determine the specific inspection and maintenance steps required based on the maintenance items scheduled by the customer.

[0023] Combine vehicle information with maintenance appointment information to design a preliminary inspection process. This process should include all necessary inspection steps, starting with basic inspections (such as tires, lights, oil levels, etc.) to customer-specific inspection items (such as brake system, engine status, etc.).

[0024] Organize and record all inspection steps and generate a detailed initial inspection plan, including the specific requirements, tools needed, and estimated time for each inspection step.

[0025] Step S3: Utilize a pre-established and maintained comprehensive automobile database, which contains detailed repair and maintenance records, common problems and repair methods for various models.

[0026] Matches customer repair appointment information with data in a comprehensive automotive database to identify common issues associated with repair requests and recommended repair methods.

[0027] Based on the matching results, a repair standard group is generated. This includes all standard repair steps, required tools, parts list and estimated time related to the current vehicle and scheduled repair items.

[0028] Evaluate the generated maintenance criteria to ensure that they meet the actual situation and customer needs. If necessary, adjust and optimize to ensure the effectiveness and efficiency of the maintenance process.

[0029] Step S4: Based on the maintenance standard group generated in the previous step, extract all the maintenance items that need to be performed, standard steps, required tools and spare parts lists.

[0030] Compare the maintenance standard group with the specific vehicle appointment information to ensure that all scheduled maintenance items are included in the maintenance standard group and check whether there are any omissions or items that require special handling.

[0031] According to the requirements of the maintenance project, dispatch the required human and material resources, including arranging suitable maintenance technicians, booking the required tools and spare parts, and ensuring that all resources are ready before the maintenance begins.

[0032] Develop a detailed schedule based on the standard steps and estimated time for each maintenance project. Ensure that the maintenance process is carried out in an orderly manner and minimize the waiting time of the vehicle during maintenance.

[0033] Integrate all maintenance items, steps, resources and time schedules to generate a complete initial maintenance plan. This plan should list in detail the execution time, responsible technicians and required resources for each step.

[0034] Step S5: Integrate the initial inspection plan and initial maintenance plan generated in the first two steps to ensure that all inspection and maintenance steps can be seamlessly connected.

[0035] Evaluate the integrated solution and look for possible optimization opportunities, including reducing repeated inspection steps, optimizing resource usage and time scheduling to improve efficiency.

[0036] The optimized integrated plan will be transformed into a final vehicle service plan, which should include all inspection and repair steps, time schedule, responsible technicians and required resources.

[0037] Send the final car service plan to the relevant technicians and customers to confirm all the details are correct. In particular, the customer should understand the entire service process and schedule, and confirm whether there are any additional requirements.

[0038] The final car service plan is archived and backed up to the system database for subsequent query and service improvement.

[0039] The present invention provides a method for managing the supply chain of automobile service processes. By performing project analysis on vehicle reservation information, vehicle information and maintenance reservation information are obtained, which provides a comprehensive data basis for subsequent processes and helps to improve the accuracy and efficiency of information transmission. The inspection process is designed based on vehicle information and maintenance reservation information, and the personalized customization of the inspection plan is realized, which improves the pertinence and efficiency of the inspection. The maintenance reservation information is matched with a preset comprehensive automobile database to obtain a corresponding maintenance standard group, which ensures the professionalism and standardization of the maintenance plan and effectively improves the maintenance quality. Maintenance scheduling is carried out according to the maintenance standard group, which realizes the reasonable allocation and optimal utilization of resources, improves service efficiency, and reduces unnecessary waste of resources. By integrating the initial inspection plan and the initial maintenance plan, a comprehensive automobile service plan is obtained, which realizes the organic combination of various links and ensures the coherence and consistency of the service process. By considering the individual differences and maintenance characteristics of vehicles, customized solutions can be provided for different types of maintenance needs, which improves customer satisfaction. Through the intelligent management of the whole process, seamless connection from appointment to maintenance is achieved, which greatly improves the overall quality and efficiency of automobile services and provides new ideas and methods for the development of the automobile service industry.

[0040] In one embodiment, vehicle reservation information is obtained from the automobile service platform, and project analysis is performed to obtain vehicle information and maintenance reservation information, including: The automobile service platform is an online system that integrates functions such as vehicle reservation and maintenance services. Vehicle reservation information is extracted from the platform's database, which usually includes reservation requests submitted by car owners, basic vehicle information, and maintenance requirements descriptions.

[0041] The extracted reservation information is subjected to principal component analysis to reduce the high-dimensional data to a low-dimensional space and obtain the project feature vector that can reflect the main characteristics of the original data. Principal component analysis is a statistical method that transforms a set of variables that may be correlated into a set of linearly uncorrelated variables through orthogonal transformation.

[0042] Based on the obtained project feature vector, the system performs structured recognition on the vehicle reservation information. The purpose of structured recognition is to extract meaningful information from unstructured or semi-structured data. In this step, the vehicle identification number (VIN) and maintenance requirements are identified. The vehicle identification number is the unique identifier of each vehicle, while the maintenance requirements reflect the maintenance items that the owner wants to perform.

[0043] Based on the identified vehicle identification number, relevant vehicle information is extracted from the reservation information. This information usually includes the model, production year and mileage. The model refers to the specific model of the car, the production year indicates the year the car was manufactured, and the mileage reflects the degree of use of the car. This information is of great significance for the subsequent maintenance service arrangement and parts preparation.

[0044] For maintenance needs, keyword extraction technology is used to identify keywords from the appointment information and perform semantic analysis. Keyword extraction is to identify the words or phrases that best represent the text theme from the text. Semantic analysis is to understand the meaning of these keywords in context.

[0045] Through these steps, maintenance appointment information including maintenance items, urgency and expected completion time can be obtained. Maintenance items indicate the specific maintenance content that needs to be carried out, urgency reflects the urgent need for maintenance, and expected completion time is the time when the owner hopes the maintenance will be completed.

[0046] This embodiment can quickly and accurately extract key information, such as vehicle identification number and maintenance requirements, by performing principal component analysis and structured recognition on vehicle reservation information, greatly improving the efficiency and accuracy of information processing. It can also adapt to reservation information of different formats and contents, enhancing the adaptability and versatility of the system. In-depth information extraction and semantic analysis based on vehicle identification number and maintenance requirements enable the system to fully understand the vehicle condition and maintenance requirements. This not only provides a detailed basis for subsequent maintenance services, but also can reasonably arrange maintenance plans according to the degree of urgency and expected completion time, thereby improving service quality and customer satisfaction. Through keyword extraction and semantic analysis technology, the customer's maintenance needs can be accurately understood, avoiding misunderstandings and errors that may occur in manual interpretation. This automated processing method not only improves work efficiency, but also reduces the risk of human error, ensuring the accuracy and reliability of maintenance services.

[0047] In one embodiment, a vehicle inspection process is designed based on vehicle information and maintenance appointment information to obtain a corresponding initial inspection plan, including: The input vehicle information is classified and processed into two parts: basic vehicle information and historical vehicle maintenance records. Basic vehicle information includes basic attributes such as vehicle model, production year, and mileage, while historical vehicle maintenance records include information such as the vehicle's past maintenance items and time.

[0048] The pre-established vehicle model database is matched and queried based on the basic vehicle information. The vehicle model database stores standard inspection points for various vehicle models, including inspection items for various systems such as the engine, transmission, chassis, etc. Through matching query, a list of vehicle model inspection points corresponding to the current vehicle is obtained.

[0049] For the maintenance appointment information provided by the customer, natural language processing technology is used to extract keywords to obtain a set of keywords that reflect the customer's maintenance needs. These keywords may include words that describe the fault phenomenon, such as "abnormal noise", "oil leakage", and "brakes". Based on these keywords, the previously obtained list of vehicle model inspection points is screened, and the inspection items related to customer needs are retained to form a preliminary inspection item list.

[0050] The historical maintenance records of the vehicle are statistically analyzed to calculate the frequency of occurrence of various types of faults. These historical fault frequency data reflect the problems that are prone to occur in the vehicle, which helps to improve the pertinence of the inspection. The system will prioritize the items in the preliminary inspection list based on these frequency data, putting the items that are more likely to have problems at the front to form an optimized inspection list.

[0051] The optimized inspection item list is analyzed for inspection process. This step will consider the logical relationship between the inspection items, the rationality of the inspection sequence, and the inspection efficiency, and finally generate an initial inspection plan with specific inspection steps and sequence.

[0052] This embodiment realizes personalized customization of inspection plans through comprehensive analysis of vehicle information and maintenance appointment information, thereby improving the pertinence and efficiency of inspections. Automated processing of various types of information reduces manual operations and reduces error rates. Combining the vehicle model database with customer needs ensures the comprehensiveness and relevance of inspection items. Prioritization is performed using historical maintenance data, so that inspections are more focused on areas prone to problems, improving the accuracy of fault detection. Through inspection process analysis, the inspection sequence is optimized and the overall inspection efficiency is improved.

[0053] In one embodiment, the maintenance reservation information is matched with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group, including: Perform natural language processing on the maintenance appointment information provided by the customer, extract keywords from it, and form a maintenance feature word set. The maintenance feature word set contains keywords that describe vehicle fault symptoms, possible fault locations, and other information, such as "engine shaking", "transmission shifting abnormality", etc. This step aims to convert unstructured appointment information into structured data that can be used for subsequent matching.

[0054] The maintenance feature word set is used to search the pre-established comprehensive automobile database. The database contains a large number of historical maintenance cases, each of which records detailed fault descriptions, diagnostic processes, and maintenance plans. The retrieval process uses a fuzzy matching algorithm, allowing partial keyword matching to improve the recall rate of the retrieval. The retrieval results form a preliminary matching result set, which contains historical cases that may be related to the current maintenance appointment information.

[0055] For the preliminary matching results, similarity calculation is performed. The similarity calculation takes into account multiple factors, including keyword matching, vehicle model similarity, fault symptom similarity, etc. Each factor is assigned a certain weight, and the comprehensive calculation results in the similarity score between each matching case and the current appointment information. After the calculation is completed, all cases are sorted from high to low according to the similarity score to form a similarity sort list.

[0056] In order to filter out the most relevant maintenance cases, a predetermined similarity threshold is set. This threshold is determined through a large number of experiments and is used to balance the matching accuracy and the number of matches. Cases with similarities above the threshold are filtered out to form a qualified maintenance case set. This case set contains the historical cases that are most relevant to the current maintenance appointment.

[0057] The common maintenance features of the selected maintenance case set are extracted. This step aims to extract common maintenance features from multiple similar cases, including common fault causes, effective diagnostic methods, and recommended maintenance steps. Through statistical analysis and pattern recognition, a maintenance standard group is generated, which contains a series of standardized maintenance recommendations and operating specifications for the current maintenance appointment.

[0058] This embodiment realizes the conversion of unstructured data to structured data by performing keyword extraction and feature matching on the maintenance appointment information, thereby improving the efficiency and accuracy of information processing. By using a comprehensive automobile database for intelligent retrieval and similarity calculation, it is possible to quickly match relevant historical maintenance cases, thereby improving the scientificity and pertinence of maintenance plan formulation. Setting a similarity threshold for case screening ensures the matching accuracy while taking into account the number of matches, balancing the accuracy and diversity of maintenance plans. By extracting common features from the screened case set and generating standardized maintenance recommendations and operating specifications, not only the maintenance efficiency is improved, but also the consistency and reliability of maintenance services are enhanced. This personalized maintenance plan recommendation mechanism based on big data effectively improves the quality of automobile maintenance services and customer satisfaction, while also providing data-driven decision support for automobile service companies, helping them to continuously optimize service processes and improve operational efficiency.

[0059] In one embodiment, the vehicle reservation information is scheduled for maintenance according to the maintenance standard group to obtain an initial maintenance plan, including: The vehicle reservation information is classified and processed according to the types of maintenance items in the maintenance standard group to obtain multiple maintenance categories. The maintenance standard group refers to the pre-established automobile maintenance standards and specifications, which contain information such as the types, operation procedures and quality requirements of various maintenance items. The types of maintenance items may include routine maintenance, breakdown repairs, body repairs, etc. The maintenance requirements in the reservation information are matched with the item types in the maintenance standard group, so that the reservation information is classified into the corresponding maintenance category.

[0060] Priority evaluation is performed on each maintenance category to obtain a maintenance priority ranking. Priority evaluation is based on multiple factors, such as maintenance urgency, customer required completion time, maintenance complexity, etc. Priority scores are assigned to each maintenance category according to the preset evaluation rules, and the categories are sorted by scores to form a maintenance priority ranking.

[0061] The maintenance resources are allocated according to the maintenance priority to obtain a preliminary maintenance allocation plan. Maintenance resources include technicians, workstations, large equipment, etc. Considering the availability and professional matching of various resources, high-priority maintenance tasks are allocated to corresponding resources first to form a preliminary maintenance allocation plan.

[0062] The preliminary maintenance allocation plan is time-planned to obtain a maintenance schedule. According to the estimated working hours of each maintenance task, the time period of resource availability, and other information, specific start and end times are arranged for each maintenance task to generate a detailed maintenance schedule.

[0063] According to the maintenance schedule, the maintenance processes are sorted and processed to obtain the process execution order. The maintenance process refers to the specific operation steps required to complete a maintenance task. Considering the logical relationship and time arrangement between processes, the optimal execution order of each process is determined.

[0064] Perform parallel analysis on the process execution sequence to obtain process combinations. Analyze the dependencies and resource requirements between different processes, identify processes that can be executed in parallel, and combine these processes to improve maintenance efficiency.

[0065] According to the process combination, the task allocation is processed to obtain the work allocation plan. According to the characteristics of the process combination and the professional skills of the technician, the process combination is allocated to the appropriate technician or technician team to form a detailed work allocation plan.

[0066] According to the work allocation plan, the maintenance tools and equipment are deployed and processed to obtain the tool and equipment use plan. According to the tools and equipment required for each maintenance task, combined with the work allocation plan, the use time and sequence of tools and equipment are arranged to ensure efficient use of resources.

[0067] The tool and equipment use plan and work allocation plan are integrated to obtain the initial maintenance plan. This initial maintenance plan contains detailed maintenance task arrangements, personnel allocation, tool and equipment use plan and other information, providing comprehensive guidance for subsequent maintenance work.

[0068] This embodiment achieves efficient allocation and utilization of maintenance resources by systematically classifying and scheduling vehicle reservation information according to the maintenance standard group. By considering multiple factors such as the priority, complexity and urgency of the maintenance task, it ensures that important and urgent maintenance tasks can be handled in a timely manner. By analyzing and combining the maintenance processes in parallel, the maintenance efficiency is significantly improved. The method can identify processes that can be performed simultaneously, reasonably arrange technicians and equipment resources, and shorten the overall maintenance time. By generating detailed work allocation plans and tool and equipment usage plans, the allocation of human and material resources is optimized. This not only improves the quality of maintenance, but also reduces resource waste and reduces operating costs. The refined management of the maintenance process is achieved, and the entire process from appointment to completion has clear planning and guidance, which improves the predictability and consistency of services and enhances customer satisfaction.

[0069] In one embodiment, the initial inspection plan and the initial maintenance plan are integrated to obtain a vehicle service plan, including: Perform time priority sequence analysis on the initial inspection plan and the initial maintenance plan to generate a maintenance task time sequence table. Time priority sequence analysis determines the order of task execution based on factors such as the urgency and dependencies of each maintenance task. Safety-related inspection items usually have a higher priority, while cosmetic maintenance has a lower priority.

[0070] Based on the maintenance task schedule, task resources are allocated to obtain a preliminary resource plan. Task resources include human resources (such as technicians), equipment resources (such as lifts), site resources (such as maintenance stations), etc. Resource allocation follows the principle of maximizing efficiency, while taking into account factors such as technician expertise and equipment utilization.

[0071] Perform conflict detection on the preliminary resource plan, identify tasks with time or resource conflicts, and generate a list of conflicting tasks. Conflict types include multiple tasks using the same resources in the same time period, and there are dependencies between tasks.

[0072] According to the conflicting task list, the preliminary resource plan is adjusted and optimized to resolve the conflict and form an executable resource allocation plan. The adjustment methods include adjusting the task execution time, changing the allocated resources, etc.

[0073] Perform maintenance process analysis on resource allocation plan to generate detailed maintenance workflow plan. Process analysis considers factors such as logical sequence of processes and parallel possibility to improve overall maintenance efficiency.

[0074] Conduct quality assessment on the maintenance workflow plan and generate a quality assessment report. The assessment indicators include maintenance time, resource utilization, customer satisfaction expectations, etc. The quality assessment uses preset scoring rules to score and analyze various aspects of the process plan.

[0075] Based on the quality assessment report, the maintenance workflow plan is optimized to obtain the optimized process plan. The optimization goal is to improve the quality assessment score. The optimization methods include adjusting the process sequence and optimizing resource allocation.

[0076] The optimized process plan is associated with vehicle information (such as vehicle model, fault type, maintenance history, etc.) to generate a complete automotive service plan for a specific vehicle. This plan includes detailed maintenance steps, required resources, estimated time and other information to provide guidance for subsequent actual maintenance work.

[0077] This embodiment realizes the scientific sequencing of maintenance tasks and the rational use of resources through time priority sequence analysis and resource allocation, thereby improving the overall service efficiency. Secondly, the conflict detection and adjustment mechanism ensures the executability of the plan and avoids the resource conflict problems that may arise in actual operations. Furthermore, the quality assessment and optimization links ensure the continuous improvement of the service plan and help improve customer satisfaction. Finally, the optimized process plan is associated with vehicle information to generate a highly targeted service plan, which not only meets personalized needs but also improves the consistency of service quality. This systematic management method not only improves the efficiency and quality of automobile services, but also lays the foundation for the standardization and intelligentization of service processes.

[0078] Reference Figure 2 As shown, the present invention also provides an automobile service process supply chain management system, which is applied to any one of the above automobile service process supply chain management methods, including: The acquisition module is used to obtain vehicle reservation information from the automobile service platform and perform project analysis to obtain vehicle information and maintenance reservation information; An analysis module is used to design a vehicle inspection process based on vehicle information and maintenance appointment information to obtain a corresponding initial inspection plan; The association module is used to match the maintenance reservation information with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; A processing module, the processing module is used to schedule the vehicle reservation information for maintenance according to the maintenance standard group to obtain an initial maintenance plan; The control module is used to integrate the initial inspection plan and the initial maintenance plan to obtain a car service plan.

[0079] The present invention provides a kind of automobile service process supply chain management system, which obtains vehicle information and maintenance appointment information by performing project analysis on vehicle reservation information, provides a comprehensive data basis for subsequent processes, and helps to improve the accuracy and efficiency of information transmission. The inspection process is designed based on vehicle information and maintenance appointment information, realizes the personalized customization of the inspection plan, and improves the pertinence and efficiency of the inspection. The maintenance appointment information is matched with the preset comprehensive automobile database to obtain the corresponding maintenance standard group, which ensures the professionalism and standardization of the maintenance plan and effectively improves the maintenance quality. Maintenance scheduling is carried out according to the maintenance standard group, which realizes the reasonable allocation and optimal utilization of resources, improves service efficiency, and reduces unnecessary waste of resources. By integrating the initial inspection plan and the initial maintenance plan, a comprehensive automobile service plan is obtained, which realizes the organic combination of various links and ensures the coherence and consistency of the service process. By considering the individual differences and maintenance characteristics of vehicles, customized solutions can be provided for different types of maintenance needs, which improves customer satisfaction. Through the intelligent management of the whole process, seamless connection from appointment to maintenance is achieved, which greatly improves the overall quality and efficiency of automobile services and provides new ideas and methods for the development of the automobile service industry.

[0080] Reference Figure 3 As shown, the present invention also provides an automobile service process supply chain management device, comprising: Memory, used to store programs; The processor is used to execute the program to implement each step of any one of the above-mentioned automobile service process supply chain management methods.

[0081] In this embodiment, the processor and the memory may be connected via a bus or other means. The memory may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk, or a solid-state drive. The processor may be a general-purpose processor, such as a central processing unit, a digital signal processor, an application-specific integrated circuit, or one or more integrated circuits configured to implement the embodiments of the present invention.

[0082] The present invention also provides a storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute any of the above methods.

[0083] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and conciseness of description, the specific working process of the system and each module described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0084] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for managing the supply chain of an automobile service process, characterized in that: include: Obtain vehicle reservation information from the automobile service platform and conduct project analysis to obtain vehicle information and maintenance reservation information; Designing a vehicle inspection process based on the vehicle information and the maintenance appointment information to obtain a corresponding initial inspection plan; Matching the maintenance reservation information with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; Performing maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance plan; The initial inspection plan and the initial maintenance plan are integrated to obtain a car service plan.

2. The automobile service process supply chain management method according to claim 1, characterized in that: The vehicle reservation information is obtained from the automobile service platform, and project analysis is performed to obtain vehicle information and maintenance reservation information, including: Acquire the vehicle reservation information from the automobile service platform, perform principal component analysis on the vehicle reservation information, and obtain a project feature vector; Performing structured recognition on the vehicle reservation information based on the project feature vector to obtain a vehicle identification number and maintenance requirements; Extracting the vehicle reservation information according to the vehicle identification number to obtain the vehicle information including vehicle model, production year and mileage; Keywords are extracted from the vehicle reservation information according to the maintenance demand, and semantic analysis is performed to obtain the maintenance reservation information including maintenance items, urgency and expected completion time.

3. The automobile service process supply chain management method according to claim 1, characterized in that: The vehicle inspection process is designed based on the vehicle information and the maintenance appointment information to obtain a corresponding initial inspection plan, including: Classify and process the vehicle information to obtain basic vehicle information and historical vehicle maintenance records; Perform a matching query on a preset vehicle model database based on the basic vehicle information to obtain a corresponding vehicle model inspection point list; Extracting keywords from the maintenance appointment information to obtain a maintenance demand keyword set; Screening the vehicle type inspection key points list according to the maintenance requirement keyword set to obtain a preliminary inspection item list; Performing statistical analysis on the historical maintenance records of the vehicle to obtain historical failure frequency data; Prioritizing the preliminary inspection item list according to the historical fault frequency data to obtain an optimized inspection item list; An inspection process analysis is performed on the optimized inspection item list to obtain an initial inspection plan.

4. The automobile service process supply chain management method according to claim 1, characterized in that: The maintenance feature matching of the maintenance appointment information according to the preset comprehensive automobile database to obtain a corresponding maintenance standard group includes: Extracting keywords from the maintenance appointment information to obtain a maintenance feature word set; Searching the comprehensive automobile database according to the maintenance feature word set to obtain preliminary matching results; Calculating similarity of the preliminary matching results to obtain a similarity sorted list; The similarity sorting list is screened according to a preset similarity threshold to obtain a set of maintenance cases that meet the conditions; Common maintenance features are extracted from the maintenance case set to obtain the maintenance standard group.

5. The automobile service process supply chain management method according to claim 1, characterized in that: The step of performing maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance plan includes: Classifying the vehicle reservation information according to the maintenance item types in the maintenance standard group to obtain multiple maintenance categories; Conduct a priority assessment on each maintenance category to obtain a maintenance priority ranking; Allocating maintenance resources according to the maintenance priority ranking to obtain a preliminary maintenance allocation plan; Performing time planning processing on the preliminary maintenance allocation plan to obtain a maintenance time schedule; Sorting the maintenance processes according to the maintenance time schedule to obtain a process execution order; Performing parallel analysis on the execution sequence of the processes to obtain a process combination; Performing task allocation processing according to the process combination to obtain a work allocation plan; According to the work allocation plan, maintenance tools and equipment are allocated and processed to obtain a tool and equipment use plan; The tool and equipment use plan and the work allocation plan are integrated to obtain an initial maintenance plan.

6. The automobile service process supply chain management method according to claim 1, characterized in that: The initial inspection plan and the initial maintenance plan are integrated to obtain a vehicle service plan, including: Performing time priority sequence analysis on the initial inspection plan and the initial maintenance plan to obtain a maintenance task time sequence table; Allocate task resources for the maintenance task schedule to obtain a preliminary resource plan; Performing conflict detection on the preliminary resource plan to obtain a conflicting task list; Adjusting the preliminary resource plan according to the conflicting task list to obtain a resource allocation plan; Perform maintenance process analysis on the resource allocation plan to obtain a maintenance workflow plan; Performing a quality assessment on the maintenance workflow plan to obtain a quality assessment report; Optimizing the maintenance workflow plan according to the quality assessment report to obtain an optimized workflow plan; The optimization process plan is associated with the vehicle information to obtain the automobile service plan.

7. An automobile service process supply chain management system, characterized in that: The automobile service process supply chain management method applied to any one of claims 1 to 6 above comprises: A collection module, which is used to obtain vehicle reservation information from the automobile service platform and perform project analysis to obtain vehicle information and maintenance reservation information; An analysis module, the analysis module is used to design a vehicle inspection process based on the vehicle information and the maintenance appointment information to obtain a corresponding initial inspection plan; An association module, the association module is used to match the maintenance reservation information with maintenance characteristics according to a preset comprehensive automobile database to obtain a corresponding maintenance standard group; A processing module, the processing module is used to perform maintenance scheduling on the vehicle reservation information according to the maintenance standard group to obtain an initial maintenance plan; A control module is used to integrate the initial inspection plan and the initial maintenance plan to obtain a car service plan.

8. An automobile service process supply chain management device, characterized in that: include: Memory, used to store programs; The processor is used to execute the program to implement each step of the automobile service process supply chain management method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: Computer instructions are stored, and the computer instructions are used to make a computer execute the method according to any one of claims 1 to 6.

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