Task allocation tracking method and system for vehicle project management

Abstract

The invention provides a task allocation tracking method and system for vehicle project management, and relates to the technical field of automatic task scheduling, and the method comprises the steps: receiving the protection delay request information of a vehicle protection delay project; matching to obtain M target extended insurance management modules, wherein each extended insurance management module comprises N extended insurance management nodes; calling N first historical extended insurance management records, and performing extended insurance management quality evaluation to obtain a first extended insurance management node sequence; obtaining M extended insurance management node sequences; carrying out delay protection task allocation by taking the target delay protection time zone as a constraint, and generating Q delay protection task allocation schemes; performing optimal scheme evaluation to obtain an optimal insurance delay task allocation scheme; and carrying out protection delay management, synchronously carrying out task tracking, and generating a vehicle protection delay tracking report. According to the invention, the technical problems of low efficiency and waste of resource use caused by the lack of refined allocation of resources in the aspects of resource allocation and management of the existing vehicle extended insurance task allocation method are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of automated task scheduling, and particularly to a task allocation and tracking method and system for vehicle project management. Background Art

[0002] Vehicle extended warranty services usually provide additional repair and maintenance guarantees for consumers after the expiration of the vehicle warranty period to extend the service life of the vehicle. To ensure the efficient and accurate execution of extended warranty services, the task allocation and tracking in vehicle project management are particularly important. However, there are a series of problems in the existing technology for extended warranty project management, which affect the efficiency, quality, and user experience of task allocation.

[0003] In terms of resource allocation and management, the existing technology lacks refined allocation of resources. Task allocation often does not fully consider multiple factors such as the capabilities, resource requirements, and task priorities of each management node, resulting in inefficient and wasteful use of resources. For example, some tasks may be assigned to nodes with capabilities but insufficient resources, or the capabilities of some nodes are not fully utilized. Moreover, in the existing technology, the execution process of extended warranty tasks is usually difficult to track in real time, and the status and progress of tasks are often not timely feedback to managers or consumers. During the execution of extended warranty tasks, it is difficult to discover and solve problems in a timely manner, and it is impossible to efficiently adjust service plans to adapt to different requirements and emergencies. Summary of the Invention

[0004] This application provides a task allocation and tracking method and system for vehicle project management, aiming to solve the technical problem that the existing vehicle extended warranty task allocation method lacks refined allocation of resources in terms of resource allocation and management, resulting in inefficient and wasteful use of resources.

[0005] In the first aspect disclosed in the present application, a task assignment and tracking method for vehicle project management is provided. The method includes: receiving warranty extension request information for a vehicle warranty extension project from a user terminal, where the warranty extension request information includes basic vehicle information, warranty extension service requirements, and a target warranty extension time zone; based on the basic vehicle information and warranty extension service requirements, matching and obtaining M target warranty extension management modules from a vehicle project management platform, and each warranty extension management module includes N warranty extension management nodes; retrieving N first historical warranty extension management records of N first warranty extension management nodes of a first target warranty extension management module, performing a warranty extension management quality assessment, and obtaining a first warranty extension management node sequence according to the assessment results; and so on, obtaining M warranty extension management node sequences of the M target warranty extension management modules; taking the target warranty extension time zone as a constraint, performing warranty extension task assignment according to the M warranty extension management node sequences, and generating Q warranty extension task assignment plans; performing an optimal plan assessment on the Q warranty extension task assignment plans to obtain an optimal warranty extension task assignment plan; performing warranty extension management based on the optimal warranty extension task assignment plan, and simultaneously performing task tracking to generate a vehicle warranty extension tracking report.

[0006] In the second aspect disclosed in the present application, a task assignment and tracking system for vehicle project management is provided. The system is used for the task assignment and tracking method for vehicle project management described above. The system includes: a warranty extension request information receiving unit for receiving warranty extension request information for a vehicle warranty extension project from a user terminal, where the warranty extension request information includes basic vehicle information, warranty extension service requirements, and a target warranty extension time zone; a warranty extension management module matching unit for matching and obtaining M target warranty extension management modules from a vehicle project management platform based on the basic vehicle information and warranty extension service requirements, and each warranty extension management module includes N warranty extension management nodes; a warranty extension management quality assessment unit for retrieving N first historical warranty extension management records of N first warranty extension management nodes of a first target warranty extension management module, performing a warranty extension management quality assessment, and obtaining a first warranty extension management node sequence according to the assessment results; a warranty extension management node sequence obtaining unit for obtaining M warranty extension management node sequences of the M target warranty extension management modules by analogy; a warranty extension task assignment unit for performing warranty extension task assignment according to the M warranty extension management node sequences with the target warranty extension time zone as a constraint, and generating Q warranty extension task assignment plans; an optimal plan assessment unit for performing an optimal plan assessment on the Q warranty extension task assignment plans to obtain an optimal warranty extension task assignment plan; and a warranty extension tracking report generating unit for performing warranty extension management based on the optimal warranty extension task assignment plan and simultaneously performing task tracking to generate a vehicle warranty extension tracking report.

[0007] One or more technical solutions provided in the present application have at least the following beneficial effects:

[0008] Based on the vehicle's basic information and the demand for extended warranty services, the appropriate target extended warranty management module is accurately matched through the vehicle project management platform. Each management module contains multiple management nodes, which can ensure that the selection of each node conforms to the user's needs and avoid resource waste and mismatching problems in task allocation. By retrieving and analyzing historical extended warranty management records, the quality assessment of task nodes is based on real data, which can accurately reflect the historical performance of each node, including task completion quality, response timeliness, etc. This process makes task allocation more scientific. By sorting the results of node quality assessment, high-efficiency and high-quality management nodes can be preferentially selected to handle extended warranty tasks, improving the rationality of task allocation. Based on the evaluation results of task nodes, resource allocation is optimized. By dynamically adjusting node tasks and time arrangements, redundant use of resources and inefficient task allocation are avoided. This not only improves the efficiency of the overall extended warranty service but also reduces costs to a certain extent and enhances the overall benefits of the service. Under the constraint of the target extended warranty time zone, multiple extended warranty task allocation schemes are generated, and these schemes are evaluated according to the actual requirements of the tasks. Finally, the optimal scheme is selected. This method of multi-scheme evaluation and selection improves the flexibility of task allocation, ensures that extended warranty tasks can be completed efficiently within the specified time, and can also adjust the scheme according to the actual situation. Through extended warranty management and synchronous task tracking, the progress of tasks can be monitored in real time during the execution process to ensure the quality and progress of extended warranty services. In addition, the generated vehicle extended warranty tracking report can provide comprehensive and accurate feedback on task execution to project managers, helping to optimize service quality and providing data support for subsequent decision-making.

[0009] The above description is only an overview of the technical solution of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below. Description of the Drawings

[0010] Figure 1 It is a schematic flow chart of the task allocation and tracking method for vehicle project management provided by an embodiment of this application.

[0011] Figure 2 It is a schematic structural diagram of the task allocation and tracking system for vehicle project management provided by an embodiment of this application.

[0012] Description of the reference numerals: Extended warranty request information receiving unit 10, extended warranty management module matching unit 20, extended warranty management quality assessment unit 30, extended warranty management node sequence acquisition unit 40, extended warranty task allocation unit 50, optimal scheme evaluation unit 60, extended warranty tracking report generation unit 70. Detailed Embodiments

[0013] Embodiments of the present application provide a task assignment and tracking method and system for vehicle project management, which solve the technical problem that the existing vehicle extended warranty task assignment method lacks refined allocation of resources in terms of resource configuration and management, resulting in inefficient and wasteful use of resources.

[0014] After introducing the basic principle of the present application, various non-limiting embodiments of the present application will be specifically introduced below in conjunction with the accompanying drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0015] Embodiment 1, as Figure 1 shown, embodiments of the present application provide a task assignment and tracking method for vehicle project management, and the method includes:

[0016] Receiving extended warranty request information of a vehicle extended warranty project from a user terminal, where the extended warranty request information includes vehicle basic information, extended warranty service requirements, and a target extended warranty time zone.

[0017] The user submits an extended warranty request through a terminal, such as a mobile device, a web page, or other system interfaces. The extended warranty request information includes vehicle basic information, extended warranty service requirements, and a target extended warranty time zone. Among them, the vehicle basic information includes vehicle model, production date, owner information, vehicle usage, etc.; the extended warranty service requirements include the type of extended warranty expected by the user, such as power system extended warranty, electronic system extended warranty, etc., as well as the extended warranty period, warranty scope, etc.; the target extended warranty time zone is the time range or period when the user hopes to complete the extended warranty service. For example, whether the user hopes to complete the extended warranty service within a specific time period, such as within two months, or a specific season. The user's request information is sent to the vehicle project management platform through the network for subsequent processing.

[0018] Based on the vehicle basic information and extended warranty service requirements, M target extended warranty management modules are matched and obtained from the vehicle project management platform, and each extended warranty management module includes N extended warranty management nodes.

[0019] According to the received vehicle basic information and the extended warranty service requirements proposed by the user, M target extended warranty management modules that match are queried. Each management module covers different extended warranty service contents, including various tasks of extended warranty management services such as guarantee plan design, product actuarial pricing, underwriting / claims review, management specification formulation, case management, data mining, etc. Each management module is used to process specific vehicle extended warranty tasks. In each target extended warranty management module, there are N extended warranty management nodes, and these nodes represent different links or specific tasks of the extended warranty service.

[0020] Retrieving N first historical extended warranty management records of N first extended warranty management nodes of the first target extended warranty management module, performing extended warranty management quality evaluation, and obtaining a first extended warranty management node sequence according to the evaluation results.

[0021] Randomly extract one from the M target extended warranty management modules as the analysis object, which is used as the first target extended warranty management module. This random selection method facilitates subsequent traversal analysis. Extract the historical extended warranty management records related to each first extended warranty management node in the first target extended warranty management module from the database or record storage system. Each management node has multiple historical records, and these records represent the execution status of the node in past extended warranty tasks.

[0022] Conduct quality assessment on each historical record. The quality assessment is based on a set of preset assessment criteria, including task completion quality, task timeliness, service stability, work efficiency, etc. Evaluate the performance of each historical record from multiple dimensions. Each dimension has different weights, so as to comprehensively evaluate the quality of each historical record. According to the evaluation results of the historical extended warranty management records of each node, sort these nodes. Specifically, sort from the nodes with the best performance to the nodes with relatively poor performance. After sorting, obtain the first extended warranty management node sequence. This sequence is used to further arrange tasks or allocate resources. Nodes with better performance will be processed first to ensure the quality of extended warranty tasks.

[0023] And so on, obtain the M extended warranty management node sequences of the M target extended warranty management modules.

[0024] Similar to the management node evaluation and sorting of the first target extended warranty management module, for each of the remaining target extended warranty management modules, repeat a similar evaluation process. Conduct quality assessment on each management node in each module and sort the nodes according to the evaluation results. Through this process, finally obtain the management node sequence of each target extended warranty management module. Eventually, generate M extended warranty management node sequences. Each sequence represents the sorting order of each node in a target management module. Priority is given to nodes with better performance for task allocation.

[0025] With the target extended warranty time zone as a constraint, perform extended warranty task allocation according to the M extended warranty management node sequences to generate Q extended warranty task allocation plans.

[0026] Obtain the target extended warranty time zone specified by the user, that is, the time range within which the user hopes the extended warranty service to be completed. For example, it is required to complete the extended warranty task within the next two months. Use this time zone as a constraint condition to affect task allocation. All tasks must be completed within this time range, and the tasks of each management node need to be allocated and executed within a specific time period.

[0027] According to the obtained sequence of M extended warranty management nodes, extended warranty tasks are assigned among these nodes according to the sorting priority. The priority of the node sequence determines the execution order and assignment priority of the tasks. For each management node, factors such as the available time of the node, the time required for task execution, and the priority are comprehensively analyzed to reasonably arrange the start and end times of the tasks. By combining the target time zone and the node sequence, Q extended warranty task assignment schemes are generated. Each scheme contains different time arrangements and task assignment strategies to ensure that the extended warranty tasks can be completed within the target extended warranty time zone. Among them, each scheme has different node configurations and task orders to consider factors such as task coordination, time efficiency, and resource allocation.

[0028] Perform an optimal scheme evaluation on the Q extended warranty task assignment schemes to obtain the optimal extended warranty task assignment scheme.

[0029] Define evaluation indicators to measure the advantages and disadvantages of each task assignment scheme. Exemplary evaluation indicators include task timeliness, resource utilization efficiency, task quality, etc. Among them, task timeliness is used to evaluate whether each task can be completed on time and whether it meets the constraints of the target extended warranty time zone; resource utilization efficiency is used to evaluate whether resources are reasonably configured and whether there is resource waste or overuse; task quality is used to evaluate whether the assigned tasks can be completed with high quality and whether they meet the standards of extended warranty services. For each generated task assignment scheme, score or perform weighted scoring on it according to the preset evaluation criteria. According to the evaluation results, select the scheme with the highest score as the optimal scheme. The optimal scheme is the best choice after comprehensive analysis of multiple factors.

[0030] Based on the optimal extended warranty task assignment scheme, perform extended warranty management and simultaneously conduct task tracking to generate a vehicle extended warranty tracking report.

[0031] Based on the selected optimal extended warranty task assignment scheme, assign tasks to each extended warranty management node in sequence to ensure that each management node executes the corresponding tasks according to the task assignment schedule. During the extended warranty management process, real-time track the execution status of each task, record the progress and completion status of each task. Task tracking includes monitoring the timeliness, completion degree, quality evaluation, etc. of the tasks to promptly discover problems and make adjustments. Generate a detailed extended warranty tracking report according to the task tracking results. This report is not only used to check the execution of extended warranty tasks but also can provide a reference and basis for optimization for future extended warranty projects.

[0032] Furthermore, perform an extended warranty management quality evaluation, and obtain the first extended warranty management node sequence according to the evaluation results. The method includes:

[0033] Read the predetermined extended warranty management metrics, traverse the N first historical extended warranty management records based on the predetermined extended warranty management metrics, and obtain N extended warranty management quality evaluation parameters; according to the N extended warranty management quality evaluation parameters, perform multi-dimensional parameter evaluations respectively to obtain N multi-dimensional quality evaluation coefficients; traverse the N first historical extended warranty management records, perform extended warranty management stability evaluations, and obtain N stability evaluation coefficients; perform weight distribution on the multi-dimensional quality evaluation coefficients and the stability evaluation coefficients to generate a first weight and a second weight; according to the first weight and the second weight, traverse the N multi-dimensional quality evaluation coefficients and the N stability evaluation coefficients, perform corresponding weighted summations, and obtain N extended warranty management quality evaluation coefficients; sort the N extended warranty management quality evaluation coefficients in descending order, and obtain the first extended warranty management node sequence according to the descending order result.

[0034] According to the goals and requirements of extended warranty management, preset some key management metrics, including task completion quality, response time, problem-solving ability, customer satisfaction, etc. Read these preset extended warranty management metrics for subsequent quality evaluation. These metrics serve as standards for analyzing each piece of data in the historical records.

[0035] Traverse the N first historical extended warranty management records. Each record represents the task execution situation of a certain extended warranty management node in the past. Each record contains relevant data such as the completion situation of the task, the response time of the task, and the quality of the task. For each historical record, according to the predetermined extended warranty management metrics, extract the corresponding quality evaluation parameters. For example, for task completion quality, check whether the task in the historical record is completed according to the standard, and record the evaluation parameter, and so on. Integrate the extracted parameters of each record to form N extended warranty management quality evaluation parameters.

[0036] Based on parameters of different dimensions, evaluate each evaluation parameter respectively to generate corresponding quality evaluation coefficients. Each evaluation coefficient reflects the performance in a specific dimension. The value of the evaluation coefficient is usually obtained by calculating the weight of the parameter. For example, the task quality evaluation coefficient is determined according to factors such as whether the task is completed as required and whether there are complaints. Tasks with higher scores will get higher quality coefficients; the response time evaluation coefficient is calculated by analyzing the gap between the response time and the target time in the historical record. Shorter response times will obtain higher evaluation coefficients.

[0037] Each extended warranty management node obtains a corresponding comprehensive multi-dimensional quality evaluation coefficient according to the evaluation parameters of multiple dimensions. This coefficient is obtained through the comprehensive calculation of the parameters of each dimension. After completing the multi-dimensional evaluation of all historical extended warranty management records, N multi-dimensional quality evaluation coefficients are obtained. The evaluation coefficient of each management node reflects the overall quality level of the node.

[0038] To evaluate the stability of each management node, evaluation metrics related to stability are predefined, including the frequency of failures, the efficiency of failure response, the consistency of task completion quality, and the task completion time. Using these stability evaluation metrics, each historical extended warranty management record is traversed to analyze the information of the corresponding metrics in the record, extract parameters related to stability, and calculate the stability evaluation coefficient for each management node. For example, nodes with high failure frequencies and frequent quality fluctuations have lower stability scores; nodes with good on-time and consistent task performance have higher stability scores. By evaluating the stability of each node, a stability evaluation coefficient is ultimately generated for each management node.

[0039] According to the goals and requirements of extended warranty management, certain weights are assigned to the multi-dimensional quality evaluation coefficient and the stability evaluation coefficient to reflect their importance in the comprehensive evaluation. For example, the quality evaluation accounts for 70% of the weight, and the stability evaluation accounts for 30% of the weight. The specific weight assignment can be adjusted according to the actual situation, with the aim of ensuring full attention to key metrics.

[0040] Based on the first weight and the second weight, the multi-dimensional quality evaluation coefficient and the stability evaluation coefficient are weighted and summed to combine the quality evaluation and stability evaluation of each management node, generating a comprehensive extended warranty management quality evaluation coefficient. Traversing all N management nodes and repeating the weighted summation process for all N management nodes, N extended warranty management quality evaluation coefficients are finally obtained, and these coefficients will be used for subsequent sorting.

[0041] Based on the calculated N extended warranty management quality evaluation coefficients, they are sorted in descending order. Sorting in descending order means that nodes with higher quality evaluation coefficients will be ranked in the front, and nodes with lower quality evaluation coefficients will be ranked in the back. The purpose of this sorting process is to determine which management nodes have higher service quality and preferentially assign tasks to these nodes. According to the result of the descending order sorting, a first extended warranty management node sequence is generated, which is sorted in descending order according to the quality evaluation coefficients of the nodes. The sorting result can reflect the priority of each node. Among them, nodes with high quality evaluation coefficients will be preferentially selected for extended warranty task assignment to ensure the quality and efficiency of task execution.

[0042] Furthermore, traversing the N first historical extended warranty management records to conduct extended warranty management stability evaluation and obtaining N stability evaluation coefficients, the method includes:

[0043] Based on the N first historical extended warranty management records, conduct statistics on extended warranty task failures to obtain N failure occurrence frequency coefficients and N failure response efficiency coefficients; based on the N first historical extended warranty management records, conduct statistics on the completion time of extended warranty tasks to obtain N task timeliness coefficients; based on the N first historical extended warranty management records, conduct statistics on the quality consistency of extended warranty task completions to obtain N quality consistency coefficients; perform weight distribution on the N failure occurrence frequency coefficients, N failure response efficiency coefficients, the N task timeliness coefficients, and the N quality consistency coefficients, and perform corresponding weighted summation to obtain the N stability evaluation coefficients.

[0044] Extract fault-related information from the N first historical extended warranty management records, including whether a fault or problem occurred during the execution of the task, as well as the specific time, location, and related reasons for each fault occurrence. According to the fault statistics, calculate the fault occurrence frequency coefficient for each node. This coefficient measures the frequency of faults occurring in the extended warranty management node in the historical records. A node with a higher fault occurrence frequency coefficient indicates that it is more likely to experience faults during the execution of extended warranty tasks, reflecting its poor stability; statistically analyze the response and resolution efficiency of the management node to faults after each fault occurrence, and generate a fault response efficiency coefficient. This coefficient reflects the ability and efficiency of the management node to solve problems after a fault occurs. A node with a higher response efficiency coefficient indicates that it can respond to and resolve fault problems more quickly and effectively. Through the statistics of the N historical records, finally generate N fault occurrence frequency coefficients and N fault response efficiency coefficients, corresponding to each extended warranty management node respectively.

[0045] Analyze the historical extended warranty management records of each management node, and statistically analyze the completion time of each task. Specifically, the task completion time refers to the time required for the task to start and end, as well as the deviation between the actual completion time of the task and the planned completion time. Calculate the task timeliness coefficient for each management node. This coefficient reflects whether the task is completed on time and whether the completion time meets the predetermined goal. If the task is always completed on time or ahead of schedule, the timeliness coefficient is higher; if the task is often delayed, the timeliness coefficient is lower.

[0046] Analyze the N historical extended warranty management records, and evaluate whether each extended warranty task always maintains a stable quality standard during the execution process, including evaluating whether the execution of the task always meets the predetermined quality standard, whether there are quality fluctuations or inconsistent standards. According to the quality consistency of each node's task, calculate the quality consistency coefficient. This coefficient reflects the stability of the quality of the extended warranty task during the execution process. If the quality of the task fluctuates greatly during each execution, the quality consistency coefficient is lower; if the task quality always remains stable at the predetermined standard, the quality consistency coefficient is higher.

[0047] Assign a weight to each evaluation metric, where these weights reflect the importance of each metric to the stability evaluation. According to the assigned weights, perform a weighted sum of the N evaluation coefficients for each node to generate a stability evaluation coefficient for each management node. Each evaluation coefficient will be multiplied by its corresponding weight, and finally summed up to obtain the stability evaluation coefficient, which reflects the comprehensive performance of each management node in terms of stability.

[0048] Furthermore, for the statistics of the completion time of the extended warranty tasks based on the N first historical extended warranty management records to obtain N task timeliness coefficients, the method includes:

[0049] Based on the N first historical extended warranty management records and the historical target extended warranty time zone, conduct statistics on the early completion time of the extended warranty tasks to obtain N sets of early completion time deviation coefficients; based on the N first historical extended warranty management records and the historical target extended warranty time zone, conduct statistics on the late completion time of the extended warranty tasks to obtain N sets of late completion time deviation coefficients; fuse twice the N sets of late completion time deviation coefficients and the N sets of early completion time deviation coefficients to generate the task timeliness coefficients.

[0050] The historical target extended warranty time zone refers to the time range within which the task should be completed. For example, the extended warranty task should be completed within a certain specific date or date interval. For each extended warranty management record, calculate the early completion time of the task relative to the target time zone. For example, if the task should be completed within a specified time period and the actual completion time is earlier than the specified time, then the task is completed early. Calculate the deviation of the early completion time for each extended warranty task and summarize it into N sets of early completion time deviation coefficients, which represent the degree to which the task completion time is earlier than the target time zone.

[0051] Calculate the delay deviation between the actual completion time of the task and the completion time in the target time zone, that is, if the task is not completed on time, calculate the delayed time. Calculate and record the late completion time deviations of all extended warranty tasks, and finally generate N sets of late completion time deviation coefficients, which reflect the delay situation of each task completion, that is, the degree to which the task completion time exceeds the target time zone.

[0052] Combine twice the late completion time deviation coefficient with the early completion time deviation coefficient, which can more prominently reflect the impact of late completion on task timeliness. The deviation of the late completion time has a greater impact on task timeliness. Therefore, the system assigns a higher weight to the late deviation coefficient. This weighted combined coefficient will generate a comprehensive task timeliness coefficient, which reflects the overall situation of whether the task can be completed on time.

[0053] Furthermore, the method for allocating warranty extension tasks according to the M warranty extension management node sequences with the target warranty extension time zone as a constraint to generate Q warranty extension task allocation schemes includes:

[0054] Obtain the M node idle time zone sequences of the M warranty extension management node sequences; based on the M node idle time zone sequences, randomly extract M nodes from the M warranty extension management node sequences in sequence for task node matching to generate a first task node matching result that meets the target warranty extension time zone; perform multi-dimensional coordination analysis on the first task node matching result to obtain the coordination coefficient of the first task node matching result; when the coordination coefficient of the first task node matching result meets the coordination coefficient threshold, add the first task node matching result to the set of candidate warranty extension task allocation schemes; when the set of candidate warranty extension task allocation schemes meets the preset quantity, obtain the Q warranty extension task allocation schemes.

[0055] Each warranty extension management node will have idle time during task execution. These idle times refer to the periods when the node is not assigned tasks or not performing other work. The idle time of the node is usually determined by its task scheduling arrangement. The idle time zone of the node can be a period of the day or a specific period, such as from 9 am to 11 am, or specific days of the week. Extract the idle periods from the scheduling records of each management node. The idle time zones of each node are usually different and may be distributed in different time periods. These idle periods will be used to determine task allocation and scheduling.

[0056] Match the task nodes according to the target warranty extension time zone. The target warranty extension time zone refers to the time range within which the task should be completed. For example, the task needs to be completed within the next few days or weeks. Task node matching needs to ensure that the idle time zones of the selected nodes can meet the requirements of the target warranty extension time zone.

[0057] Randomly select a node from the node sequence of each warranty extension management module according to the idle time zone of the node. The selected node needs to be able to be assigned tasks during its idle period to ensure that the task can be completed within the target warranty extension time zone. The selection of these nodes is random, aiming to find the most suitable task matching scheme. Match the selected nodes with the target warranty extension time zone to ensure that the idle period of the node is consistent with the time interval required by the task. The node will be assigned tasks during its idle period to meet the requirements of the target time zone. In this way, a random task node matching result is generated, which contains the task allocation information of each selected node, ensuring that the task can be completed according to the target warranty extension time zone.

[0058] Multi-dimensional coordination analysis is to ensure the coordination among resource, time, and tasks in the task allocation of different nodes, including multiple dimensions such as time coordination, resource coordination, and node capacity coordination. For the matching result of the first task node, each coordination dimension is evaluated separately, and a weight is assigned to each dimension. Then, weighted summation is performed to obtain the coordination coefficient of the matching result of the first task node. This coefficient reflects the coordination degree of the task allocation. A high coefficient indicates good coordination among tasks, while a low coefficient may imply poor coordination.

[0059] Set a coordination coefficient threshold, which is used to determine whether the coordination of the task node matching meets the standard. This threshold is usually set based on historical experience, business requirements, and optimization goals. For the matching result of the first task node, check whether its coordination coefficient is higher than the set threshold. If the coordination coefficient meets the threshold, it indicates good coordination of the task allocation and can be further considered. In this case, add this matching result to the set of candidate extended warranty task allocation schemes, and these schemes will be further used to select the final optimal task allocation scheme.

[0060] Perform multiple task node matches to generate multiple task allocation schemes that meet the coordination requirements. Each scheme is slightly different. Monitor the size of the set of candidate extended warranty task allocation schemes in real time. When the number of task allocation schemes in the set reaches the preset target number (Q schemes), stop generating new schemes. At this time, extract Q extended warranty task allocation schemes from them for subsequent optimal scheme evaluation and task allocation.

[0061] Furthermore, the method for performing multi-dimensional coordination analysis on the matching result of the first task node to obtain the coordination coefficient of the matching result of the first task node includes:

[0062] Extract M first random task nodes from the matching result of the first task node, and obtain M first node idle time zones of the M first random task nodes; analyze the vehicle extended warranty project to obtain task quality requirements and resource configuration requirements; based on the target extended warranty time zone, evaluate the time zone matching degree of the M first node idle time zones to obtain a time zone matching degree evaluation coefficient; based on the task quality requirements, perform task capacity analysis on the M first random task nodes, and evaluate the node capacity matching degree according to the analysis result to obtain a node capacity matching degree evaluation coefficient; based on the resource configuration requirements, perform resource configuration analysis on the M first random task nodes, and evaluate the resource configuration matching degree according to the analysis result to obtain a resource configuration matching degree evaluation coefficient; perform weighted summation on the time zone matching degree evaluation coefficient, the node capacity matching degree evaluation coefficient, and the resource configuration matching degree evaluation coefficient to obtain the coordination coefficient of the matching result of the first task node.

[0063] From the first task node matching results that have been generated, extract M first random task nodes for further analysis. Each task node will be used for the evaluation of time zone matching degree in subsequent steps. For each task node, extract its idle time zone. The idle time zone refers to the time period during which the node is not assigned work during the task execution process and is used for subsequent time zone matching degree evaluation.

[0064] Analyze the requirements of the vehicle extended warranty project, clarify the quality standards for each task, including service quality requirements, time requirements, technical requirements, etc.; analyze the resources required for the tasks, including manpower, equipment, materials, etc., and determine the quantity and type of resources required for each task. The resource allocation requirements include personnel requirements, equipment requirements, material requirements, etc., such as required spare parts, consumables, etc. Finally, extract the quality standards and resource allocation requirements of the tasks to provide a basis for subsequent ability analysis and matching evaluation.

[0065] The target extended warranty time zone refers to the time range within which the task should be completed. Perform a matching evaluation on the idle time zone of each task node to evaluate whether the idle period of the node can meet the requirements of the target extended warranty time zone. The evaluation indicators include time overlap degree, that is, whether there is an overlapping part between the idle period of the node and the target extended warranty time zone. The more overlapping, the higher the matching degree; time proximity degree, that is, the proximity degree between the idle period of the node and the target extended warranty time zone, that is, whether the task assignment time of the node can be adjusted to be as close as possible to the target time zone. For each node, generate a time zone matching degree evaluation coefficient according to the above evaluation dimensions, indicating the matching degree between the idle period of the node and the target extended warranty time zone. Nodes with a higher time zone matching degree can better meet the task requirements, while a lower matching degree may indicate that the idle period of the node is not suitable for this task. The value of the time zone matching degree evaluation coefficient usually ranges between 0 and 1, where 1 represents a perfect match and 0 represents a complete mismatch.

[0066] According to the task quality requirements, analyze the execution ability of each task node. For example, the node needs to have certain skills, technologies, or tools to complete a specific task. If the task requires high-quality repair services, check whether the personnel of each node have the skills to perform such tasks; if the task requires specific equipment, check whether the node can provide these equipment and operate them. For each task node, evaluate its matching degree with the task quality requirements, which is determined by calculating whether the ability of the node meets the task quality requirements. A higher matching degree indicates that the node can better complete the task, while a lower matching degree may indicate that the node cannot complete the task or needs to be adjusted. The evaluation results of each node form a node ability matching degree evaluation coefficient, which will reflect the compliance degree between the task execution ability of the node and the task requirements.

[0067] According to the resource configuration requirements of the task, evaluate whether each task node has the resources required to complete the task. The resource configuration requirements include manpower, equipment, materials, etc. According to the resource situation of each node, match and evaluate it with the resource configuration requirements of the task, and generate a resource configuration matching degree evaluation coefficient based on the evaluation results. This coefficient reflects the adaptability of the node in terms of resources.

[0068] For the time zone matching degree evaluation coefficient, the node ability matching degree evaluation coefficient, and the resource configuration matching degree evaluation coefficient, assign corresponding weights according to their importance in task execution, and perform weighted summation on these three coefficients according to the weights to obtain a final coordination coefficient of the first task node matching result. This coefficient reflects the overall matching degree of the task node in multiple dimensions. A high coordination coefficient indicates that the node can better execute the task.

[0069] Furthermore, the method further includes:

[0070] When the coordination coefficient of the first task node matching result does not meet the coordination coefficient threshold, generate a skip instruction; according to the skip instruction, perform skip processing on the first task node matching result.

[0071] When the coordination coefficient of the first task node matching result does not meet the coordination coefficient threshold, it means that the matching degree of the task node in terms of the target time zone, resources, and capabilities is not ideal and cannot meet the requirements of the task. In this case, generate a skip instruction indicating that the task node matching result should not continue to perform task allocation. The skip instruction will tell the system to no longer consider the node matching result and skip the subsequent processing of this node, avoiding using uncoordinated nodes for task allocation.

[0072] After receiving the skip instruction, immediately perform skip processing on the current task node matching result, indicating that this node cannot be used as a valid task node for task allocation. The skipped task node will be removed from the task allocation to avoid affecting the system and ensure that more coordinated nodes are used for subsequent allocation. After skipping, continue to match other task nodes and try to select other nodes whose coordination coefficients meet the threshold to ensure that the finally generated task allocation plan can meet the target time zone and resource requirements.

[0073] In summary, the task allocation tracking method for vehicle project management provided by the embodiments of the present application has the following technical effects:

[0074] Based on the basic vehicle information and the demand for extended warranty services, the appropriate target extended warranty management module is accurately matched through the vehicle project management platform. Each management module contains multiple management nodes, which can ensure that the selection of each node conforms to the user's needs and avoid resource waste and mismatching problems in task allocation. By retrieving and analyzing the historical extended warranty management records, the quality assessment of task nodes is based on real data, which can accurately reflect the historical performance of each node, including the quality of task completion, response timeliness, etc. This process makes task allocation more scientific. By sorting the results of node quality assessment, high-efficiency and high-quality management nodes can be preferentially selected to handle extended warranty tasks, improving the rationality of task allocation. Based on the assessment results of task nodes, resource allocation is optimized. By dynamically adjusting node tasks and time arrangements, redundant use of resources and inefficient task allocation are avoided. This not only improves the efficiency of the overall extended warranty service but also reduces costs to a certain extent and enhances the overall benefit of the service. Under the constraint of the target extended warranty time zone, multiple extended warranty task allocation schemes are generated and evaluated according to the actual requirements of the tasks. Finally, the optimal scheme is selected. This way of multi-scheme evaluation and selection improves the flexibility of task allocation, ensures that extended warranty tasks can be completed efficiently within the specified time, and can also adjust the scheme according to the actual situation. Through extended warranty management and synchronous task tracking, the progress of tasks can be monitored in real time during the execution process to ensure the quality and progress of extended warranty services. In addition, the generated vehicle extended warranty tracking report can provide comprehensive and accurate feedback on task execution to project managers, helping to optimize service quality and providing data support for subsequent decision-making.

[0075] Embodiment 2, based on the same inventive concept as the task allocation tracking method for vehicle project management in the foregoing embodiment, as Figure 2 shown, the embodiment of the present application provides a task allocation tracking system for vehicle project management, and the system includes:

[0076] An extended warranty request information receiving unit 10, configured to receive extended warranty request information for a vehicle extended warranty project from a user terminal, where the extended warranty request information includes basic vehicle information, extended warranty service requirements, and a target extended warranty time zone.

[0077] An extended warranty management module matching unit 20, configured to match and obtain M target extended warranty management modules from a vehicle project management platform based on the basic vehicle information and extended warranty service requirements, and each extended warranty management module includes N extended warranty management nodes.

[0078] An extended warranty management quality assessment unit 30, configured to retrieve N first historical extended warranty management records of N first extended warranty management nodes of a first target extended warranty management module, perform extended warranty management quality assessment, and obtain a first extended warranty management node sequence according to the assessment results.

[0079] The extended warranty management node sequence acquisition unit 40 is used to obtain the M extended warranty management node sequences of the M target extended warranty management modules by analogy.

[0080] The extended warranty task allocation unit 50 is used to allocate extended warranty tasks according to the M extended warranty management node sequences with the target extended warranty time zone as a constraint, and generate Q extended warranty task allocation schemes.

[0081] The optimal scheme evaluation unit 60 is used to evaluate the Q extended warranty task allocation schemes for the optimal scheme and obtain the optimal extended warranty task allocation scheme.

[0082] The extended warranty tracking report generation unit 70 is used to perform extended warranty management based on the optimal extended warranty task allocation scheme, synchronously perform task tracking, and generate a vehicle extended warranty tracking report.

[0083] Furthermore, the extended warranty management quality evaluation unit 30 includes:

[0084] The quality evaluation parameter acquisition channel is used to read the predetermined extended warranty management indicators, traverse the N first historical extended warranty management records based on the predetermined extended warranty management indicators, and obtain N extended warranty management quality evaluation parameters; the multi-dimensional parameter evaluation channel is used to perform multi-dimensional parameter evaluations respectively according to the N extended warranty management quality evaluation parameters to obtain N multi-dimensional quality evaluation coefficients; the stability evaluation channel is used to traverse the N first historical extended warranty management records to perform extended warranty management stability evaluations and obtain N stability evaluation coefficients; the weight distribution channel is used to perform weight distributions on the multi-dimensional quality evaluation coefficients and the stability evaluation coefficients to generate a first weight and a second weight; the weighted summation channel is used to traverse the N multi-dimensional quality evaluation coefficients and the N stability evaluation coefficients according to the first weight and the second weight to perform corresponding weighted summations and obtain N extended warranty management quality evaluation coefficients; the descending order arrangement channel is used to arrange the N extended warranty management quality evaluation coefficients in descending order and obtain the first extended warranty management node sequence according to the descending order arrangement result.

[0085] Furthermore, the extended warranty management quality evaluation unit 30 includes:

[0086] A fault statistics channel for performing fault statistics on the warranty extension tasks based on the N first historical warranty extension management records to obtain N fault occurrence frequency coefficients and N fault response efficiency coefficients; a completion time statistics channel for performing completion time statistics on the warranty extension tasks based on the N first historical warranty extension management records to obtain N task timeliness coefficients; a consistency statistics channel for performing consistency statistics on the completion quality of the warranty extension tasks based on the N first historical warranty extension management records to obtain N quality consistency coefficients; a stability evaluation coefficient acquisition channel for performing weight distribution on the N fault occurrence frequency coefficients, the N fault response efficiency coefficients, the N task timeliness coefficients, and the N quality consistency coefficients, and performing corresponding weighted summation to obtain the N stability evaluation coefficients.

[0087] Furthermore, the warranty extension management quality evaluation unit 30 includes:

[0088] An early completion time statistics channel for performing early completion time statistics on the warranty extension tasks based on the N first historical warranty extension management records and the historical target warranty extension time zone to obtain N sets of early completion time deviation coefficients; a late completion time statistics channel for performing late completion time statistics on the warranty extension tasks based on the N first historical warranty extension management records and the historical target warranty extension time zone to obtain N sets of late completion time deviation coefficients; a fusion channel for fusing twice the N sets of late completion time deviation coefficients and the N sets of early completion time deviation coefficients to generate the task timeliness coefficients.

[0089] Furthermore, the warranty extension task allocation unit 50 includes:

[0090] An idle time zone sequence acquisition channel for acquiring M node idle time zone sequences of the M warranty extension management node sequences; a task node matching channel for sequentially randomly extracting M nodes from the M warranty extension management node sequences based on the M node idle time zone sequences for task node matching to generate a first task node matching result that meets the target warranty extension time zone; a coordination analysis channel for performing multi-dimensional coordination analysis on the first task node matching result to obtain a coordination coefficient of the first task node matching result; an addition channel for adding the first task node matching result to the set of candidate warranty extension task allocation schemes when the coordination coefficient of the first task node matching result meets the coordination coefficient threshold; a distribution scheme acquisition channel for obtaining the Q warranty extension task allocation schemes when the set of candidate warranty extension task allocation schemes meets the preset quantity.

[0091] Furthermore, the warranty extension task allocation unit 50 includes:

[0092] The first node idle time zone acquisition channel is used to extract M first random task nodes from the first task node matching result and obtain M first node idle time zones of the M first random task nodes; the project analysis channel is used to analyze the vehicle extended warranty project to obtain task quality requirements and resource allocation requirements; the time zone matching degree evaluation channel is used to evaluate the time zone matching degree of the M first node idle time zones based on the target extended warranty time zone to obtain a time zone matching degree evaluation coefficient; the node ability matching degree evaluation channel is used to analyze the task capabilities of the M first random task nodes based on the task quality requirements and evaluate the node ability matching degree according to the analysis result to obtain a node ability matching degree evaluation coefficient; the resource allocation matching degree evaluation channel is used to analyze the resource allocation of the M first random task nodes based on the resource allocation requirements and evaluate the resource allocation matching degree according to the analysis result to obtain a resource allocation matching degree evaluation coefficient; the coordination coefficient acquisition channel is used to perform weighted summation on the time zone matching degree evaluation coefficient, the node ability matching degree evaluation coefficient, and the resource allocation matching degree evaluation coefficient to obtain the coordination coefficient of the first task node matching result.

[0093] Furthermore, the extended warranty task allocation unit 50 further includes:

[0094] The skip instruction generation channel is used to generate a skip instruction when the coordination coefficient of the first task node matching result does not meet the coordination coefficient threshold; the skip processing channel is used to perform skip processing on the first task node matching result according to the skip instruction.

[0095] Through the foregoing detailed description of the task allocation tracking method for vehicle project management in this specification, those skilled in the art can clearly know the task allocation tracking system for vehicle project management in this embodiment. Since it corresponds to the method disclosed in the embodiment, it is described relatively simply. For related parts, refer to the description in the method part.

[0096] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A task allocation tracking method for vehicle project management, characterized in that: The method comprises: receiving, from a user terminal, warranty extension request information for a vehicle warranty extension item, the warranty extension request information including basic vehicle information, warranty extension service requirements, and a target warranty extension time zone; Based on the basic information of the vehicle and the extended warranty service requirements, M target extended warranty management modules are matched and obtained from the vehicle project management platform, each extended warranty management module including N extended warranty management nodes; Retrieving N first historical warranty extension management records of N first warranty extension management nodes of the first target warranty extension management module, performing warranty extension management quality assessment, and obtaining a first warranty extension management node sequence according to the assessment results; Similarly, the M warranty extension management node sequences of the M target warranty extension management modules are obtained; Taking the target warranty extension time zone as a constraint, performing warranty extension task allocation according to the M warranty extension management node sequences, and generating Q warranty extension task allocation schemes; Evaluate the optimal solution for the Q extended warranty task allocation solutions to obtain the optimal extended warranty task allocation solution; Based on the optimal extended warranty task allocation plan, extended warranty management is performed, and task tracking is performed simultaneously to generate a vehicle extended warranty tracking report.

2. The task allocation tracking method for vehicle project management according to claim 1, characterized in that: The method of performing warranty extension management quality assessment and obtaining a first warranty extension management node sequence according to the assessment results comprises: Reading a predetermined extended warranty management indicator, traversing the N first historical extended warranty management records based on the predetermined extended warranty management indicator, and acquiring N extended warranty management quality evaluation parameters; According to the N extended warranty management quality evaluation parameters, multi-dimensional parameter evaluation is performed respectively to obtain N multi-dimensional quality evaluation coefficients; Traversing the N first historical warranty extension management records, performing warranty extension management stability assessment, and obtaining N stability assessment coefficients; Performing weight distribution on the multi-dimensional quality assessment coefficient and the stability assessment coefficient to generate a first weight and a second weight; According to the first weight and the second weight, traverse the N multi-dimensional quality assessment coefficients and the N stability assessment coefficients, perform corresponding weighted summation, and obtain N extended warranty management quality assessment coefficients; Arrange the N extended warranty management quality assessment coefficients in descending order, and obtain the first extended warranty management node sequence according to the descending order result.

3. The task allocation tracking method for vehicle project management according to claim 2, characterized in that: The method of traversing the N first historical warranty extension management records, performing warranty extension management stability assessment, and obtaining N stability assessment coefficients includes: According to the N first historical extended warranty management records, statistics of extended warranty task failures are performed to obtain N failure occurrence frequency coefficients and N failure response efficiency coefficients; According to the N first historical warranty extension management records, completion time statistics of warranty extension tasks are performed to obtain N task timeliness coefficients; According to the N first historical warranty extension management records, quality consistency statistics of warranty extension task completion are performed to obtain N quality consistency coefficients; The N fault frequency coefficients and the N fault response efficiency coefficients, the N task timeliness coefficients, and the N quality consistency coefficients are weighted and summed accordingly to obtain the N stability evaluation coefficients.

4. The task allocation tracking method for vehicle project management according to claim 3, characterized in that: The method of performing statistics on the completion time of the extended warranty task according to the N first historical extended warranty management records to obtain N task timeliness coefficients includes: According to the N first historical warranty extension management records, based on the historical target warranty extension time zone, statistics are performed on the early completion time of the warranty extension task to obtain N early completion time deviation coefficient sets; According to the N first historical warranty extension management records, based on the historical target warranty extension time zone, statistics on delayed completion time of the warranty extension task are performed to obtain N delayed completion time deviation coefficient sets; The task timeliness coefficient is generated by fusing twice the N delayed completion time deviation coefficient sets and the N early completion time deviation coefficient sets.

5. The task allocation tracking method for vehicle project management according to claim 1, characterized in that: The method of performing warranty extension task allocation based on the target warranty extension time zone as a constraint and the M warranty extension management node sequences to generate Q warranty extension task allocation schemes includes: Obtaining M node idle time zone sequences of the M extended warranty management node sequences; Based on the M node idle time zone sequences, randomly extract M nodes from the M extended warranty management node sequences in turn to perform task node matching, and generate a first task node matching result that meets the target extended warranty time zone; Performing a multi-dimensional coordination analysis on the first task node matching result to obtain a coordination coefficient of the first task node matching result; When the coordination coefficient of the first task node matching result meets the coordination coefficient threshold, adding the first task node matching result to the set of extended warranty task allocation solutions to be selected; When the set of to-be-selected extended warranty task allocation solutions meets a preset quantity, the Q extended warranty task allocation solutions are obtained.

6. The task allocation tracking method for vehicle project management according to claim 5, characterized in that: The method of performing a multi-dimensional coordination analysis on the first task node matching result to obtain a coordination coefficient of the first task node matching result includes: Extracting M first random task nodes from the first task node matching result, and obtaining M first node idle time zones of the M first random task nodes; Analyze vehicle extended warranty projects to obtain task quality requirements and resource allocation requirements; Based on the target extended warranty time zone, performing a time zone matching evaluation on the M idle time zones of the first nodes to obtain a time zone matching evaluation coefficient; Based on the task quality requirement, performing task capability analysis on the M first random task nodes, performing node capability matching evaluation according to the analysis result, and obtaining a node capability matching evaluation coefficient; Based on the resource configuration requirements, performing resource configuration analysis on the M first random task nodes, performing resource configuration matching evaluation according to the analysis results, and obtaining a resource configuration matching evaluation coefficient; The time zone matching evaluation coefficient, the node capability matching evaluation coefficient, and the resource configuration matching evaluation coefficient are weightedly summed to obtain the first task node matching result coordination coefficient.

7. The task allocation tracking method for vehicle project management according to claim 5, characterized in that: The method further comprises: When the coordination coefficient of the first task node matching result does not meet the coordination coefficient threshold, generating a skip instruction; According to the skip instruction, the first task node matching result is skipped.

8. The task allocation tracking system for vehicle project management is characterized by: The task allocation tracking method for implementing the vehicle project management according to any one of claims 1 to 7, the system comprising: An extended warranty request information receiving unit, configured to receive extended warranty request information of a vehicle extended warranty item from a user terminal, wherein the extended warranty request information includes basic vehicle information, extended warranty service requirements, and a target extended warranty time zone; An extended warranty management module matching unit is used to match and obtain M target extended warranty management modules from the vehicle project management platform based on the basic information of the vehicle and the extended warranty service requirements, each extended warranty management module including N extended warranty management nodes; The warranty extension management quality evaluation unit is used to retrieve N first historical warranty extension management records of N first warranty extension management nodes of the first target warranty extension management module, perform warranty extension management quality evaluation, and obtain a first warranty extension management node sequence according to the evaluation results; A warranty extension management node sequence acquisition unit, used to acquire M warranty extension management node sequences of the M target warranty extension management modules by analogy; A warranty extension task allocation unit, configured to allocate warranty extension tasks according to the M warranty extension management node sequences based on the target warranty extension time zone as a constraint, and generate Q warranty extension task allocation schemes; An optimal solution evaluation unit, used to evaluate the Q extended warranty task allocation solutions to obtain an optimal extended warranty task allocation solution; The extended warranty tracking report generating unit is used to perform extended warranty management based on the optimal extended warranty task allocation plan, and simultaneously perform task tracking to generate a vehicle extended warranty tracking report.

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