Multi-level linkage planning and control methods, devices, equipment and storage media

Abstract

This invention discloses a multi-level linkage planning and control method, device, equipment, and storage medium. The method establishes a model database for automatic scheduling of vehicle trial production plans, automatically generates a master trial production plan for the entire vehicle based on the model database, initiates a vehicle trial production application based on the master trial production plan, generates a grid plan based on the application, and calls a corresponding preset algorithm based on the grid plan. The algorithm matches the process cycle library to automatically generate initial plans for welding, final assembly, and delivery. This ensures data consistency and linkage between different levels of plans, meets the planning and control needs of different roles at different stages, can promptly and proactively send risk warnings, reduces the delivery risk of trial production vehicles, can more accurately calculate reasonable cycles, and updates and improves the model cycle library, thereby improving the accuracy of trial production plan scheduling and increasing the efficiency of multi-level linkage planning and control.

Description

Technical Field

[0001] This invention relates to the field of vehicle manufacturing technology, and in particular to a multi-level linkage planning and control method, device, equipment and storage medium. Background Technology

[0002] During the vehicle trial production process, planning control runs through the entire business from start to finish, covering annual plans, trial production master plans, monthly plans, grid plans, production plans, etc. Traditional planning management uses Excel to collect data offline, resulting in low planning control efficiency, poor linkage between multi-level plans, and the need for multiple departments such as project team, trial production, and procurement to track progress risks offline.

[0003] An existing method for coordinated adjustment of production scheduling includes: obtaining the main processes in the initial production scheduling plan, wherein the main processes include several work units; adjusting the time of the main processes and work units according to the current production capacity to generate a first production scheduling plan; comparing the first production scheduling plan with the initial production scheduling plan, and shifting the time of unfinished work units in the first production scheduling plan to generate a second production scheduling plan; and guiding production operations according to the second production scheduling plan. This method addresses the lack of flexibility in adjusting production scheduling plans in existing technologies, achieves coordinated adjustment of production scheduling plans, and improves production efficiency.

[0004] However, the above methods are only applicable to the production plan control at the workshop execution level of manufacturing enterprises. The scenario is relatively simple and not suitable for complex multi-level plan control needs. They do not consider the linkage with upstream test plans and trial production master plans, lack top-down global plan linkage control, have low control efficiency, lack of risk transparency, and cause waste of resources. Summary of the Invention

[0005] The main objective of this invention is to provide a multi-level linkage planning and control method, device, equipment, and storage medium, which aims to solve the technical problems in the prior art where the whole vehicle planning scenario is relatively simple, not suitable for complex multi-level planning and control needs, does not consider the linkage with upstream test plans and trial production master plans, lacks top-down global planning linkage control, has low control efficiency, lacks transparency of risks, and causes waste of resources.

[0006] In a first aspect, the present invention provides a multi-level linkage plan control method, the multi-level linkage plan control method comprising the following steps:

[0007] Establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate the master trial production plan for vehicle production based on the model database;

[0008] Initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application;

[0009] Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding initial plan for welding, final assembly and delivery.

[0010] Optionally, the step of establishing a model database for automatic scheduling of vehicle trial production plans, and automatically generating a master trial production plan for the complete vehicle based on the model database, includes:

[0011] Obtain the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan;

[0012] The model database for automatically scheduling the vehicle trial production plan is constructed based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library.

[0013] The test plan information and annual plan are obtained from the model database, and the initial version of the trial production cycle library is automatically generated based on the test plan information and annual plan and matched with the professional group trial production cycle library.

[0014] The line-specific planning time of the initial trial production master plan is confirmed and fine-tuned to generate the final version of the trial production master plan.

[0015] Optionally, obtaining the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan includes:

[0016] Obtain the specific and general attributes, procurement channels, and procurement methods of the parts corresponding to the vehicle trial production plan;

[0017] By combining the specific attributes of the part type, the procurement channel, and the procurement method with the historical cycle experience database, the business cycle corresponding to different types and procurement methods of parts is obtained, and a component business cycle database is generated based on the business cycle.

[0018] Obtain the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan;

[0019] By combining the project classification, the trial production stage, the trial production category, and whether it is the first batch information with the historical cycle experience database, the production cycle of the whole vehicle trial production process is obtained, and a professional group trial production cycle database is generated based on the production cycle.

[0020] Obtain the workshop plan, actual work plan, and holiday schedule corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, the actual work plan, and the holiday schedule;

[0021] Obtain the vehicle trial production cycle experience library corresponding to the vehicle trial production plan. Based on the vehicle trial production cycle experience library, maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes. Generate a process cycle library based on the production cycles of the different lines.

[0022] Optionally, the step of obtaining test plan information and annual plan from the model database, matching the test plan information and annual plan with the professional group's trial production cycle library, and automatically generating an initial trial production master plan includes:

[0023] The annual plan is obtained from the model database, and a target annual plan with a release status and a total number of remaining prototypes / prototypes greater than 0 is obtained based on the projects and trial production stage in the annual plan.

[0024] The upstream test data management system interface receives the test plan, iterates through the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data with the same project, the same stage, the same vehicle number and no master plan has been created;

[0025] Obtain the delivery schedule and trial production batch information for the prototype vehicle, and determine the batch delivery plan accordingly;

[0026] The delivery schedule and the trial production batch information are associated with the target annual plan, and the prototype vehicle number is matched with the test plan data to generate a batch delivery plan for each prototype vehicle.

[0027] Based on the start time of the prototype vehicle task, the system reverses the timeline and uses a preset algorithm device combined with the professional team's trial production cycle library to generate the initial trial production master plan for each prototype vehicle in real time.

[0028] Optionally, the step of initiating a vehicle trial production application based on the master trial production plan and generating a grid plan based on the vehicle trial production application includes:

[0029] Initiate a vehicle trial production application based on the aforementioned trial production master plan, obtain trial production BOM data and business progress information obtained through the upstream procurement system;

[0030] The preset algorithm device is invoked to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the whole vehicle trial production plan, and generate a grid plan for each component.

[0031] Optionally, the step of calling a preset algorithm device to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the vehicle trial production plan, and generating a grid plan for each component, includes:

[0032] Obtain the part information from the trial production BOM data, and obtain the parts list and parts procurement method from the part information;

[0033] The parts list and the parts procurement method are matched with the parts business cycle library corresponding to the vehicle trial production plan to obtain the initial grid plan corresponding to each seasonal plan time.

[0034] Based on the aforementioned business progress information, the current stage of the part and the actual completion time of each business procurement are calculated.

[0035] The warehouse module interface is called to obtain the arrival status of each part. Based on the initial grid plan, the actual completion time, and the arrival status, a grid plan for each component is generated.

[0036] Optionally, the step of calling the corresponding preset algorithm based on the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and automatically generating the corresponding initial plan for welding, final assembly, and shipment includes:

[0037] Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to obtain the first-level trial production process in the detailed table of the trial production master plan;

[0038] The processes of welding, final assembly, and delivery in the first-level trial production process are sorted in the earliest order, and a trial production task ledger is automatically generated.

[0039] Obtain the workshop calendar workdays and work hours, and determine the workable time period based on the workshop calendar workdays and work hours;

[0040] Calculate the planned start time and planned completion time for each production line based on the available working time and production cycle sequence.

[0041] After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for welding, final assembly and delivery is generated based on the adjusted planned start time, the planned completion time and the trial production task ledger.

[0042] Secondly, to achieve the above objectives, the present invention also proposes a multi-level linkage planning and control device, the multi-level linkage planning and control device comprising:

[0043] The master plan generation module is used to establish a model database for automatic scheduling of vehicle trial production plans and to automatically generate the master plan for vehicle production based on the model database.

[0044] The grid plan generation module is used to initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application.

[0045] The production plan generation module is used to call the corresponding preset algorithm based on the trial production application form published in the grid plan, match the process cycle library according to the preset algorithm, and automatically generate the initial version plan for welding, final assembly and delivery.

[0046] Thirdly, to achieve the above objectives, the present invention also proposes a multi-level linkage planning and control device, the multi-level linkage planning and control device comprising: a memory, a processor, and a multi-level linkage planning and control program stored in the memory and executable on the processor, the multi-level linkage planning and control program being configured to implement the steps of the multi-level linkage planning and control method described above.

[0047] Fourthly, to achieve the above objectives, the present invention also proposes a storage medium storing a multi-level linkage plan control program, wherein the multi-level linkage plan control program, when executed by a processor, implements the steps of the multi-level linkage plan control method described above.

[0048] The multi-level linkage planning and control method proposed in this invention establishes a model database for automatic scheduling of vehicle trial production plans. Based on this model database, a master trial production plan for the entire vehicle is automatically generated. A trial production application is initiated based on the master plan, and a grid plan is generated based on the application. The corresponding preset algorithm is invoked based on the published trial production applications in the grid plan, and the process cycle library is matched with the preset algorithm to automatically generate initial plans for welding, final assembly, and delivery. This ensures data consistency and linkage between different levels of plans, meets the planning and control needs of different roles at different stages, and improves the efficiency of trial production plan preparation and overall management. Through pre- and actual plan comparison analysis, timely and proactive risk warnings can be sent, effectively reducing the delivery risk of trial prototypes. Furthermore, based on big data model analysis of actual execution, reasonable cycles can be calculated more accurately and updated in the model cycle library, improving the accuracy of trial production plan scheduling and enhancing the efficiency of multi-level linkage planning and control. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention;

[0050] Figure 2 This is a flowchart illustrating the first embodiment of the multi-level linkage planning and control method of the present invention;

[0051] Figure 3 This is a flowchart illustrating the second embodiment of the multi-level linkage planning and control method of the present invention;

[0052] Figure 4This is a schematic diagram illustrating the generation of the pilot production master plan in the multi-level linkage planning and control method of the present invention;

[0053] Figure 5 This is a flowchart illustrating the third embodiment of the multi-level linkage planning and control method of the present invention;

[0054] Figure 6 This is a schematic diagram of the generation of a pilot grid plan in the multi-level linkage planning and control method of the present invention;

[0055] Figure 7 This is a flowchart illustrating the fourth embodiment of the multi-level linkage planning and control method of the present invention;

[0056] Figure 8 This is a schematic diagram of the automatic scheduling logic for trial production planning in the multi-level linkage planning and control method of the present invention;

[0057] Figure 9 This is a functional block diagram of the first embodiment of the multi-level linkage planning and control device of the present invention.

[0058] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0059] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0060] The solution of this invention mainly involves: establishing a model database for automatic scheduling of vehicle trial production plans; automatically generating a master trial production plan for vehicle production based on the model database; initiating a vehicle trial production application based on the master trial production plan; generating a grid plan based on the vehicle trial production application; calling the corresponding preset algorithm based on the published trial production application in the grid plan; matching the process cycle library based on the preset algorithm; and automatically generating initial plans for welding, final assembly, and delivery. This ensures data consistency and linkage between plans at different levels, meets the plan control needs of different roles at different stages, and improves the preparation and overall management of trial production plans. By improving efficiency, the system can proactively send risk warnings through pre- and actual comparison analysis of the plan, effectively reducing the delivery risk of prototype vehicles. Based on big data model analysis of actual execution, it can more accurately calculate reasonable cycles and update and improve the model cycle library, thereby improving the accuracy of prototype planning and scheduling and increasing the efficiency of multi-level linkage plan management. This solves the technical problems in existing technologies, such as the relatively simple vehicle planning scenario, inapplicability to complex multi-level plan management needs, lack of consideration for linkage with upstream test plans and main prototype plans, lack of top-down global plan linkage management, low management efficiency, lack of risk transparency, and waste of resources.

[0061] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention.

[0062] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU; a communication bus 1002; a user interface 1003; a network interface 1004; and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0063] Those skilled in the art will understand that Figure 1 The device structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0064] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating device, a network communication module, a user interface module, and a multi-level linkage planning and control program.

[0065] The device of this invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001 and performs the following operations:

[0066] Establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate the master trial production plan for vehicle production based on the model database;

[0067] Initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application;

[0068] Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding initial plan for welding, final assembly and delivery.

[0069] The device of the present invention, through processor 1001 calling the multi-level linkage plan control program stored in memory 1005, also performs the following operations:

[0070] Obtain the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan;

[0071] The model database for automatic scheduling of the whole vehicle trial production plan is constructed based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library.

[0072] The test plan information and annual plan are obtained from the model database, and the initial version of the trial production cycle library is automatically generated based on the test plan information and annual plan and matched with the professional group trial production cycle library.

[0073] The line-specific planning time of the initial trial production master plan is confirmed and fine-tuned to generate the final version of the trial production master plan.

[0074] The device of the present invention, through processor 1001 calling the multi-level linkage plan control program stored in memory 1005, also performs the following operations:

[0075] Obtain the specific and general attributes, procurement channels, and procurement methods of the parts corresponding to the vehicle trial production plan;

[0076] By combining the specific attributes of the part type, the procurement channel, and the procurement method with the historical cycle experience database, the business cycle corresponding to different types and procurement methods of parts is obtained, and a component business cycle database is generated based on the business cycle.

[0077] Obtain the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan;

[0078] By combining the project classification, the trial production stage, the trial production category, and whether it is the first batch information with the historical cycle experience database, the production cycle of the whole vehicle trial production process is obtained, and a professional group trial production cycle database is generated based on the production cycle.

[0079] Obtain the workshop plan, actual work plan, and holiday schedule corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, the actual work plan, and the holiday schedule;

[0080] Obtain the vehicle trial production cycle experience library corresponding to the vehicle trial production plan. Based on the vehicle trial production cycle experience library, maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes. Generate a process cycle library based on the production cycles of the different lines.

[0081] The device of the present invention, through processor 1001 calling the multi-level linkage plan control program stored in memory 1005, also performs the following operations:

[0082] The annual plan is obtained from the model database, and a target annual plan with a release status and a total number of remaining prototypes / prototypes greater than 0 is obtained based on the projects and trial production stage in the annual plan.

[0083] The upstream test data management system interface receives the test plan, iterates through the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data with the same project, the same stage, the same vehicle number and no master plan has been created;

[0084] Obtain the delivery schedule and trial production batch information for the prototype vehicle, and determine the batch delivery plan accordingly;

[0085] The delivery schedule and the trial production batch information are associated with the target annual plan, and the prototype vehicle number is matched with the test plan data to generate a batch delivery plan for each prototype vehicle.

[0086] Based on the start time of the prototype vehicle task, the system reverses the timeline and uses a preset algorithm device combined with the professional team's trial production cycle library to generate the initial trial production master plan for each prototype vehicle in real time.

[0087] The device of the present invention, through processor 1001 calling the multi-level linkage plan control program stored in memory 1005, also performs the following operations:

[0088] Initiate a vehicle trial production application based on the aforementioned trial production master plan, obtain trial production BOM data and business progress information obtained through the upstream procurement system;

[0089] The preset algorithm device is invoked to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the whole vehicle trial production plan, and generate a grid plan for each component.

[0090] The device of the present invention, through processor 1001 calling the multi-level linkage plan control program stored in memory 1005, also performs the following operations:

[0091] Obtain the part information from the trial production BOM data, and obtain the parts list and parts procurement method from the part information;

[0092] The parts list and the parts procurement method are matched with the parts business cycle library corresponding to the vehicle trial production plan to obtain the initial grid plan corresponding to each seasonal plan time.

[0093] Based on the aforementioned business progress information, the current stage of the part and the actual completion time of each business procurement are calculated.

[0094] The warehouse module interface is called to obtain the arrival status of each part. Based on the initial grid plan, the actual completion time, and the arrival status, a grid plan for each component is generated.

[0095] The device of the present invention, through processor 1001 calling the multi-level linkage plan control program stored in memory 1005, also performs the following operations:

[0096] Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to obtain the first-level trial production process in the detailed table of the trial production master plan;

[0097] The processes in the first-level trial production process, namely welding, final assembly, and delivery, are sorted in the earliest order to automatically generate a trial production task ledger.

[0098] Obtain the workshop calendar workdays and work hours, and determine the workable time period based on the workshop calendar workdays and work hours;

[0099] Calculate the planned start time and planned completion time for each production line based on the available working time and production cycle sequence.

[0100] After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for welding, final assembly and delivery is generated based on the adjusted planned start time, the planned completion time and the trial production task ledger.

[0101] This embodiment, through the above-described scheme, establishes a model database for automatic scheduling of vehicle trial production plans. Based on this model database, it automatically generates a master trial production plan for the entire vehicle. It then initiates a vehicle trial production application based on the master plan, generates a grid plan based on the application, and calls the corresponding preset algorithm based on the published trial production applications in the grid plan. This algorithm matches the process cycle library, automatically generating initial plans for welding, final assembly, and delivery. This ensures data consistency and linkage between plans at different levels, meets the planning and control needs of different roles at different stages, and improves the efficiency of trial production plan preparation and overall management. Through pre- and actual plan comparison analysis, it can proactively send risk warnings in a timely manner, effectively reducing the delivery risk of trial production prototypes. Furthermore, based on big data model analysis of actual execution, it can more accurately calculate reasonable cycles and update and improve the model cycle library, enhancing the accuracy of trial production plan scheduling and increasing the efficiency of multi-level linkage plan management.

[0102] Based on the above hardware structure, an embodiment of the multi-level linkage planning and control method of the present invention is proposed.

[0103] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the multi-level linkage planning and control method of the present invention.

[0104] In the first embodiment, the multi-level linkage plan control method includes the following steps:

[0105] Step S10: Establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate the master trial production plan for vehicle production based on the model database.

[0106] It should be noted that by establishing a model database, the master plan for trial production can be automatically generated. That is, after establishing a model database for automatic scheduling of vehicle trial production plans, the master plan for vehicle production can be automatically generated based on the model database.

[0107] Step S20: Initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application.

[0108] It should be understood that a vehicle trial production application is initiated based on the aforementioned master trial production plan, and a grid plan is then generated based on the aforementioned vehicle trial production application.

[0109] Step S30: Based on the trial production application form published in the grid plan, call the corresponding preset algorithm, match the process cycle library according to the preset algorithm, and automatically generate the initial version plan for welding, final assembly and delivery.

[0110] Understandably, the corresponding preset algorithm is invoked based on the trial production application form published in the grid plan. The preset algorithm can be matched with the process cycle library, thereby automatically generating the initial plan for welding, final assembly and delivery.

[0111] This embodiment, through the above-described scheme, establishes a model database for automatic scheduling of vehicle trial production plans. Based on this model database, it automatically generates a master trial production plan for the entire vehicle. It then initiates a vehicle trial production application based on the master plan, generates a grid plan based on the application, and calls the corresponding preset algorithm based on the published trial production applications in the grid plan. This algorithm matches the process cycle library, automatically generating initial plans for welding, final assembly, and delivery. This ensures data consistency and linkage between plans at different levels, meets the planning and control needs of different roles at different stages, and improves the efficiency of trial production plan preparation and overall management. Through pre- and actual plan comparison analysis, it can proactively send risk warnings in a timely manner, effectively reducing the delivery risk of trial production prototypes. Furthermore, based on big data model analysis of actual execution, it can more accurately calculate reasonable cycles and update and improve the model cycle library, enhancing the accuracy of trial production plan scheduling and increasing the efficiency of multi-level linkage plan management.

[0112] Furthermore, Figure 3 This is a flowchart illustrating the second embodiment of the multi-level linkage planning and control method of the present invention, as shown below. Figure 3 As shown, based on the first embodiment, a second embodiment of the multi-level linkage planning and control method of the present invention is proposed. In this embodiment, step S10 specifically includes the following steps:

[0113] Step S11: Obtain the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan.

[0114] It should be noted that after obtaining the vehicle trial production plan, one can obtain the corresponding parts business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library.

[0115] Furthermore, step S11 specifically includes the following steps:

[0116] Obtain the specific and general attributes, procurement channels, and procurement methods of the parts corresponding to the vehicle trial production plan;

[0117] By combining the specific attributes of the part type, the procurement channel, and the procurement method with the historical cycle experience database, the business cycle corresponding to different types and procurement methods of parts is obtained, and a component business cycle database is generated based on the business cycle.

[0118] Obtain the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan;

[0119] By combining the project classification, the trial production stage, the trial production category, and whether it is the first batch information with the historical cycle experience database, the production cycle of the whole vehicle trial production process is obtained, and a professional group trial production cycle database is generated based on the production cycle.

[0120] Obtain the workshop plan, actual work plan, and holiday schedule corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, the actual work plan, and the holiday schedule;

[0121] Obtain the vehicle trial production cycle experience library corresponding to the vehicle trial production plan. Based on the vehicle trial production cycle experience library, maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes. Generate a process cycle library based on the production cycles of the different lines.

[0122] Understandably, the formation of the business cycle database involves setting business cycles for different types of parts and different procurement methods based on the part type's general and specific attributes, procurement channels, procurement methods, etc., combined with a historical business procurement cycle experience database, thus forming a parts business cycle database.

[0123] It should be understood that the formation of the professional group trial production cycle library is specifically as follows: based on project classification, trial production stage, trial production category, and whether it is the first batch, combined with the historical cycle experience library, the production cycle of the whole vehicle trial production process is set to form the professional group trial production cycle library; the professional group cycle library covers the main cycles of the trial production process, such as data release, parts collection, quality inspection and material preparation, body welding, prototype assembly, off-line debugging, off-line verification, and prototype delivery.

[0124] It should be noted that the workshop calendar, specifically, is set up differently based on the workshop, actual work plan, and holiday arrangements, in order to realize the input conditions for automatic scheduling of plans.

[0125] Understandably, the process cycle library is formed by maintaining the production cycles of different lines under the welding, final assembly, and delivery routes according to the experience library of vehicle trial production cycles, based on different assembly routes.

[0126] Step S12: Construct a model database for automatically scheduling the vehicle trial production plan based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library.

[0127] It is understood that the model database for automatically scheduling the vehicle trial production plan can be generated through the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library.

[0128] Step S13: Obtain test plan information and annual plan from the model database, match the test plan information and annual plan with the professional group trial production cycle library, and automatically generate the initial trial production master plan.

[0129] It should be understood that the test plan information and annual plan are obtained from the model database, and the test plan information and annual plan can be matched with the professional group trial production cycle library to automatically generate the initial trial production master plan.

[0130] Furthermore, step S13 specifically includes the following steps:

[0131] The annual plan is obtained from the model database, and a target annual plan with a release status and a total number of remaining prototypes / prototypes greater than 0 is obtained based on the projects and trial production stage in the annual plan.

[0132] The upstream test data management system interface receives the test plan, iterates through the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data with the same project, the same stage, the same vehicle number and no master plan has been created;

[0133] Obtain the delivery schedule and trial production batch information for the prototype vehicle, and determine the batch delivery plan accordingly;

[0134] The delivery schedule and the trial production batch information are associated with the target annual plan, and the prototype vehicle number is matched with the test plan data to generate a batch delivery plan for each prototype vehicle.

[0135] Based on the start time of the prototype vehicle task, the system reverses the timeline and uses a preset algorithm device combined with the professional team's trial production cycle library to generate the initial trial production master plan for each prototype vehicle in real time.

[0136] It should be noted that, see Figure 4 , Figure 4 This is a schematic diagram illustrating the generation of the pilot production master plan in the multi-level linkage planning and control method of the present invention, as shown below. Figure 4 As shown, when creating a new trial production master plan, based on the projects and trial production stages in the annual plan, the annual plan with a release status and a remaining total number of prototype vehicles / machines greater than 0 is obtained. The test plan details transmitted from the upstream test data management system are traversed to match test plan data with the same project, the same stage, and the same prototype vehicle number that has not yet created a master plan.

[0137] In the specific implementation, assembly batches are set, the total number of prototype vehicles is divided by the total number of batches, and the number of prototype vehicles is equally distributed among all batches, taking into account both single batches and multiple batches. For cases where the division is not exact, the Math.floor function is used to obtain the largest integer after rounding down. Then, all batches are traversed, and the number of vehicles that is less than the largest integer is placed in the last batch. The number of vehicles in each batch can be freely edited, but it cannot exceed the total number of prototype vehicles.

[0138] It should be understood that, based on the prototype vehicle task start time working backwards, or the vehicle installation start time working forwards and backwards, a preset algorithm device is invoked in conjunction with the professional group's trial production cycle library to generate a trial production master plan for each prototype vehicle in real time. After confirmation, the trial production master plan is released and sent back to the upstream testing system to ensure the consistency and linkage between the plans of both parties.

[0139] Understandably, the test plan includes information such as: project number, trial production stage, trial production category, number of prototype vehicles, prototype vehicle number, test purpose, and start time of test tasks. The annual plan is obtained through the following methods: each project plan manager creates and publishes an annual trial production plan based on trial production needs, mainly including the number of prototype vehicles, delivery date, and batch number; based on the master trial production plan, a vehicle trial production application is initiated, and a grid plan is automatically generated by combining the parts business department's cycle library. At the same time, a preset algorithm device is called to match the process cycle library to automatically generate the initial version of the welding, final assembly, and delivery plan; based on the obtained test plan information and annual plan, the preset algorithm device is called to match the professional group's trial production cycle library to automatically generate the initial version of the master trial production plan.

[0140] Step S14: Confirm and fine-tune the line-specific planning time of the initial trial production master plan to generate the final version of the trial production master plan.

[0141] Understandably, after confirming and fine-tuning the line-specific schedule of the initial prototype master plan, the final version of the prototype master plan can be generated.

[0142] This embodiment, through the above-described scheme, acquires the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan; constructs a model database for automatically scheduling the vehicle trial production plan based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library; obtains test plan information and annual plan from the model database, matches the test plan information and annual plan with the professional group trial production cycle library, and automatically generates an initial version of the trial production master plan; confirms and fine-tunes the line-specific plan time of the initial version of the trial production master plan, and generates the final version of the trial production master plan. This ability to generate a final version of the trial production master plan ensures the consistency and linkage of data between plans at different levels, meets the plan management needs of different roles at different stages, and improves the efficiency of trial production plan preparation and overall management.

[0143] Furthermore, Figure 5 This is a flowchart illustrating the third embodiment of the multi-level linkage planning and control method of the present invention, as shown below. Figure 5 As shown, based on the first embodiment, a third embodiment of the multi-level linkage planning and control method of the present invention is proposed. In this embodiment, step S20 specifically includes the following steps:

[0144] Step S21: Initiate a vehicle trial production application according to the master trial production plan, and obtain trial production BOM data and business progress information obtained through the upstream procurement system.

[0145] It should be noted that the vehicle trial production application form is initiated based on the master trial production plan, combined with the trial production BOM data and business progress information obtained from the upstream procurement system.

[0146] Step S22: Call the preset algorithm device to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the whole vehicle trial production plan, and generate a grid plan for each component.

[0147] Understandably, by calling the preset algorithm device, matching the parts business cycle library, automatically generating a grid plan for each part, matching the progress of warehousing and delivery, and updating the parts delivery status in real time, it is easy to keep track of the progress of parts business procurement, delivery plans, and comparison with actual execution in real time.

[0148] Furthermore, step S22 specifically includes the following steps:

[0149] Obtain the part information from the trial production BOM data, and obtain the parts list and parts procurement method from the part information;

[0150] The parts list and the parts procurement method are matched with the parts business cycle library corresponding to the vehicle trial production plan to obtain the initial grid plan corresponding to each seasonal plan time.

[0151] Based on the aforementioned business progress information, the current stage of the part and the actual completion time of each business procurement are calculated.

[0152] The warehouse module interface is called to obtain the arrival status of each part. Based on the initial grid plan, the actual completion time, and the arrival status, a grid plan for each component is generated.

[0153] In the specific implementation, see Figure 6 , Figure 6 This is a schematic diagram of the pilot grid plan generation in the multi-level linkage planning and control method of the present invention, as shown below. Figure 6 As shown, after the trial production application is released, the part information under the application is obtained by matching the prototype vehicle number and model configuration of the trial production master plan in the application form with the corresponding project BOM list, which serves as the data source for the part list in the part grid plan; based on the obtained part list and part procurement method, the planned time of each stage is automatically calculated by matching the part business cycle to form the initial version of the grid plan; based on the part procurement progress of the corresponding documents obtained from the upstream procurement system, the current stage of the part and the actual completion time of each business procurement are automatically calculated, and if the plan is delayed, the risk is proactively warned and the trial production supervisor is notified; the warehousing module interface is called to obtain the part arrival status, and if the part has arrived, the part arrival time is obtained and the actual arrival time in the grid plan is updated.

[0154] This embodiment, through the above-described scheme, initiates a vehicle trial production application through the master trial production plan, obtains trial production BOM data and business progress information obtained through the upstream procurement system; it then calls a preset algorithm device to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the vehicle trial production plan, generating a grid plan for each component. This allows for rapid generation of grid plans, ensuring data consistency and linkage between plans at different levels, meeting the plan management needs of different roles at different stages, and improving the efficiency of trial production plan preparation and overall management.

[0155] Furthermore, Figure 7 This is a flowchart illustrating the fourth embodiment of the multi-level linkage planning and control method of the present invention, as shown below. Figure 7 As shown, based on the first embodiment, a fourth embodiment of the multi-level linkage planning and control method of the present invention is proposed. In this embodiment, step S30 specifically includes the following steps:

[0156] Step S31: Based on the trial production application form published in the grid plan, call the corresponding preset algorithm, match the process cycle library according to the preset algorithm, and obtain the first-level trial production process in the detailed table of the trial production master plan.

[0157] It should be noted that after obtaining the vehicle trial production application form, the trial production resource allocation reminder can be generated by combining the planned start time of each workshop in the trial production master plan. The assembly supervisor will then allocate the resources, mainly defining and maintaining the workstations, personnel, and production mode.

[0158] In the specific implementation, see Figure 8 , Figure 8 This is a schematic diagram of the automatic scheduling logic for trial production planning in the multi-level linkage planning and control method of the present invention, as shown below. Figure 8 As shown, based on the published vehicle trial production application form, resource allocation tasks are sent X days in advance according to the planned start time of each workshop in the master plan. Trial production workstations, personnel, production modes, etc. are allocated respectively. At the same time, combined with the process cycle library and workshop work calendar, the planned start time and planned completion time of each line process are calculated, and the trial production plan is automatically generated.

[0159] Step S32: Sort the processes of welding, final assembly and delivery in the first-level trial production process according to the earliest order, and automatically generate a trial production task ledger.

[0160] Understandably, based on the process cycle model library, the cycle of each process is matched, and the process is sorted according to the earliest `plandate_start` in the first-level trial production process in the trial production master plan details table, which is equal to "welding", "final assembly" and "shipment", and the trial production task ledger is automatically generated.

[0161] Step S33: Obtain the workshop calendar workdays and work hours, and determine the available work period based on the workshop calendar workdays and work hours.

[0162] It should be understood that by obtaining the workshop calendar workdays and work hours, the available work periods can be determined based on the workshop calendar workdays and work hours.

[0163] Step S34: Calculate the planned start time and planned completion time for each production line based on the available working time and production cycle sequence.

[0164] It is understandable that the planned start time and planned completion time of each line can be calculated based on the available working time and the production cycle sequence of the line.

[0165] Step S35: After the planned start time and the planned completion time are confirmed and adjusted, generate the corresponding initial plans for welding, final assembly and delivery based on the adjusted planned start time, the planned completion time and the trial production task ledger.

[0166] It should be understood that after the planned start time and the planned completion time are confirmed and adjusted, the corresponding initial plans for welding, final assembly and delivery can be generated based on the adjusted planned start time, the planned completion time and the trial production task ledger.

[0167] In practice, the available working time period is determined based on the workshop calendar working days and working hours. The planned start time and planned completion time of each line are calculated based on the start time of the working day and the production rhythm (in hours) of each line (line sequence), resulting in the initial version of the trial production plan. The planned time of each line is confirmed and adjusted to generate the final version of the trial production plan. The trial production plan is then generated and executed, and the execution results are synchronized to the main trial production plan, so that the trial production plan supervisor can keep abreast of the trial production progress and risks.

[0168] This embodiment, through the above scheme, calls the corresponding preset algorithm through the grid plan, matches the process cycle library according to the preset algorithm, and obtains the first-level trial production process in the detailed table of the trial production master plan; sorts the processes in the first-level trial production process that are equal to welding, final assembly, and delivery in the earliest order, and automatically generates a trial production task ledger; obtains the workshop calendar working days and working hours, and determines the working time period according to the workshop calendar working days and working hours; calculates the planned start time and planned completion time of each line according to the working time and the production cycle order of the line; after confirming and adjusting the planned start time and planned completion time, it is adjusted accordingly. The plan's start time, completion time, and trial production task ledger generate corresponding initial plans for welding, final assembly, and delivery. This ensures data consistency and linkage between different levels of plans, meets the plan control needs of different roles at different stages, improves the efficiency of trial production plan preparation and overall control, and through pre- and actual plan comparison analysis, timely and proactive risk warnings can be sent, effectively reducing the delivery risk of trial production prototypes. Based on big data model analysis of actual execution, reasonable cycles can be calculated more accurately and updated to the model cycle library, improving the accuracy of trial production plan scheduling and increasing the efficiency of multi-level linkage plan control.

[0169] Accordingly, the present invention further provides a multi-level linkage planning and control device.

[0170] Reference Figure 9 , Figure 9 This is a functional block diagram of the first embodiment of the multi-level linkage planning and control device of the present invention.

[0171] In the first embodiment of the multi-level linkage planning and control device of the present invention, the multi-level linkage planning and control device includes:

[0172] The master plan generation module 10 is used to establish a model database for automatic scheduling of vehicle trial production plans and to automatically generate a trial production master plan for vehicle production based on the model database.

[0173] The grid plan generation module 20 is used to initiate a vehicle trial production application based on the master trial production plan and generate a grid plan based on the vehicle trial production application.

[0174] The production plan generation module 30 is used to call the corresponding preset algorithm based on the trial production application form published in the grid plan, match the process cycle library according to the preset algorithm, and automatically generate the initial version plan for welding, final assembly and delivery.

[0175] The master plan generation module 10 is further configured to acquire the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan; construct a model database for automatic scheduling of the vehicle trial production plan based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library; acquire test plan information and annual plan from the model database; match the professional group trial production cycle library with the test plan information and the annual plan to automatically generate an initial version of the trial production master plan; confirm and fine-tune the line-specific plan time of the initial version of the trial production master plan to generate the final version of the trial production master plan.

[0176] The main plan generation module 10 is further configured to: acquire the part type-specific attributes, procurement channels, and procurement methods corresponding to the vehicle trial production plan; combine the part type-specific attributes, procurement channels, and procurement methods with a historical cycle experience database to obtain the business cycles corresponding to different types and procurement methods of parts, and generate a parts business cycle database based on the business cycles; acquire the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan; combine the project classification, trial production stage, trial production category, and whether it is the first batch information with the historical cycle experience database to obtain the production cycle of the vehicle trial production process, and generate a professional group trial production cycle database based on the production cycles; acquire the workshop plan, actual work plan, and holiday arrangements corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, actual work plan, and holiday arrangements; acquire the vehicle trial production cycle experience database corresponding to the vehicle trial production plan, and maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes based on the vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.

[0177] The master plan generation module 10 is further configured to obtain an annual plan from the model database, obtain a target annual plan with a release status and a remaining total number of prototype vehicles / prototypes greater than 0 based on the projects and trial production stages in the annual plan; receive test plans through the upstream test data management system interface, traverse the test plan details corresponding to the test plans transmitted by the upstream test data management system, and match test plan data with the same project, the same stage, the same vehicle number, and no master plan created; obtain the delivery time plan and trial production batch information of the prototype vehicles, and determine the batch delivery plan; associate the delivery time plan and the trial production batch information with the target annual plan, match the prototype vehicle number with the test plan data, and generate a batch delivery plan for each prototype vehicle; and generate an initial version of the master plan for trial production of each prototype vehicle in real time by reversing the start time of the prototype vehicle task and calling a preset algorithm device in conjunction with the professional group's trial production cycle library.

[0178] The grid plan generation module 20 is also used to initiate a whole vehicle trial production application according to the trial production master plan, obtain trial production BOM data and business progress information obtained through the upstream procurement system; call a preset algorithm device to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the whole vehicle trial production plan, and generate a grid plan for each component.

[0179] The grid plan generation module 20 is further configured to obtain part information from the trial production BOM data, obtain a parts list and parts procurement method from the parts information; match the parts list and parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain an initial grid plan corresponding to each seasonal plan time; calculate the current stage of the parts and the actual completion time of each business procurement based on the business progress information; call the warehousing module interface to obtain the parts arrival status of each part, and generate a grid plan for each part based on the initial grid plan, the actual completion time and the arrival status.

[0180] The production plan generation module 30 is further configured to: call the corresponding preset algorithm based on the trial production application form published in the grid plan; match the process cycle library according to the preset algorithm; obtain the first-level trial production process in the details table of the trial production master plan; sort the processes equal to welding, final assembly, and delivery in the first-level trial production process according to the earliest order; automatically generate a trial production task ledger; obtain the workshop calendar working days and working hours; determine the working time period based on the workshop calendar working days and working hours; calculate the planned start time and planned completion time of each line based on the working time and the production cycle order of the line; after the planned start time and planned completion time are confirmed and adjusted, generate the corresponding initial plan for welding, final assembly, and delivery based on the adjusted planned start time, planned completion time, and trial production task ledger.

[0181] The steps for implementing each functional module of the multi-level linkage planning and control device can be referred to in the various embodiments of the multi-level linkage planning and control method of the present invention, and will not be repeated here.

[0182] Furthermore, this embodiment of the invention also proposes a storage medium storing a multi-level linkage plan control program, which, when executed by a processor, performs the following operations:

[0183] Establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate the master trial production plan for vehicle production based on the model database;

[0184] Initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application;

[0185] Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding initial plan for welding, final assembly and delivery.

[0186] Furthermore, when the multi-level linkage plan control program is executed by the processor, it also performs the following operations:

[0187] Obtain the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan;

[0188] The model database for automatic scheduling of the whole vehicle trial production plan is constructed based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library.

[0189] The test plan information and annual plan are obtained from the model database, and the initial version of the trial production cycle library is automatically generated based on the test plan information and annual plan and matched with the professional group trial production cycle library.

[0190] The line-specific planning time of the initial trial production master plan is confirmed and fine-tuned to generate the final version of the trial production master plan.

[0191] Furthermore, when the multi-level linkage plan control program is executed by the processor, it also performs the following operations:

[0192] Obtain the specific and general attributes, procurement channels, and procurement methods of the parts corresponding to the vehicle trial production plan;

[0193] By combining the specific attributes of the part type, the procurement channel, and the procurement method with the historical cycle experience database, the business cycle corresponding to different types and procurement methods of parts is obtained, and a component business cycle database is generated based on the business cycle.

[0194] Obtain the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan;

[0195] By combining the project classification, the trial production stage, the trial production category, and whether it is the first batch information with the historical cycle experience database, the production cycle of the whole vehicle trial production process is obtained, and a professional group trial production cycle database is generated based on the production cycle.

[0196] Obtain the workshop plan, actual work plan, and holiday schedule corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, the actual work plan, and the holiday schedule;

[0197] Obtain the vehicle trial production cycle experience library corresponding to the vehicle trial production plan. Based on the vehicle trial production cycle experience library, maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes. Generate a process cycle library based on the production cycles of the different lines.

[0198] Furthermore, when the multi-level linkage plan control program is executed by the processor, it also performs the following operations:

[0199] The annual plan is obtained from the model database, and a target annual plan with a release status and a total number of remaining prototypes / prototypes greater than 0 is obtained based on the projects and trial production stage in the annual plan.

[0200] The upstream test data management system interface receives the test plan, iterates through the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data with the same project, the same stage, the same vehicle number and no master plan has been created;

[0201] Obtain the delivery schedule and trial production batch information for the prototype vehicle, and determine the batch delivery plan accordingly;

[0202] The delivery schedule and the trial production batch information are associated with the target annual plan, and the prototype vehicle number is matched with the test plan data to generate a batch delivery plan for each prototype vehicle.

[0203] Based on the start time of the prototype vehicle task, the system reverses the timeline and uses a preset algorithm device combined with the professional team's trial production cycle library to generate the initial trial production master plan for each prototype vehicle in real time.

[0204] Furthermore, when the multi-level linkage plan control program is executed by the processor, it also performs the following operations:

[0205] Initiate a vehicle trial production application based on the aforementioned trial production master plan, obtain trial production BOM data and business progress information obtained through the upstream procurement system;

[0206] The preset algorithm device is invoked to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the whole vehicle trial production plan, and generate a grid plan for each component.

[0207] Furthermore, when the multi-level linkage plan control program is executed by the processor, it also performs the following operations:

[0208] Obtain the part information from the trial production BOM data, and obtain the parts list and parts procurement method from the part information;

[0209] The parts list and the parts procurement method are matched with the parts business cycle library corresponding to the vehicle trial production plan to obtain the initial grid plan corresponding to each seasonal plan time.

[0210] Based on the aforementioned business progress information, the current stage of the part and the actual completion time of each business procurement are calculated.

[0211] The warehouse module interface is called to obtain the arrival status of each part. Based on the initial grid plan, the actual completion time, and the arrival status, a grid plan for each component is generated.

[0212] Furthermore, when the multi-level linkage plan control program is executed by the processor, it also performs the following operations:

[0213] Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to obtain the first-level trial production process in the detailed table of the trial production master plan;

[0214] The processes in the first-level trial production process, namely welding, final assembly, and delivery, are sorted in the earliest order to automatically generate a trial production task ledger.

[0215] Obtain the workshop calendar workdays and work hours, and determine the workable time period based on the workshop calendar workdays and work hours;

[0216] Calculate the planned start time and planned completion time for each production line based on the available working time and production cycle sequence.

[0217] After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for welding, final assembly and delivery is generated based on the adjusted planned start time, the planned completion time and the trial production task ledger.

[0218] Those skilled in the art will understand that all or part of the steps in the methods described above can be implemented by a program instructing related hardware. The program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium is a computer-readable storage medium, including: USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media capable of storing program code.

[0219] It should be noted that, in this document, 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. Unless otherwise specified, 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 that element.

[0220] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0221] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A multi-level linkage planning and control method, characterized in that, The multi-level linkage plan control method includes: Establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate the master trial production plan for vehicle production based on the model database; Initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application; Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding initial plan for welding, final assembly and delivery. The step of establishing a model database for automatic scheduling of vehicle trial production plans, and automatically generating a master trial production plan for the complete vehicle based on the model database, includes: Obtain the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan; The model database for automatically scheduling the vehicle trial production plan is constructed based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library. The test plan information and annual plan are obtained from the model database, and the initial version of the trial production cycle library is automatically generated based on the test plan information and annual plan and matched with the professional group trial production cycle library. The line-specific planning time of the initial trial production master plan is confirmed and fine-tuned to generate the final version of the trial production master plan; The acquisition of the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan includes: Obtain the specific and general attributes, procurement channels, and procurement methods of the parts corresponding to the vehicle trial production plan; By combining the specific attributes of the part type, the procurement channel, and the procurement method with the historical cycle experience database, the business cycle corresponding to different types and procurement methods of parts is obtained, and a component business cycle database is generated based on the business cycle. Obtain the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan; By combining the project classification, the trial production stage, the trial production category, and whether it is the first batch information with the historical cycle experience database, the production cycle of the whole vehicle trial production process is obtained, and a professional group trial production cycle database is generated based on the production cycle. Obtain the workshop plan, actual work plan, and holiday schedule corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, the actual work plan, and the holiday schedule; Obtain the vehicle trial production cycle experience library corresponding to the vehicle trial production plan. Based on the vehicle trial production cycle experience library, maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes. Generate a process cycle library based on the production cycles of the different lines.

2. The multi-level linkage planning and control method as described in claim 1, characterized in that, The process involves retrieving test plan information and annual plans from the model database, matching the test plan information and annual plans against the professional group's trial production cycle library, and automatically generating an initial trial production master plan, including: The annual plan is obtained from the model database, and a target annual plan with a release status and a total number of remaining prototypes / prototypes greater than 0 is obtained based on the projects and trial production stage in the annual plan. The upstream test data management system interface receives the test plan, iterates through the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data with the same project, the same stage, the same vehicle number and no master plan has been created; Obtain the delivery schedule and trial production batch information for the prototype vehicle, and determine the batch delivery plan accordingly; The delivery schedule and the trial production batch information are associated with the target annual plan, and the prototype vehicle number is matched with the test plan data to generate a batch delivery plan for each prototype vehicle. Based on the start time of the prototype vehicle task, the system reverses the timeline and uses a preset algorithm device combined with the professional team's trial production cycle library to generate the initial trial production master plan for each prototype vehicle in real time.

3. The multi-level linkage planning and control method as described in claim 1, characterized in that, The step of initiating a vehicle trial production application based on the master trial production plan and generating a grid plan based on the vehicle trial production application includes: Initiate a vehicle trial production application based on the aforementioned trial production master plan, obtain trial production BOM data and business progress information obtained through the upstream procurement system; The preset algorithm device is invoked to match the trial production BOM data and the business progress information with the component business cycle library corresponding to the whole vehicle trial production plan, and generate a grid plan for each component.

4. The multi-level linkage planning and control method as described in claim 3, characterized in that, The method of invoking a preset algorithm device matches the trial production BOM data and the business progress information with the component business cycle library corresponding to the vehicle trial production plan, generating a grid plan for each component, including: Obtain the part information from the trial production BOM data, and obtain the parts list and parts procurement method from the part information; The parts list and the parts procurement method are matched with the parts business cycle library corresponding to the vehicle trial production plan to obtain the initial grid plan corresponding to the planned time of each stage; Based on the aforementioned business progress information, the current stage of the part and the actual completion time of each business procurement are calculated. The warehouse module interface is called to obtain the arrival status of each part. Based on the initial grid plan, the actual completion time, and the arrival status, a grid plan for each component is generated.

5. The multi-level linkage planning and control method as described in claim 1, characterized in that, The step of calling the corresponding preset algorithm based on the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and automatically generating the corresponding initial plan for welding, final assembly, and delivery includes: Based on the trial production application form published in the grid plan, the corresponding preset algorithm is invoked, and the process cycle library is matched according to the preset algorithm to obtain the first-level trial production process in the detailed table of the trial production master plan; The processes of welding, final assembly, and delivery in the first-level trial production process are sorted in the earliest order, and a trial production task ledger is automatically generated. Obtain the workshop calendar workdays and work hours, and determine the workable time period based on the workshop calendar workdays and work hours; Calculate the planned start time and planned completion time for each production line based on the available working time and production cycle sequence. After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for welding, final assembly and delivery is generated based on the adjusted planned start time, the planned completion time and the trial production task ledger.

6. A multi-level linkage planning and control device, characterized in that, The multi-level linkage planning and control device includes: The master plan generation module is used to establish a model database for automatic scheduling of vehicle trial production plans and to automatically generate the master plan for vehicle production based on the model database. The grid plan generation module is used to initiate a vehicle trial production application based on the master trial production plan, and generate a grid plan based on the vehicle trial production application. The production plan generation module is used to call the corresponding preset algorithm based on the trial production application form published in the grid plan, match the process cycle library according to the preset algorithm, and automatically generate the corresponding initial plan for welding, final assembly and delivery. The master plan generation module is also used to obtain the component business cycle library, professional group trial production cycle library, workshop calendar, and process cycle library corresponding to the vehicle trial production plan; construct a model database for automatic scheduling of the vehicle trial production plan based on the component business cycle library, the professional group trial production cycle library, the workshop calendar, and the process cycle library; obtain test plan information and annual plan from the model database; match the test plan information and annual plan with the professional group trial production cycle library to automatically generate an initial version of the trial production master plan; confirm and fine-tune the line-specific plan time of the initial version of the trial production master plan to generate the final version of the trial production master plan; The master plan generation module is also used to obtain the special-purpose attributes, procurement channels, and procurement methods of the parts corresponding to the vehicle trial production plan; combine the special-purpose attributes, procurement channels, and procurement methods of the parts with a historical cycle experience database to obtain the business cycles corresponding to different types and procurement methods of parts, and generate a parts business cycle database based on the business cycles; obtain the project classification, trial production stage, trial production category, and whether it is the first batch information corresponding to the vehicle trial production plan; combine the project classification, trial production stage, trial production category, and whether it is the first batch information with the historical cycle experience database to obtain the production cycle of the vehicle trial production process, and generate a professional group trial production cycle database based on the production cycle; obtain the workshop plan, actual work plan, and holiday arrangements corresponding to the vehicle trial production plan, and generate a workshop calendar based on the workshop plan, actual work plan, and holiday arrangements; obtain the vehicle trial production cycle experience database corresponding to the vehicle trial production plan, and maintain the production cycles of different lines under the welding, final assembly, and delivery routes according to different assembly routes based on the vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.

7. A multi-level linkage planning and control device, characterized in that, The multi-level linkage planning and control device includes: a memory, a processor, and a multi-level linkage planning and control program stored in the memory and executable on the processor. The multi-level linkage planning and control program is configured to implement the steps of the multi-level linkage planning and control method as described in any one of claims 1 to 5.

8. A storage medium, characterized in that, The storage medium stores a multi-level linkage plan control program, which, when executed by a processor, implements the steps of the multi-level linkage plan control method as described in any one of claims 1 to 5.

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