Task allocation tracking method and system for vehicle project management

Abstract

The present invention provides a task allocation and tracking method and system for vehicle project management, relating to the field of automated task scheduling technology, including: receiving warranty request information for a vehicle warranty project; matching and obtaining M target warranty management modules, each of which includes N warranty management nodes; retrieving N first historical warranty management records, performing warranty management quality assessment, and obtaining a first warranty management node sequence; obtaining M warranty management node sequences; allocating warranty tasks based on the target warranty time zone as a constraint, and generating Q warranty task allocation plans; performing optimal plan assessment to obtain the optimal warranty task allocation plan; performing warranty management and simultaneously tracking tasks to generate a vehicle warranty tracking report. The present invention solves the technical problem that existing vehicle warranty task allocation methods lack refined resource allocation and management, resulting in inefficient and wasteful resource utilization.

Description

Technical Field

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

[0002] Vehicle extended warranty services typically provide consumers with additional repair and maintenance coverage after the vehicle warranty expires, extending the vehicle's service life. To ensure that extended warranty services are executed efficiently and accurately, task allocation and tracking in vehicle project management are particularly important. However, existing technologies for extended warranty project management have a series of problems, which affect the efficiency, quality and user experience of task allocation.

[0003] In terms of resource allocation and management, existing technologies lack refined resource allocation. Task assignments often fail to fully consider multiple factors, such as the capabilities, resource requirements, and task priorities of each management node. This leads to inefficient and wasteful resource use. For example, certain tasks may be assigned to nodes that have the capabilities but insufficient resources, or the capabilities of some nodes may not be fully utilized. Furthermore, existing technologies often make it difficult to track the execution of extended warranty tasks in real time, and task status and progress are often not promptly fed back to managers or consumers. This makes it difficult to promptly identify and resolve problems during the execution of extended warranty tasks, making it impossible to efficiently adjust service plans to accommodate varying needs and emergencies. Summary of the Invention

[0004] This application provides a task allocation 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 resource allocation and management, resulting in inefficient and wasteful resource utilization.

[0005] In a first aspect disclosed herein, a method for tracking task allocation for vehicle project management is provided. The method comprises: receiving, from a user terminal, warranty extension request information for a vehicle warranty project, the warranty extension request information including basic vehicle information, warranty service requirements, and a target warranty time zone; obtaining, from a vehicle project management platform, M target warranty extension management modules based on the basic vehicle information and warranty service requirements, each warranty extension management module including N warranty management nodes; retrieving N first historical warranty extension management records for N first warranty management nodes of a first target warranty extension management module, performing an warranty management quality assessment, and sorting the assessment results to obtain a first warranty management node sequence; and, similarly, obtaining M warranty management node sequences for the M target warranty extension management modules; allocating warranty tasks based on the M warranty management node sequences, using the target warranty time zone as a constraint, to generate Q warranty task allocation plans; evaluating the optimal plan among the Q warranty task allocation plans to obtain an optimal warranty task allocation plan; performing warranty management based on the optimal warranty task allocation plan, and simultaneously tracking tasks to generate a vehicle warranty tracking report.

[0006] In a second aspect disclosed herein, a task allocation tracking system for vehicle project management is provided. The system is used in the above-mentioned task allocation tracking method for vehicle project management. The system includes: a warranty extension request information receiving unit, configured to receive warranty extension request information for a vehicle warranty project from a user terminal, the warranty extension request information including basic vehicle information, warranty extension service requirements, and a target warranty extension time zone; a warranty extension management module matching unit, configured to obtain, from a vehicle project management platform, M target warranty extension management modules based on the basic vehicle information and warranty extension service requirements, each warranty extension management module including N warranty extension management nodes; and a warranty extension management quality assessment unit, configured to retrieve N first historical warranty extension management nodes of N first warranty extension management nodes of a first target warranty extension management module. The system includes a warranty management record, an extended warranty management quality assessment, and a first extended warranty management node sequence obtained by sorting the assessment results; an extended warranty management node sequence acquisition unit, configured to obtain M extended warranty management node sequences of the M target extended warranty management modules by analogy; an extended warranty task allocation unit, configured to allocate extended warranty tasks based on 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; an optimal solution evaluation unit, configured to evaluate the optimal solution of the Q extended warranty task allocation schemes and obtain an optimal extended warranty task allocation scheme; and an extended warranty tracking report generation unit, configured to perform extended warranty management based on the optimal extended warranty task allocation scheme, and simultaneously perform task tracking to generate a vehicle extended warranty tracking report.

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

[0008] Based on the basic information of the vehicle and the demand for extended warranty services, the vehicle project management platform accurately matches the appropriate target extended warranty management module. Each management module contains multiple management nodes, which can ensure that the selection of each node is consistent with the user's needs and avoid resource waste and mismatch problems in task allocation; through the retrieval and analysis of 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 time, etc. This process makes task allocation more scientific. By sorting the node quality assessment results, efficient and high-quality management nodes can be given priority to handle extended warranty tasks, which improves the rationality of task allocation; based on the evaluation results of task nodes, resource allocation is optimized, and resource shortages are avoided by dynamically adjusting node tasks and time arrangements. The redundant use and inefficient task allocation of the system not only improve the efficiency of the overall extended warranty service, but also reduce costs to a certain extent and improve the overall benefits of the service. Under the constraints of the target extended warranty time zone, multiple extended warranty task allocation plans are generated, and these plans are evaluated according to the actual needs of the task, and the best plan is finally selected. This multi-plan evaluation and selection method improves the flexibility of task allocation, ensuring that the extended warranty task can be completed efficiently within the specified time, and the plan can also be adjusted according to actual conditions. Through extended warranty management and synchronous task tracking, the progress of the task can be monitored in real time during the execution process to ensure the quality and progress of the extended warranty service. In addition, the generated vehicle extended warranty tracking report can provide project managers with comprehensive and accurate feedback on task execution, help optimize service quality and provide data support for subsequent decision-making.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flowchart of a task allocation and tracking method for vehicle project management provided in an embodiment of the present application.

[0011] Figure 2 A schematic diagram of the structure of a task allocation and tracking system for vehicle project management provided in an embodiment of the present application.

[0012] Description of reference numerals: warranty extension request information receiving unit 10 , warranty extension management module matching unit 20 , warranty extension management quality evaluation unit 30 , warranty extension management node sequence acquisition unit 40 , warranty extension task allocation unit 50 , optimal solution evaluation unit 60 , warranty extension tracking report generation unit 70 . DETAILED DESCRIPTION

[0013] The embodiments of the present application provide a task allocation tracking method and system for vehicle project management, thereby solving the technical problem that existing vehicle extended warranty task allocation methods lack refined allocation of resources in terms of resource allocation and management, resulting in inefficient and wasteful resource utilization.

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

[0015] Example 1, as Figure 1 As shown, an embodiment of the present application provides a task allocation tracking method for vehicle project management, the method comprising:

[0016] Receive warranty extension request information for a vehicle warranty item 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.

[0017] Users submit extended warranty requests through terminals such as mobile devices, web pages, or other system interfaces. The request includes basic vehicle information, extended warranty service requirements, and the target extended warranty time zone. Basic vehicle information includes vehicle model, production date, owner information, and vehicle usage. Extended warranty service requirements include the user's desired extended warranty type, such as powertrain or electronic system extended warranty, as well as the extended warranty period and coverage. The target extended warranty time zone is the timeframe or deadline within which the user wishes the extended warranty service to be completed. For example, whether the user wishes the extended warranty service to be completed within a specific timeframe, such as two months, or within a specific season. The user's request information is then sent to the vehicle project management platform via the network for subsequent processing.

[0018] 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, and each extended warranty management module includes N extended warranty management nodes.

[0019] Based on the received basic vehicle information and the extended warranty service requirements proposed by the user, M matching target extended warranty management modules are queried. Each management module covers different extended warranty service content, including protection plan design, product actuarial pricing, underwriting / claims review, management standard formulation, case management, data mining and other extended warranty management service tasks. Each management module is used to handle specific vehicle extended warranty tasks. Each target extended warranty management module contains N extended warranty management nodes, which represent different links or specific tasks of the extended warranty service.

[0020] N first historical warranty extension management records of N first warranty extension management nodes of the first target warranty extension management module are retrieved, warranty extension management quality assessment is performed, and a first warranty extension management node sequence is obtained by sorting the nodes according to the assessment results.

[0021] One of the M target warranty extension management modules is randomly selected as the analysis target, designated as the first target warranty extension management module. This random selection facilitates subsequent traversal analysis. Historical warranty extension management records associated with each first warranty extension management node in the first target warranty extension management module are extracted from a database or record storage system. Each management node has multiple historical records representing the node's performance in past warranty extension tasks.

[0022] A quality assessment is conducted on each historical record based on a set of preset evaluation criteria, including task completion quality, task timeliness, service stability, work efficiency, etc. The performance of each historical record is evaluated from multiple dimensions, and each dimension has a different weight. This is used to comprehensively evaluate the quality of each historical record. According to the evaluation results of the historical extended warranty management records of each node, these nodes are sorted, specifically from the best performing node to the poorly performing node. After sorting, the first extended warranty management node sequence is obtained. This sequence is used to further arrange tasks or allocate resources. Nodes with better performance will be given priority to ensure the quality of extended warranty tasks.

[0023] Similarly, the M warranty extension management node sequences of the M target warranty extension management modules are obtained.

[0024] Similar to the management node evaluation and ranking of the first target warranty extension management module, a similar evaluation process is repeated for each remaining target warranty extension management module. Each management node in each module is evaluated for quality and ranked according to the evaluation results. This process ultimately yields a management node sequence for each target warranty extension management module. Ultimately, M warranty extension management node sequences are generated. Each sequence represents the ranking order of the nodes in a target management module, with priority given to nodes with better performance for task allocation.

[0025] Taking the target warranty extension time zone as a constraint, warranty extension tasks are allocated according to the M warranty extension management node sequences to generate Q warranty extension task allocation plans.

[0026] Get the target extended warranty time zone specified by the user, that is, the time range in which the user wants the extended warranty service to be completed. For example, if the user requires the extended warranty task to be completed within the next two months, the time zone is used as a constraint to affect the allocation of tasks. All tasks must be completed within this time range, and tasks on each management node need to be allocated and executed within a specific time period.

[0027] Based on the M obtained warranty extension management node sequences, warranty extension tasks are assigned to these nodes according to their sorting priority. The priority of the node sequence determines the execution order and assignment priority of the tasks. For each management node, a comprehensive analysis of factors such as the node's available time, the time required for task execution, and the priority level is used to reasonably arrange the start and end times of the task. By combining the target time zone and the node sequence, Q warranty extension task allocation schemes are generated. Each scheme contains different time arrangements and task allocation strategies to ensure that the warranty extension task can be completed within the target warranty extension time zone. Among them, each scheme has different node configurations and task sequences to consider factors such as coordination between tasks, time efficiency, and resource allocation.

[0028] An optimal solution is evaluated for the Q extended warranty task allocation solutions to obtain an optimal extended warranty task allocation solution.

[0029] Evaluation metrics are defined to measure the quality of each task assignment plan. Example metrics include task timeliness, resource efficiency, and task quality. Task timeliness assesses whether each task can be completed on time and meets the constraints of the target extended warranty time zone. Resource efficiency assesses whether resources are properly allocated and whether there is any waste or overuse. Task quality assesses whether the assigned tasks can be completed with high quality and meet extended warranty service standards. Each generated task assignment plan is scored or weighted according to pre-set evaluation criteria. Based on the evaluation results, the plan with the highest score is selected as the optimal plan. The optimal plan is the best choice after a comprehensive analysis of multiple factors.

[0030] 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.

[0031] Based on the selected optimal extended warranty task allocation plan, tasks are assigned to each extended warranty management node in sequence to ensure that each management node executes the corresponding task according to the task allocation schedule. During the extended warranty management process, the execution status of each task is tracked in real time, and the progress and completion of each task are recorded. Task tracking includes monitoring the timeliness, completion rate, and quality assessment of tasks to promptly identify problems and make adjustments. A detailed extended warranty tracking report is generated based on the task tracking results. This report is not only used to check the execution of extended warranty tasks, but also provides a reference and optimization basis for future extended warranty projects.

[0032] Furthermore, the method of performing the warranty extension management quality assessment and obtaining the first warranty extension management node sequence according to the assessment results includes:

[0033] The method 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 to obtain N extended warranty management quality evaluation parameters; performing multi-dimensional parameter evaluation based on the N extended warranty management quality evaluation parameters to obtain N multi-dimensional quality evaluation coefficients; traversing the N first historical extended warranty management records to perform an extended warranty management stability evaluation to obtain N stability evaluation coefficients; weighting the multi-dimensional quality evaluation coefficients and the stability evaluation coefficients to generate a first weight and a second weight; traversing the N multi-dimensional quality evaluation coefficients and the N stability evaluation coefficients based on the first weight and the second weight, performing a corresponding weighted summation to obtain N extended warranty management quality evaluation coefficients; and sorting the N extended warranty management quality evaluation coefficients in descending order, and obtaining the first extended warranty management node sequence based on the descending order result.

[0034] According to the goals and needs of extended warranty management, some key management indicators are set in advance, including task completion quality, response time, problem-solving ability, customer satisfaction, etc. These extended warranty management indicators that have been set are read for subsequent quality evaluation. These indicators are used as standards to analyze each data in the historical records.

[0035] Traverse N first-line historical warranty extension management records. Each record represents the task status of a certain warranty extension management node in the past. Each record contains relevant data such as task completion status, task response time, and task quality. For each historical record, extract the corresponding quality evaluation parameters based on the predetermined warranty extension management indicators. For example, for task completion quality, check whether the task in the historical record was completed according to the standard and record the evaluation parameters. Similarly, integrate the extracted parameters of each record to form N warranty extension management quality evaluation parameters.

[0036] Based on parameters of different dimensions, each evaluation parameter is evaluated separately to generate a corresponding quality evaluation coefficient. 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 parameters. For example, the task quality evaluation coefficient is evaluated based on factors such as whether the task is completed as required and whether there are complaints. Tasks with high scores will receive 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 records. Shorter responses will receive higher evaluation coefficients.

[0037] Each extended warranty management node obtains a corresponding comprehensive multi-dimensional quality evaluation coefficient based on 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, we pre-defined stability-related evaluation indicators, including failure frequency, failure response efficiency, task completion quality consistency, and task completion time. We then traverse each historical extended warranty management record using these stability evaluation indicators, analyze the corresponding indicator information in the records, extract stability-related parameters, and calculate a stability evaluation coefficient for each management node. For example, nodes with frequent failure frequencies and quality fluctuations receive lower stability scores, while nodes with on-time and consistent tasks receive higher stability scores. By evaluating the stability of each node, we ultimately generate a stability evaluation coefficient for each management node.

[0039] According to the objectives and needs of extended warranty management, certain weights are assigned to the multi-dimensional quality assessment coefficients and stability assessment coefficients to reflect their importance in the comprehensive assessment. For example, quality assessment accounts for 70% of the weight and stability assessment accounts for 30% of the weight. The specific weight distribution can be adjusted according to actual conditions to ensure that sufficient attention is paid to key indicators.

[0040] According to the first weight and the second weight, the multi-dimensional quality assessment coefficient and the stability assessment coefficient are weightedly summed up to combine the quality assessment and stability assessment of each management node to generate a comprehensive extended warranty management quality assessment coefficient. All N management nodes are traversed and the weighted summation process is repeated for all N management nodes to finally obtain N extended warranty management quality assessment coefficients, which will be used for subsequent sorting.

[0041] Based on the N calculated extended warranty management quality assessment coefficients, they are sorted in descending order. This descending order places nodes with higher quality assessment coefficients first, and nodes with lower quality assessment coefficients last. The purpose of this sorting process is to determine which management nodes have higher service quality and prioritize task assignments for them. Based on the results of the descending sorting, a first extended warranty management node sequence is generated. This sequence is sorted from high to low by the node's quality assessment coefficient. This sorting result reflects the priority of each node. Nodes with higher quality assessment coefficients are prioritized for extended warranty task assignment, ensuring the quality and efficiency of task execution.

[0042] Furthermore, 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:

[0043] According to the N first historical extended warranty management records, statistics on extended warranty task failures are performed to obtain N failure frequency coefficients and N failure response efficiency coefficients; according to the N first historical extended warranty management records, statistics on extended warranty task completion time are performed to obtain N task timeliness coefficients; according to the N first historical extended warranty management records, statistics on extended warranty task completion quality consistency are performed to obtain N quality consistency coefficients; weight distribution is performed on the N failure frequency coefficients and N failure response efficiency coefficients, the N task timeliness coefficients, and the N quality consistency coefficients, and corresponding weighted summation is performed to obtain the N stability assessment coefficients.

[0044] Fault-related information is extracted from N first-line historical extended warranty management records, including whether any failures or issues occurred during task execution, as well as the specific time, location, and related causes of each failure. Based on the failure statistics, a failure frequency coefficient is calculated for each node. This coefficient measures the frequency of failures at the extended warranty management node in the historical records. A node with a higher failure frequency coefficient is more likely to fail while executing extended warranty tasks, reflecting poor node stability. The management node's response and resolution efficiency after each failure is calculated to generate a failure response efficiency coefficient. This coefficient reflects the management node's ability and efficiency in resolving problems after a failure occurs. A node with a higher response efficiency coefficient is able to respond to and resolve failures more quickly and effectively. By analyzing N historical records, N failure frequency coefficients and N failure response efficiency coefficients are ultimately generated, one for each extended warranty management node.

[0045] Analyze the historical extended warranty management records for each management node and calculate the completion time of each task. Specifically, task completion time refers to the time required from the start to the end of the task, as well as the deviation between the actual completion time 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 planned target. If the task is always completed on time or ahead of schedule, the timeliness coefficient is high; if the task is frequently delayed, the timeliness coefficient is low.

[0046] Analyze 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 standards, whether there are quality fluctuations or inconsistent standards. According to the quality consistency of each node 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 each time it is executed, the quality consistency coefficient is low; if the task quality is always stable on the predetermined standard, the quality consistency coefficient is high.

[0047] A weight is assigned to each evaluation indicator. These weights reflect the importance of each indicator to the stability assessment. According to the assigned weights, the N evaluation coefficients of each node are weighted and summed to generate the stability evaluation coefficient of each management node. Each evaluation coefficient will be multiplied by its corresponding weight, and the final sum is the stability evaluation coefficient, which reflects the comprehensive performance of each management node in terms of stability.

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

[0049] According to the N first historical warranty extension management records, based on the historical target warranty extension time zone, statistics on the early completion time of the extended warranty task are performed 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 the delayed completion time of the extended warranty task are performed to obtain N delayed completion time deviation coefficient sets; twice the N delayed completion time deviation coefficient sets and the N early completion time deviation coefficient sets are merged to generate the task timeliness coefficient.

[0050] The historical target extended warranty time zone refers to the time range in which the task should be completed. For example, the extended warranty task should be completed within a specific date or date range. For each extended warranty management record, the task's completion time relative to the target time zone is calculated. For example, if the task should be completed within the specified time period, but the actual completion time is earlier than the specified time, the task is completed ahead of schedule. The deviation of the early completion time is calculated for each extended warranty task and summarized into N sets of early completion time deviation coefficients. These deviation coefficients represent the degree to which the task completion time is ahead of schedule compared to 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 delayed completion time deviation of all extended tasks, and finally generate N delayed completion time deviation coefficient sets. These coefficients reflect the delay of each task completion, that is, the degree to which the task completion time exceeds the target time zone.

[0052] Combining twice the delayed completion time deviation coefficient with the early completion time deviation coefficient can more clearly highlight the impact of delayed completion on task timeliness. The deviation of delayed completion time has a greater impact on task timeliness, so the system assigns a higher weight to the delayed 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 of allocating warranty extension tasks based on the M warranty extension management node sequences and generating Q warranty extension task allocation plans with the target warranty extension time zone as a constraint includes:

[0054] Obtain 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 sequence for task node matching, and generate a first task node matching result that meets the target extended warranty time zone; perform 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 a coordination coefficient threshold, add the first task node matching result to a set of to-be-selected extended warranty task allocation schemes; when the set of to-be-selected extended warranty task allocation schemes meets a preset number, obtain the Q extended warranty task allocation schemes.

[0055] Each extended warranty management node will have idle time during task execution. This idle time refers to the period during which the node is not assigned tasks or performing other work. The idle time of a node is usually determined by its task scheduling. The idle time zone of a node can be a period of time per day, a specific time period, such as 9:00 to 11:00 a.m., or specific days of the week. The idle time period is extracted from the scheduling records of each management node. The idle time zone of each node is usually different and may be distributed in different time periods. These idle periods are used to determine task allocation and scheduling.

[0056] Task nodes are matched based on the target extended warranty time zone. The target extended warranty time zone refers to the time range in 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 zone of the selected node can meet the requirements of the target extended warranty time zone.

[0057] Based on the node's idle time zone, a node is randomly selected from the node sequence of each extended warranty management module. The selected node must be available for task assignment during its idle period to ensure that the task can be completed within the target extended warranty time zone. These nodes are randomly selected to find the most appropriate task matching solution. The selected node is matched with the target extended warranty time zone, ensuring that the node's idle period aligns with the time interval required by the task. The node will be assigned tasks during its idle period to meet the target time zone requirements. In this way, a random task node matching result is generated, which contains the task assignment information for each selected node, ensuring that the task can be completed within the target extended warranty time zone.

[0058] Multi-dimensional coordination analysis is to ensure the coordination of resources, time and tasks in the task allocation of different nodes, including time coordination, resource coordination, node capability coordination and other dimensions. For the first task node matching result, each coordination dimension is evaluated separately, and a weight is assigned to each dimension. The weighted sum is performed to obtain the coordination coefficient of the first task node matching result. This coefficient reflects the degree of coordination of task allocation. A high coefficient indicates good coordination between tasks, while a low coefficient may mean poor coordination.

[0059] A coordination coefficient threshold is set to determine whether the coordination of task node matching meets the standard. This threshold is usually set based on historical experience, business needs, and optimization goals. For the first task node matching result, check whether its coordination coefficient is higher than the set threshold. If the coordination coefficient meets the threshold, it means that the coordination of task allocation is good and can be further considered. In this case, the matching result is added to the set of candidate extended warranty task allocation plans, which will be further used to select the final optimal task allocation plan.

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

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

[0062] 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; parse the vehicle extended warranty item to obtain task quality requirements and resource allocation requirements; based on the target extended warranty time zone, perform time zone matching evaluation on the M first node idle time zones to obtain a time zone matching evaluation coefficient; based on the task quality requirements, perform task capability analysis on the M first random task nodes, perform node capability matching evaluation according to the analysis results, and obtain a node capability matching evaluation coefficient; based on the resource allocation requirements, perform resource configuration analysis on the M first random task nodes, perform resource configuration matching evaluation according to the analysis results, and obtain a resource configuration matching evaluation coefficient; perform weighted summation on the time zone matching evaluation coefficient, the node capability matching evaluation coefficient, and the resource configuration matching evaluation coefficient to obtain a coordination coefficient for the first task node matching result.

[0063] From the generated first task node matching results, M first random task nodes are extracted for further analysis. Each task node will be used in the subsequent time zone matching evaluation. For each task node, its idle time zone is extracted. Idle time zones refer to the time periods when a node is not assigned work during task execution and are used in the subsequent time zone matching evaluation.

[0064] Analyze the requirements of the vehicle extended warranty program and clarify the quality standards for each task, including service quality, timelines, and technical requirements. Analyze the resources required for the task, including manpower, equipment, and materials, and determine the quantity and type of resources required for each task. Resource allocation requirements include personnel, equipment, and supplies, such as spare parts and consumables. Ultimately, extract the quality standards and resource allocation requirements for the task, providing a basis for subsequent capability analysis and matching assessment.

[0065] The target extended time zone refers to the time range within which a task should be completed. Each task node's idle time zone is evaluated for matching, assessing whether the node's idle period meets the requirements of the target extended time zone. Evaluation metrics include time overlap, which determines whether the node's idle period overlaps with the target extended time zone; the greater the overlap, the higher the match; and time proximity, which determines the proximity between the node's idle period and the target extended time zone, indicating whether the node's task allocation time can be adjusted to be as close as possible to the target time zone. For each node, a time zone matching coefficient is generated based on the aforementioned evaluation dimensions. This coefficient represents the degree of matching between the node's idle period and the target extended time zone. Nodes with a higher time zone matching coefficient are better able to meet task requirements, while a lower matching coefficient may indicate that the node's idle period is unsuitable for the task. The value of the time zone matching coefficient typically ranges between 0 and 1, with 1 indicating a perfect match and 0 indicating a complete mismatch.

[0066] Based on the task quality requirements, the execution capabilities of each task node are analyzed. For example, if a node requires certain skills, techniques, or tools to complete a specific task, if the task requires high-quality repair services, the personnel at each node are checked to see if they have the necessary skills to perform such tasks. If the task requires specific equipment, the node is checked to see if it can provide and operate such equipment. Each task node is evaluated for its degree of match with the task quality requirements. This is determined by calculating whether the node's capabilities meet the task quality requirements. A higher match indicates that the node is well-equipped to complete the task, while a lower match may indicate that the node is unable to complete the task or requires adjustment. The evaluation results for each node form a node capability match assessment coefficient, which reflects the degree to which the node's ability to perform the task meets the task requirements.

[0067] Based on the resource allocation requirements of the task, evaluate whether each task node has the resources required to complete the task. The resource allocation requirements include manpower, equipment, materials, etc. According to the resource situation of each node, a matching evaluation is performed with the resource allocation requirements of the task. Based on the evaluation results, a resource configuration matching evaluation coefficient is generated. This coefficient reflects the adaptability of the node in terms of resources.

[0068] For the time zone matching evaluation coefficient, node capability matching evaluation coefficient, and resource configuration matching evaluation coefficient, corresponding weights are assigned according to their importance in task execution. The three coefficients are weighted and summed according to the weights to obtain a final coordination coefficient for 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 perform the task.

[0069] Furthermore, the method further comprises:

[0070] When the coordination coefficient of the first task node matching result does not meet the coordination coefficient threshold, a skip instruction is generated; and according to the skip instruction, the first task node matching result is skipped.

[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 between the task node and the target time zone, resources and capabilities is not ideal and cannot meet the task requirements. In this case, a skip instruction is generated to indicate that the task node matching result should not continue to execute task assignment. The skip instruction tells the system to no longer consider the node matching result and skip subsequent processing of the node to avoid using uncoordinated nodes to assign tasks.

[0072] Upon receiving a skip command, the current task node matching result will be skipped immediately, indicating that the node cannot be used as a valid task node for task assignment. The skipped task node will be removed from the task assignment to avoid any impact on the system and ensure that subsequent assignments use nodes with higher coordination. After skipping, the matching process will continue for other task nodes, attempting to select other nodes with coordination coefficients that meet the threshold to ensure that the final task assignment plan meets the target time zone and resource requirements.

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

[0074] Based on the basic information of the vehicle and the demand for extended warranty services, the vehicle project management platform accurately matches the appropriate target extended warranty management module. Each management module contains multiple management nodes, which can ensure that the selection of each node is consistent with the user's needs and avoid resource waste and mismatch problems in task allocation; through the retrieval and analysis of 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 time, etc. This process makes task allocation more scientific. By sorting the node quality assessment results, efficient and high-quality management nodes can be given priority to handle extended warranty tasks, which improves the rationality of task allocation; based on the evaluation results of task nodes, resource allocation is optimized, and resource shortages are avoided by dynamically adjusting node tasks and time arrangements. The redundant use and inefficient task allocation of the system not only improve the efficiency of the overall extended warranty service, but also reduce costs to a certain extent and improve the overall benefits of the service. Under the constraints of the target extended warranty time zone, multiple extended warranty task allocation plans are generated, and these plans are evaluated according to the actual needs of the task, and the best plan is finally selected. This multi-plan evaluation and selection method improves the flexibility of task allocation, ensuring that the extended warranty task can be completed efficiently within the specified time, and the plan can also be adjusted according to actual conditions. Through extended warranty management and synchronous task tracking, the progress of the task can be monitored in real time during the execution process to ensure the quality and progress of the extended warranty service. In addition, the generated vehicle extended warranty tracking report can provide project managers with comprehensive and accurate feedback on task execution, help optimize service quality and provide data support for subsequent decision-making.

[0075] Example 2, based on the same inventive concept as the task allocation tracking method for vehicle project management in the above embodiment, such as Figure 2 As shown, an embodiment of the present application provides a task allocation tracking system for vehicle project management, the system comprising:

[0076] The warranty extension request information receiving unit 10 is configured to receive warranty extension request information of a vehicle warranty item from a user terminal. The warranty extension request information includes basic vehicle information, warranty extension service requirements, and a target warranty extension time zone.

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

[0078] The warranty extension management quality evaluation unit 30 is configured 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 by sorting the records according to the evaluation results.

[0079] The warranty extension management node sequence acquisition unit 40 is configured to acquire the M warranty extension management node sequences of the M target warranty extension management modules in the same manner.

[0080] The warranty extension task allocation unit 50 is configured to allocate warranty extension tasks according to the M warranty extension management node sequences based on the target warranty extension time zone, and generate Q warranty extension task allocation plans.

[0081] The optimal solution evaluation unit 60 is configured to perform optimal solution evaluation on the Q extended warranty task allocation solutions to obtain an optimal extended warranty task allocation solution.

[0082] The warranty extension tracking report generating unit 70 is configured to perform warranty extension management based on the optimal warranty extension task allocation plan, and simultaneously perform task tracking to generate a vehicle warranty extension tracking report.

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

[0084] A quality evaluation parameter acquisition channel is configured to read predetermined extended warranty management indicators and, based on the predetermined extended warranty management indicators, traverse the N first historical extended warranty management records to obtain N extended warranty management quality evaluation parameters. A multidimensional parameter evaluation channel is configured to perform multidimensional parameter evaluations based on the N extended warranty management quality evaluation parameters to obtain N multidimensional quality evaluation coefficients. A stability evaluation channel is configured to traverse the N first historical extended warranty management records to perform extended warranty management stability evaluations to obtain N stability evaluation coefficients. A weight distribution channel is configured to perform weight distribution on the multidimensional quality evaluation coefficients and the stability evaluation coefficients to generate first and second weights. A weighted summation channel is configured to traverse the N multidimensional quality evaluation coefficients and the N stability evaluation coefficients based on the first and second weights to perform corresponding weighted summations to obtain N extended warranty management quality evaluation coefficients. A descending order sorting channel is configured to sort the N extended warranty management quality evaluation coefficients in descending order and obtain the first extended warranty management node sequence based on the descending order sorting result.

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

[0086] A fault statistics channel is used to perform extended warranty task fault statistics based on the N first historical extended warranty management records, and obtain N fault occurrence frequency coefficients and N fault response efficiency coefficients; a completion time statistics channel is used to perform extended warranty task completion time statistics based on the N first historical extended warranty management records, and obtain N task timeliness coefficients; a consistency statistics channel is used to perform extended warranty task completion quality consistency statistics based on the N first historical extended warranty management records, and obtain N quality consistency coefficients; a stability assessment coefficient acquisition channel is used to perform weighted distribution on the N fault occurrence frequency coefficients and N fault response efficiency coefficients, the N task timeliness coefficients, and the N quality consistency coefficients, and perform corresponding weighted summation to obtain the N stability assessment coefficients.

[0087] Furthermore, the extended warranty management quality assessment unit 30 includes:

[0088] An early completion time statistics channel is used to perform early completion time statistics of extended warranty tasks based on the N first historical extended warranty management records and the historical target extended warranty time zone, and obtain N early completion time deviation coefficient sets; a delayed completion time statistics channel is used to perform delayed completion time statistics of extended warranty tasks based on the N first historical extended warranty management records and the historical target extended warranty time zone, and obtain N delayed completion time deviation coefficient sets; a fusion channel is used to fuse twice the N delayed completion time deviation coefficient sets with the N early completion time deviation coefficient sets to generate the task timeliness coefficient.

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

[0090] An idle time zone sequence acquisition channel is used to obtain M node idle time zone sequences of the M extended warranty management node sequences; a task node matching channel is used to randomly extract M nodes from the M extended warranty management node sequences in sequence based on the M node idle time zone sequences to perform task node matching, and generate a first task node matching result that meets the target extended warranty time zone; a coordination analysis channel is used to perform multi-dimensional coordination analysis on the first task node matching result to obtain a coordination coefficient of the first task node matching result; an adding channel is used to add the first task node matching result to the set of to-be-selected extended warranty task allocation plans when the coordination coefficient of the first task node matching result meets a coordination coefficient threshold; an allocation plan acquisition channel is used to obtain the Q extended warranty task allocation plans when the set of to-be-selected extended warranty task allocation plans meets a preset number.

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

[0092] a first node idle time zone acquisition channel, 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; a project analysis channel, used to analyze the vehicle extended warranty project and obtain task quality requirements and resource allocation requirements; a time zone matching evaluation channel, used to perform time zone matching evaluation on the M first node idle time zones based on the target extended warranty time zone, and obtain a time zone matching evaluation coefficient; a node capability matching evaluation channel, used to perform task capability analysis on the M first random task nodes based on the task quality requirements, perform node capability matching evaluation based on the analysis results, and obtain a node capability matching evaluation coefficient; a resource configuration matching evaluation channel, used to perform resource configuration analysis on the M first random task nodes based on the resource configuration requirements, perform resource configuration matching evaluation based on the analysis results, and obtain a resource configuration matching evaluation coefficient; a coordination coefficient acquisition channel, used to perform weighted summation of the time zone matching evaluation coefficient, the node capability matching evaluation coefficient, and the resource configuration matching evaluation coefficient, and obtain a coordination coefficient of the first task node matching result.

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

[0094] A 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; a skip processing channel is used to skip the first task node matching result according to the skip instruction.

[0095] Through the detailed description of the task allocation and tracking method for vehicle project management in the foregoing specification, those skilled in the art can clearly understand the task allocation and tracking system for vehicle project management in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method section.

[0096] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to 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, an extension request for a vehicle warranty item, the extension request including basic vehicle information, extended warranty service requirements, and a target extended warranty time zone; Based on the basic information of the vehicle and the extended warranty service requirements, M target extended warranty management modules are obtained from the vehicle project management platform, each of which includes 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 sorting the assessment results to obtain a first warranty extension management node sequence; 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, perform warranty extension task allocation according to the M warranty extension management node sequences to generate Q warranty extension task allocation plans; 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 includes: Reading a predetermined extended warranty management indicator, and traversing the N first historical extended warranty management records based on the predetermined extended warranty management indicator to obtain N extended warranty management quality evaluation parameters; Perform multi-dimensional parameter evaluations on the N extended warranty management quality evaluation parameters 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: Performing statistics on extended warranty task failures based on the N first historical extended warranty management records to obtain N failure occurrence frequency coefficients and N failure response efficiency coefficients; Performing statistics on the completion time of warranty extension tasks based on the N first historical warranty extension management records to obtain N task timeliness coefficients; Performing quality consistency statistics of warranty extension task completion based on the N first historical warranty extension management records 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 warranty extension tasks based on the N first historical warranty extension 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 are performed on the delayed completion time of the warranty extension task 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 allocating warranty extension tasks based on the M warranty extension management node sequences and generating Q warranty extension task allocation plans with the target warranty extension time zone as a constraint 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 sequence for 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 multi-dimensional coordination analysis on the first task node matching result to obtain the 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; A weighted sum is performed on the time zone matching evaluation coefficient, the node capability matching evaluation coefficient, and the resource configuration matching evaluation coefficient to obtain the coordination coefficient of the first task node matching result.

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 matching result of the first task node does not meet the coordination coefficient threshold, generating a skip instruction; According to the skip instruction, skip processing is performed on the first task node matching result.

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