Task sorting management method and device on automobile general assembly line

By calculating the comprehensive score of task priority and combining it with equipment load balancing to sort tasks, the problem of uneven task sorting in existing technologies is solved, thereby improving the production efficiency of automobile assembly lines.

CN121766640APending Publication Date: 2026-03-31SAIC GM WULING AUTOMOBILE CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-18
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

The existing task sequencing method in automobile assembly lines does not fully consider task priority and equipment load balancing, resulting in high-priority tasks being delayed, low equipment utilization, and a decline in overall production efficiency.

Method used

By acquiring task information, calculating a comprehensive priority score for tasks, and combining the set of equipment required for the task, the current load rate of the equipment, the estimated working hours of the task, and the latest completion time, tasks are sorted to ensure a balanced load on high-priority tasks and equipment.

Benefits of technology

This effectively avoids delays in processing high-priority tasks and uneven equipment utilization, thereby improving the overall production efficiency of the assembly line.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121766640A_ABST
    Figure CN121766640A_ABST
Patent Text Reader

Abstract

The invention relates to a task sorting management method and device on an automobile general assembly line, and belongs to the technical field of intelligent manufacturing, and the method comprises the steps: obtaining a task identifier of each task on the general assembly line, a task priority coefficient, a task required equipment set, a required equipment current load rate, a task predicted working hour and task latest completion time; obtaining a priority comprehensive score of each task according to the task priority coefficient of each task, a set of equipment required by the task, the current load rate of the required equipment, the predicted working hours of the task and the latest completion time of the task, and sorting the tasks according to the priority comprehensive scores to obtain a task sorting sequence; according to the method, the task priority and the equipment load balance are fully considered during task sorting, delay processing of high-priority tasks and unbalanced equipment utilization rate are effectively avoided, and the production efficiency of the whole assembly line is improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention belongs to the field of intelligent manufacturing technology, specifically relating to a task sequencing management method and device for automobile assembly lines. Background Technology

[0002] The automotive assembly line production process involves multiple workstations, such as chassis assembly workstations, interior assembly workstations, and powertrain assembly workstations. Each workstation needs to complete different assembly tasks, and different tasks have different priorities, such as urgent order tasks and regular order tasks.

[0003] Currently, the task sequencing on automotive assembly lines mostly adopts the traditional "first-come, first-served" or "fixed order" method. This method does not fully consider task priority and equipment load balancing, which can easily lead to high-priority tasks being delayed, affecting order delivery cycles; some equipment is under high load for a long time, while other equipment is idle, resulting in low equipment utilization; and the connection between tasks is not smooth, with delays in one workstation causing subsequent workstations to stop working due to material shortages, thus reducing the overall production efficiency of the assembly line. Summary of the Invention

[0004] To address this issue, the present invention provides a task sequencing management method and apparatus for automobile assembly lines, thereby resolving the problems that existing task sequencing in automobile assembly lines can easily lead to reduced order delivery cycles, low equipment utilization, and decreased overall assembly line production efficiency.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for task sequencing management on an automobile assembly line, comprising: Obtain task information for each task on the final assembly line; the task information includes task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated task time, and latest task completion time. A comprehensive priority score for each task is obtained based on the task information provided for each task. The tasks are sorted according to the priority comprehensive score to obtain the task sorting sequence.

[0006] Furthermore, the step of obtaining a comprehensive priority score for each task based on the task information of each task includes: The tasks are sorted in order of their latest completion time from most recent to oldest to obtain a task queue; Tasks are retrieved one by one from the task queue, and each task is scored. The scoring operation is as follows: a task is retrieved as a task to be evaluated; the task information of the task to be evaluated is retrieved as evaluation information; the average load rate is obtained based on the set of equipment required for the task and the current load rate of the required equipment in the evaluation information; and the comprehensive priority score of the task to be evaluated is obtained based on the task priority coefficient, the estimated working time of the task, the latest completion time of the task, and the average load rate in the evaluation information.

[0007] Further, the step of obtaining the average load rate based on the set of devices required for the task and the current load rate of the required devices in the evaluation information includes: The average load rate is obtained by using the set of devices required for the task and the current load rate of each required device through the average load rate formula, which is: ; in, E represents the average load rate of the task to be evaluated. i Let Eᵢ be the set of required devices, where Eᵢ = {e1, e2, ..., e...} k}, where e1, e2, ..., e k These represent the various devices required for the task, where k is the number of devices required for the task to be evaluated; L e Let be the current load rate of the e-th required device.

[0008] Furthermore, the step of obtaining a comprehensive priority score for the task to be evaluated based on the task priority coefficient, estimated task duration, latest task completion time, and average load rate in the task-to-be-evaluated information includes: The priority score of the task to be evaluated is obtained through a priority scoring formula, which is as follows: ; Among them, S i For the task to be evaluated T i Priority-based comprehensive score; α, β, and γ are weighting coefficients; P i For the task to be evaluated T i Task priority coefficient; For the task to be evaluated T i Average load rate; D i For the task to be evaluated T i Latest task completion time; T now t represents the current time; i Estimate the required man-hours for the task.

[0009] Furthermore, the method also includes: The task priority coefficient is set according to the urgency of the order and the customer level. The task priority coefficient ranges from 1 to 10, with 10 being the highest priority.

[0010] Furthermore, the method also includes: The set of equipment required for the task is obtained based on the vehicle model in the task.

[0011] Furthermore, the method also includes: The current load rate of the equipment is obtained by dividing the total working hours of the tasks assigned to the equipment by the rated total working hours of the equipment. The current load rate of the equipment is in the range of 0-1, where 0 means the equipment is idle and 1 means the equipment is fully loaded.

[0012] Furthermore, the method also includes: The estimated working hours for the task are obtained based on historical assembly data.

[0013] Furthermore, the method also includes: The latest completion time of the task is obtained based on the final assembly line production plan.

[0014] Secondly, the present invention provides a task sequencing management device for an automobile assembly line, comprising: The acquisition module is used to acquire task information for each task on the final assembly line; the task information includes task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working hours of the task, and latest completion time of the task. The scoring module is used to obtain a comprehensive priority score for each task based on the task information provided for each task. The sorting module is used to sort the tasks according to the priority comprehensive score to obtain a task sorting sequence.

[0015] The present invention, by adopting the above technical solution, has at least the following beneficial effects: This invention provides a method and apparatus for task sorting management on an automotive assembly line. It acquires the task identifier, task priority coefficient, required equipment set, current load rate of the required equipment, estimated time, and latest completion time for each task on the assembly line. Based on these parameters, a comprehensive priority score is obtained for each task. The tasks are then sorted according to their comprehensive priority scores to obtain a task sorting sequence. This invention fully considers task priority and equipment load balance during task sorting, effectively preventing high-priority tasks from being delayed and avoiding uneven equipment utilization, thereby improving the overall production efficiency of the assembly line.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a task sorting management method on an automobile assembly line according to an exemplary embodiment of the present invention; Figure 2 This is a schematic block diagram of a task sorting management speed control device on an automobile assembly line, as illustrated in an exemplary embodiment of the present invention.

[0019] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0021] The task sequencing on automotive assembly lines often adopts the traditional "first-come, first-served" or "fixed order" method. This method does not fully consider task priority and equipment load balancing, which can easily lead to high-priority tasks being delayed, affecting order delivery cycles; some equipment is under high load for a long time, while other equipment is idle, resulting in low equipment utilization; and the connection between tasks is not smooth, with delays in one workstation causing subsequent workstations to stop working due to material shortages, thus reducing the overall production efficiency of the assembly line.

[0022] This invention provides a method and apparatus for task sorting management on an automotive assembly line. The method acquires the task identifier, task priority coefficient, required equipment set, current load rate of the required equipment, estimated time, and latest completion time for each task on the assembly line. Based on these parameters, a comprehensive priority score is obtained for each task. The tasks are then sorted according to their comprehensive priority scores to obtain a task sorting sequence. This invention fully considers task priority and equipment load balance during task sorting, effectively preventing high-priority tasks from being delayed and avoiding uneven equipment utilization, thereby improving the overall production efficiency of the assembly line.

[0023] The methods and apparatus of the present invention will be described below through specific embodiments.

[0024] Please see Figure 1 , Figure 1 This is a flowchart illustrating a task sequencing management method on an automobile assembly line, as shown in an exemplary embodiment of the present invention. (See attached diagram.) Figure 1 The method includes: Step S11: Obtain task information for each task on the final assembly line; task information includes task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated task time, and latest task completion time; Step S12: Obtain a comprehensive priority score for each task based on its task information; Step S13: Sort the tasks according to their priority scores to obtain the task sorting sequence.

[0025] It should be noted that the technical solution provided in this embodiment is applicable to scenarios including but not limited to: task sorting management on automobile assembly lines.

[0026] It is understood that the method provided in this embodiment obtains the task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working hours, and latest completion time of each task on the final assembly line. Based on the task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working hours, and latest completion time of each task, a comprehensive priority score for each task is obtained. The tasks are then sorted according to the comprehensive priority score to obtain a task sorting sequence. This invention fully considers task priority and equipment load balance when sorting tasks, effectively avoiding the delayed processing of high-priority tasks and uneven equipment utilization, thereby improving the overall production efficiency of the assembly line.

[0027] In practice, step S11, "obtaining task information for each task on the final assembly line," includes: collecting basic information of tasks to be sorted as task information through the existing production management system of the automotive final assembly line.

[0028] It should be noted that the task information includes the task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated task time, and latest task completion time.

[0029] In practice, step S12, "obtaining a comprehensive priority score for each task based on the task information of each task," includes: sorting tasks from nearest to farthest according to their latest completion time to obtain a task queue; retrieving tasks one by one from the task queue and performing a scoring operation on each task; the scoring operation is as follows: retrieving a task as a task to be evaluated; retrieving the task information of the task to be evaluated as the evaluation information; obtaining the average load rate based on the set of equipment required for the task and the current load rate of the required equipment in the evaluation information; and obtaining a comprehensive priority score for the task to be evaluated based on the task priority coefficient, the estimated working hours of the task, the latest completion time of the task, and the average load rate in the evaluation information.

[0030] Specifically, the average load rate is obtained based on the set of equipment required for the task and the current load rate of the required equipment in the information to be evaluated. This includes: obtaining the average load rate using the average load rate formula based on the set of equipment required for the task and the current load rate of each required device. The average load rate formula is as follows: ;in, E represents the average load rate of the task to be evaluated. i Let Eᵢ be the set of required devices, where Eᵢ = {e1, e2, ..., e...} k}, where e1, e2, ..., e k These represent the various devices required for the task, where k is the number of devices required for the task to be evaluated; L e Let be the current load rate of the e-th required device.

[0031] It should be noted that the average load rate of the set of devices Eᵢ required to complete task Tᵢ refers to the arithmetic mean of the current load rates of all devices (i.e., all devices in set Eᵢ) necessary to complete task Tᵢ. Its value ranges from 0 to 1: when the average load rate = 0, it means that all devices in Eᵢ are completely idle; when the average load rate = 1, it means that all devices in Eᵢ are at full load. The closer the value is to 1, the busier the overall devices required to complete the task are, and the higher the probability of waiting for devices after the task starts; the closer the value is to 0, the higher the overall idle rate of the devices, and the more abundant the device resources for task execution.

[0032] Specifically, the comprehensive priority score of the task to be evaluated is obtained based on the task priority coefficient, estimated task working hours, latest task completion time, and average load rate in the information to be evaluated. This includes: obtaining the comprehensive priority score of the task to be evaluated through the priority scoring formula, which is as follows: Among them, S i For the task to be evaluated T i Priority-based comprehensive score; α, β, γ are weighting coefficients; P i For the task to be evaluated T i Task priority coefficient; For the task to be evaluated T i Average load rate; D i For the task to be evaluated T i Latest task completion time; T now t represents the current time; i Estimate the required man-hours for the task.

[0033] It should be noted that α, β, and γ are weighting coefficients, and α+β+γ=1. They are adjusted according to the actual production needs of the assembly line. For example, when there is high order delivery pressure, α takes a value of 0.4-0.5; when the equipment load is unbalanced, β takes a value of 0.3-0.4; and when time constraints are strict, γ takes a value of 0.3-0.4.

[0034] In practice, step S13, "sorting tasks according to priority comprehensive score to obtain task sorting sequence", includes: outputting the task sorting sequence to the workstation terminal and MES system of the automobile assembly line to guide the operators of each workstation to execute tasks according to the order, while monitoring the task execution progress in real time. If a task is delayed (actual working time exceeds 120% of the expected working time), an emergency adjustment mechanism is triggered to recalculate the comprehensive score of the task and subsequent tasks and update the sorting sequence.

[0035] It should be noted that the task sequencing management device is a professional generation / optimization unit for task sequencing on the automotive assembly line, while the MES system is the central hub for receiving, storing, distributing, and monitoring the sequencing sequence. The two have a collaborative relationship of "professional generation - central hub flow," jointly realizing full-process control of the sequencing sequence from generation to execution. The task sequencing management device and the MES system can interact with each other through API interfaces or through the industrial Ethernet of the automotive assembly line.

[0036] It should be noted that the device load rate L is re-collected every preset time interval (e.g., 5 minutes). e Current time T now Based on real-time data, the comprehensive score Sᵢ for each incomplete task is recalculated, and the sorting sequence is dynamically adjusted; if the load rate L of a certain device... eIf the score is ≥0.9 (full load threshold), then in subsequent sorting, priority will be given to reducing the allocation of tasks related to that device, and tasks with similar comprehensive scores will be assigned to alternative devices with lower load rates.

[0037] In practice, the method also includes setting a task priority coefficient based on the urgency of the order and the customer level. The task priority coefficient ranges from 1 to 10, with 10 being the highest priority.

[0038] It should be noted that the principles for setting task priority coefficients include: dual-dimensional collaboration: simultaneously considering both "order urgency" (task time sensitivity) and "customer level" (cooperation value sensitivity) to avoid misjudgment of priority due to a single dimension (e.g., regular orders from high-level customers and urgent orders from ordinary customers need to be weighed differently); quantifiable and operable: both "urgency" and "customer level" are converted into quantifiable scoring indicators, and Pᵢ is obtained through weighted calculation to ensure the comparability of priorities for different tasks; dynamic adaptation: supports adjusting the weights of the two dimensions according to the company's business strategy (e.g., increasing the weight of "urgency" when prioritizing order delivery during peak seasons; increasing the weight of "customer level" when expanding into high-end markets); clear boundaries: clearly defining the grading thresholds for each dimension (e.g., the delivery cycle threshold for "urgent orders" and the cooperation scale threshold for "high-level customers") to avoid subjective judgment bias.

[0039] In practice, the method also includes: obtaining the set of equipment required for the task based on the vehicle model in the task.

[0040] It should be noted that the set of equipment required for the task (Eᵢ) directly depends on the vehicle model corresponding to the task. The structural differences of different vehicle models (such as sedans, SUVs, and new energy vehicles) (such as chassis size, power system type, and body component specifications) determine the types and quantities of special and general equipment that need to be used in the assembly process.

[0041] In practice, the method also includes: dividing the total working hours of the tasks assigned to the equipment by the rated total working hours of the equipment to obtain the current load rate of the equipment; the current load rate of the equipment is in the range of 0-1, where 0 means the equipment is idle and 1 means the equipment is fully loaded.

[0042] It should be noted that the current load rate of the equipment (L) e The value range (0-1) is a core indicator for measuring the workload of equipment. Its calculation logic is "total working hours of tasks assigned to the equipment ÷ total rated working hours of the equipment". This indicator directly affects the average load rate of the set of equipment required for the task, and thus determines the overall score and ranking priority of the task.

[0043] In practice, the method also includes: obtaining the estimated working hours of the task based on historical assembly data.

[0044] It should be noted that by statistically analyzing historical assembly data of "same vehicle model, same process, same equipment", and combining outlier handling and dynamic update mechanisms, a data that closely reflects actual production is obtained.

[0045] In practice, the method also includes obtaining the latest completion time of the task based on the final assembly line production plan.

[0046] It should be noted that the latest completion time of a task (Dᵢ, unit: min) is a core indicator for measuring the urgency of a task, directly affecting the calculation of the "time constraint factor" in the overall task score, and thus determining the task priority. The essence of Dᵢ is the constraint of the "critical node time" in the final assembly line production plan on a single task, and it needs to be comprehensively determined in conjunction with the "process connection logic," "batch delivery requirements," and "resource scheduling constraints" of the final assembly process.

[0047] In one specific embodiment, the tasks to be sorted are: 5 tasks in total, namely T1 (chassis bolt tightening), T2 (seat installation), T3 (engine hoisting), T4 (dashboard assembly), and T5 (wheel installation); weight coefficients: α=0.4 (priority weight), β=0.3 (equipment load weight), γ=0.3 (time constraint weight); current time T now =0min (starting from the start time of a certain production batch); Equipment load rate: e1 (bolt tightening machine) L e1 =0.6, e2 (seat installation machine) L e2 =0.3, e3 (engine hoisting equipment) L e3 =0.8, e4 (Dashboard Assembly Tool) L e4 =0.4, e5 (wheel mounting machine) L e5 =0.2; Task Information Table The overall scores of each task were calculated and ranked as follows: S3 (4.0697) > S1 (3.334) > S4 (2.9916) > S2 (2.629) > S5 (2.259). Therefore, the task ranking sequence is: T3 → T1 → T4 → T2 → T5.

[0048] Please see Figure 2 , Figure 2 This is a schematic block diagram of a task sequencing management speed control device on an automobile assembly line, as illustrated in an exemplary embodiment of the present invention. See also: Figure 2 The task sequencing management speed control device 100 on the automobile final assembly line includes: The acquisition module 101 is used to acquire task information for each task on the final assembly line. The task information includes task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working hours of the task, and latest completion time of the task. The scoring module 102 is used to obtain a comprehensive priority score for each task based on the task information of each task. The sorting module 103 is used to sort the tasks according to their priority comprehensive score to obtain a task sorting sequence.

[0049] It should be noted that the device provided in this embodiment is applicable to scenarios including but not limited to: task sorting management on automobile assembly lines.

[0050] It is understood that the device provided in this embodiment obtains the task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working time, and latest completion time of each task on the final assembly line. Based on the task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working time, and latest completion time of each task, a comprehensive priority score is obtained for each task. The tasks are then sorted according to the comprehensive priority score to obtain a task sorting sequence. This invention fully considers task priority and equipment load balance when sorting tasks, effectively avoiding the delayed processing of high-priority tasks and uneven equipment utilization, thereby improving the overall production efficiency of the assembly line.

[0051] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0052] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0053] It should also be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for display, data used for analysis, etc.) involved in this invention are all information and data authorized by the user or fully authorized by all parties.

[0054] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0055] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0056] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for task sequencing management on an automobile assembly line, characterized in that, The method includes: Obtain task information for each task on the final assembly line; the task information includes task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated task time, and latest task completion time. A comprehensive priority score for each task is obtained based on the task information provided for each task. The tasks are sorted according to the priority comprehensive score to obtain the task sorting sequence.

2. The method according to claim 1, characterized in that, The priority score for each task is obtained based on the task information of each task, including: The tasks are sorted in order of their latest completion time from most recent to oldest to obtain a task queue; Tasks are retrieved one by one from the task queue, and each task is scored. The scoring operation is as follows: a task is retrieved as a task to be evaluated; the task information of the task to be evaluated is retrieved as evaluation information; the average load rate is obtained based on the set of equipment required for the task and the current load rate of the required equipment in the evaluation information; and the comprehensive priority score of the task to be evaluated is obtained based on the task priority coefficient, the estimated working time of the task, the latest completion time of the task, and the average load rate in the evaluation information.

3. The method according to claim 2, characterized in that, The step of obtaining the average load rate based on the set of devices required for the task and the current load rate of the required devices in the evaluation information includes: The average load rate is obtained by using the set of devices required for the task and the current load rate of each required device through the average load rate formula, which is: ; in, E represents the average load rate of the task to be evaluated. i Let Eᵢ be the set of required devices, where Eᵢ = {e1, e2, ..., e...} k }, where e1, e2, ..., e k These represent the various devices required for the task, where k is the number of devices required for the task to be evaluated; L e Let be the current load rate of the e-th required device.

4. The method according to claim 3, characterized in that, The comprehensive priority score for the task to be evaluated is obtained based on the task priority coefficient, estimated task duration, latest task completion time, and average load rate in the task-to-be-evaluated information, including: The priority score of the task to be evaluated is obtained through a priority scoring formula, which is as follows: ; Among them, S i For the task to be evaluated T i Priority-based comprehensive score; α, β, and γ are weighting coefficients; P i For the task to be evaluated T i Task priority coefficient; For the task to be evaluated T i Average load rate; D i For the task to be evaluated T i Latest task completion time; T now t represents the current time; i Estimate the required man-hours for the task.

5. The method according to claim 1, characterized in that, The method further includes: The task priority coefficient is set according to the urgency of the order and the customer level. The task priority coefficient ranges from 1 to 10, with 10 being the highest priority.

6. The method according to claim 1, characterized in that, The method further includes: The set of equipment required for the task is obtained based on the vehicle model in the task.

7. The method according to claim 1, characterized in that, The method further includes: The current load rate of the equipment is obtained by dividing the total working hours of the tasks assigned to the equipment by the rated total working hours of the equipment. The current load rate of the equipment is in the range of 0-1, where 0 means the equipment is idle and 1 means the equipment is fully loaded.

8. The method according to claim 1, characterized in that, The method further includes: The estimated working hours for the task are obtained based on historical assembly data.

9. The method according to claim 1, characterized in that, The method further includes: The latest completion time of the task is obtained based on the final assembly line production plan.

10. A task sequencing management device for an automobile assembly line, characterized in that, The device includes: The acquisition module is used to acquire task information for each task on the final assembly line; the task information includes task identifier, task priority coefficient, set of equipment required for the task, current load rate of the required equipment, estimated working hours of the task, and latest completion time of the task. The scoring module is used to obtain a comprehensive priority score for each task based on the task information provided for each task. The sorting module is used to sort the tasks according to the priority comprehensive score to obtain a task sorting sequence.