Multi-level linkage plan management and control method, device and equipment and storage medium
By establishing a model database and preset algorithm for automatic scheduling of vehicle trial plan, a linked trial master plan and grid plan is generated, which solves the problem of singleness of multi-level planning control needs, and improves the preparation and control of vehicle trial plan. Efficiency reduces risks and resource waste.
Patent Information
- Application Number
- CN202411315987.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2044-09-20
AI Technical Summary
In the existing technology, the vehicle planning scenario is relatively single, and complex multi-level planning control needs are not applicable. The linkage with upstream experimental plans and trial master plans is not considered, resulting in low control efficiency, opaque risks, and waste of resources.
By establishing a model database for automatic schedule of vehicle trial plan, automatically generate a trial master plan based on the model database, and initiate a trial master plan based on the trial master plan, generate a grid plan, call a preset algorithm to match the process cycle library, and automatically generate welding, The initial version of the assembly and installation plan ensures the consistency and linkage of data between plans at different levels.
Improve the efficiency of trial planning and overall control, send risk warnings in a timely manner through the planned actual comparison and analysis, reduce the delivery risks of trial sample vehicles, accurately calculate reasonable cycles, update the model cycle database, and improve the accuracy and control of multi-level linkage planning and control efficiency.
Smart Images

Figure CN119204553A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of vehicle manufacturing, and in particular to a multi-level linkage planning control method, device, equipment and storage medium. Background Art
[0002] During the vehicle trial production process, plan control runs through the entire business from the beginning to the end, covering annual plans, trial production master plans, monthly plans, grid plans, production plans, etc. Traditional plan management uses Excel to collect offline information, with low plan control efficiency and poor linkage between multi-level plans. Progress risks require offline tracking by multiple professionals including the project team, trial production, and procurement.
[0003] An existing method for linkage adjustment of production schedules includes: obtaining a main process in an initial production schedule, wherein the main process includes a plurality of work units; adjusting the time of the main process and the work units according to current production capacity to generate a first production schedule; comparing the first production schedule with the initial production schedule, shifting the time of unfinished work units in the first production schedule to generate a second production schedule; guiding production operations according to the second production schedule; and solving the problem of lack of flexibility in adjusting production schedules in the prior art, realizing linkage adjustment of production schedules, and improving production efficiency.
[0004] However, the above method is only applicable to the generation plan control of the execution layer of the workshop of manufacturing enterprises. The scenario is relatively simple and is not suitable for complex multi-level plan control needs. It does not consider the linkage with upstream test plans and trial production master plans, lacks top-down global plan linkage control, has low control efficiency, and has opaque risks, resulting in waste of resources. Summary of the invention
[0005] The main purpose of the present invention is to provide a multi-level linkage planning control method, device, equipment and storage medium, aiming to solve the technical problems in the prior art that the whole vehicle planning scenario is relatively single, is not suitable for complex multi-level planning control needs, does not consider the linkage with upstream test plans and trial production main plans, lacks top-down global planning linkage control, has low control efficiency, is opaque in 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] Establishing a model database for automatic scheduling of vehicle trial production plans, and automatically generating a trial production master plan for vehicle production based on the model database;
[0008] Initiate a vehicle trial production application according to the trial production master plan, and generate a grid plan according to the vehicle trial production application;
[0009] The corresponding preset algorithm is called according to the trial production application form published in the grid plan, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding preliminary 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 trial production master plan for vehicle production according to the model database includes:
[0011] Obtain the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the vehicle trial production plan;
[0012] Constructing a model database for automatic scheduling of vehicle trial production plan according to the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library;
[0013] Acquire test plan information and annual plan from the model database, match the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generate a preliminary trial production master plan;
[0014] Confirm and fine-tune the line-specific planning time of the initial version of the trial production master plan to generate the final version of the trial production master plan.
[0015] Optionally, the obtaining of the parts 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 attributes, procurement channels and procurement methods of the parts types corresponding to the vehicle trial production plan;
[0017] Combine the specific attributes of the part type, the procurement path and the procurement method with the historical cycle experience database to obtain the business cycles corresponding to parts of different types and different procurement methods, and generate a parts business cycle library based on the business cycles;
[0018] Obtain the project classification, trial production stage, trial production category and whether it is the first batch of information corresponding to the vehicle trial production plan;
[0019] The project classification, the trial production stage, the trial production category and whether it is the first batch of information are combined with the historical cycle experience database to obtain the production cycle of the whole vehicle trial production process, and generate a professional group trial production cycle library according to the production cycle;
[0020] Obtaining a workshop plan, an actual work plan, and a holiday schedule corresponding to the vehicle trial production plan, and generating a workshop calendar according to the workshop plan, the actual work plan, and the holiday schedule;
[0021] Obtain a complete vehicle trial production cycle experience database corresponding to the complete vehicle trial production plan, and maintain production cycles of different lines under welding, final assembly, and shipping routes according to different assembly routes based on the complete vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.
[0022] Optionally, the acquiring of the test plan information and the annual plan from the model database, matching the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generating a preliminary trial production master plan includes:
[0023] Obtain an annual plan from the model database, and obtain a target annual plan with a release status and a total number of remaining prototypes greater than 0 according to the projects and trial production stages in the annual plan;
[0024] The upstream test data management system interface receives the test plan, traverses the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data of the same project, the same stage, the same vehicle number and no master plan is created;
[0025] Obtain the delivery schedule and trial production batch information of the prototype vehicle, and determine the batch delivery schedule accordingly;
[0026] Associating the delivery time plan with the trial production batch information according to the target annual plan, matching the sample vehicle number according to the test plan data, and generating a batch delivery plan for each sample vehicle;
[0027] According to the reverse order of the start time of the prototype vehicle task, the preset algorithm device is called in combination with the professional group trial production cycle library to generate the initial version of the trial production master plan for each prototype vehicle in real time.
[0028] Optionally, initiating a vehicle trial production application according to the trial production master plan, and generating a grid plan according to the vehicle trial production application, includes:
[0029] Initiate a 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;
[0030] The preset algorithm device is called to match the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan to generate a grid plan for each part.
[0031] Optionally, the calling of a preset algorithm device matches the trial production BOM data and the business progress information with a parts business cycle library corresponding to the vehicle trial production plan to generate a grid plan for each part, including:
[0032] Obtaining part information in the trial production BOM data, and obtaining a parts list and a parts procurement method from the part information;
[0033] Matching the parts list and the parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain a preliminary grid plan corresponding to the seasonal change plan time;
[0034] Calculate the current stage of the parts and the actual completion time of each business purchase according to the business progress information;
[0035] The warehouse module interface is called to obtain the arrival status of each part, and a grid plan for each component is generated according to the initial grid plan, the actual completion time and the arrival status.
[0036] Optionally, calling a corresponding preset algorithm according to the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and automatically generating a preliminary plan for corresponding welding, final assembly and delivery, including:
[0037] Calling a corresponding preset algorithm according to the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and obtaining 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] Obtaining the workshop calendar working days and working hours, and determining the available working time period according to the workshop calendar working days and the working hours;
[0040] Calculate the planned start time and the planned completion time of each line according to the available working time and the production rhythm sequence of the line;
[0041] After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for corresponding welding, final assembly and delivery is generated according to the adjusted planned start time, planned completion time and trial production task ledger.
[0042] In a second aspect, in order to achieve the above-mentioned purpose, the present invention further proposes a multi-level linkage plan control device, the multi-level linkage plan control device comprising:
[0043] A master plan generation module is used to establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate a trial production master plan for vehicle production based on the model database;
[0044] A grid plan generating module, used for initiating a vehicle trial production application according to the trial production master plan, and generating a grid plan according to the vehicle trial production application;
[0045] The production plan generation module is used to call the corresponding preset algorithm according to 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 preliminary plan for welding, final assembly and delivery.
[0046] In the third aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a multi-level linkage plan control device, which includes: a memory, a processor, and a multi-level linkage plan control program stored in the memory and executable on the processor, and the multi-level linkage plan control program is configured to implement the steps of the multi-level linkage plan control method described above.
[0047] In a fourth aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a multi-level linkage planning control program is stored, and when the multi-level linkage planning control program is executed by a processor, the steps of the multi-level linkage planning control method described above are implemented.
[0048] The multi-level linkage plan control method proposed in the present invention establishes a model database for automatic scheduling of whole vehicle trial production plans, automatically generates a trial production master plan for whole vehicle production according to the model database; initiates a whole vehicle trial production application according to the trial production master plan, and generates a grid plan according to the whole vehicle trial production application; calls the corresponding preset algorithm according to the trial production application form published in the grid plan, matches the process cycle library according to the preset algorithm, and automatically generates the corresponding welding, assembly and delivery preliminary plans, which can ensure the consistency and linkage of data between plans at different levels, meet the planning and control needs of different roles at different stages, improve the efficiency of trial production plan preparation and overall control, and can send risk warnings in a timely and proactive manner through comparative analysis of plans between predictions and actualities, which can effectively reduce the delivery risk of trial production prototypes, and can more accurately calculate reasonable cycles based on the big data model analysis of actual execution conditions, and update and improve the model cycle library, thereby improving the accuracy of trial production plan scheduling and the efficiency of multi-level linkage plan control. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention;
[0050] Figure 2 It is a flowchart of the first embodiment of the multi-level linkage planning control method of the present invention;
[0051] Figure 3 It is a flowchart of the second embodiment of the multi-level linkage planning control method of the present invention;
[0052] Figure 4A schematic diagram of generating a trial master plan in the multi-level linkage plan control method of the present invention;
[0053] Figure 5 It is a flowchart of the third embodiment of the multi-level linkage planning control method of the present invention;
[0054] Figure 6 A schematic diagram of trial-produced grid plan generation in the multi-level linkage plan control method of the present invention;
[0055] Figure 7 It is a flowchart of the fourth embodiment of the multi-level linkage planning control method of the present invention;
[0056] Figure 8 It is a logic diagram of automatic scheduling of trial production plan in the multi-level linkage plan control method of the present invention;
[0057] Fig. 9 It is a functional module diagram of the first embodiment of the multi-level linkage planning control device of the present invention.
[0058] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0059] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.
[0060] The solution of the embodiment of the present invention is mainly as follows: by establishing a model database for automatic scheduling of whole vehicle trial production plan, a trial production master plan for whole vehicle production is automatically generated according to the model database; a whole vehicle trial production application is initiated according to the trial production master plan, and a grid plan is generated according to the whole vehicle trial production application; a corresponding preset algorithm is called according to the trial production application form published in the grid plan, and a process cycle library is matched according to the preset algorithm to automatically generate a preliminary plan for corresponding welding, final assembly and dispatching, which can ensure the consistency and linkage of data between plans at different levels, meet the planning control needs of different roles at different stages, and improve the preparation and overall management of trial production plans. Control efficiency. Through the comparison and analysis of the plan between prediction and actuality, risk warnings can be sent in a timely and proactive manner, which can effectively reduce the delivery risk of trial-produced vehicles. According to the big data model analysis of the actual execution situation, a reasonable cycle can be calculated more accurately and updated to the model cycle library, which improves the accuracy of trial-production plan scheduling and the efficiency of multi-level linkage plan management and control. It solves the technical problems that the existing technology has relatively single vehicle planning scenarios, is not suitable for complex multi-level plan management and control needs, does not consider the linkage with upstream test plans and trial-production main plans, lacks top-down global plan linkage management and control, has low management and control efficiency, and has opaque risks, which causes waste of resources.
[0061] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment 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. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory, or it may be a stable memory (Non-Volatile Memory), such as a disk memory. The memory 1005 may optionally 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 in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.
[0064] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating device, a network communication module, a user interface module, and a multi-level linkage plan management and control program.
[0065] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and performs the following operations:
[0066] Establishing a model database for automatic scheduling of vehicle trial production plans, and automatically generating a trial production master plan for vehicle production based on the model database;
[0067] Initiate a vehicle trial production application according to the trial production master plan, and generate a grid plan according to the vehicle trial production application;
[0068] The corresponding preset algorithm is called according to the trial production application form published in the grid plan, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding preliminary plan for welding, final assembly and delivery.
[0069] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and also performs the following operations:
[0070] Obtain the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the vehicle trial production plan;
[0071] Constructing a model database for automatic scheduling of vehicle trial production plan according to the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library;
[0072] Acquire test plan information and annual plan from the model database, match the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generate a preliminary trial production master plan;
[0073] Confirm and fine-tune the line-specific planning time of the initial version of the trial production master plan to generate the final version of the trial production master plan.
[0074] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and also performs the following operations:
[0075] Obtain the specific attributes, procurement channels and procurement methods of the parts types corresponding to the vehicle trial production plan;
[0076] Combine the specific attributes of the part type, the procurement path and the procurement method with the historical cycle experience database to obtain the business cycles corresponding to parts of different types and different procurement methods, and generate a parts business cycle library based on the business cycles;
[0077] Obtain the project classification, trial production stage, trial production category and whether it is the first batch of information corresponding to the vehicle trial production plan;
[0078] The project classification, the trial production stage, the trial production category and whether it is the first batch of information are combined with the historical cycle experience database to obtain the production cycle of the whole vehicle trial production process, and generate a professional group trial production cycle library according to the production cycle;
[0079] Obtaining a workshop plan, an actual work plan, and a holiday schedule corresponding to the vehicle trial production plan, and generating a workshop calendar according to the workshop plan, the actual work plan, and the holiday schedule;
[0080] Obtain a complete vehicle trial production cycle experience database corresponding to the complete vehicle trial production plan, and maintain production cycles of different lines under welding, final assembly, and shipping routes according to different assembly routes based on the complete vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.
[0081] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and also performs the following operations:
[0082] Obtain an annual plan from the model database, and obtain a target annual plan with a release status and a total number of remaining prototypes greater than 0 according to the projects and trial production stages in the annual plan;
[0083] The upstream test data management system interface receives the test plan, traverses the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data of the same project, the same stage, the same vehicle number and for which the master plan has not been created;
[0084] Obtain the delivery schedule and trial production batch information of the prototype vehicle, and determine the batch delivery schedule accordingly;
[0085] Associating the delivery time plan with the trial production batch information according to the target annual plan, matching the sample vehicle number according to the test plan data, and generating a batch delivery plan for each sample vehicle;
[0086] According to the reverse order of the start time of the prototype vehicle task, the preset algorithm device is called in combination with the professional group trial production cycle library to generate the initial version of the trial production master plan for each prototype vehicle in real time.
[0087] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and also performs the following operations:
[0088] Initiate a 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;
[0089] The preset algorithm device is called to match the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan to generate a grid plan for each part.
[0090] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and also performs the following operations:
[0091] Obtaining part information in the trial production BOM data, and obtaining a parts list and a parts procurement method from the part information;
[0092] Matching the parts list and the parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain a preliminary grid plan corresponding to the seasonal change plan time;
[0093] Calculate the current stage of the parts and the actual completion time of each business purchase according to the business progress information;
[0094] The warehouse module interface is called to obtain the arrival status of each part, and a grid plan for each component is generated according to the initial grid plan, the actual completion time and the arrival status.
[0095] The device of the present invention calls the multi-level linkage plan control program stored in the memory 1005 through the processor 1001, and also performs the following operations:
[0096] Calling a corresponding preset algorithm according to the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and obtaining the first-level trial production process in the detailed table of the trial production master plan;
[0097] 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;
[0098] Obtaining the workshop calendar working days and working hours, and determining the available working time period according to the workshop calendar working days and the working hours;
[0099] Calculate the planned start time and the planned completion time of each line according to the available working time and the production rhythm sequence of the line;
[0100] After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for corresponding welding, final assembly and delivery is generated according to the adjusted planned start time, planned completion time and trial production task ledger.
[0101] Through the above scheme, this embodiment establishes a model database for automatic scheduling of vehicle trial production plans, automatically generates a trial production master plan for vehicle production according to the model database; initiates a vehicle trial production application according to the trial production master plan, and generates a grid plan according to the vehicle trial production application; calls the corresponding preset algorithm according to the trial production application form published in the grid plan, matches the process cycle library according to the preset algorithm, and automatically generates the corresponding welding, assembly and delivery preliminary plans, which can ensure the consistency and linkage of data between plans at different levels, meet the planning and control needs of different roles at different stages, improve the efficiency of trial production plan preparation and overall control, and can send risk warnings in a timely and proactive manner through comparative analysis of plans between predictions and actualities, effectively reduce the risk of trial production sample vehicle delivery, and more accurately calculate a reasonable cycle based on the big data model analysis of actual execution conditions, and update and improve the model cycle library, thereby improving the accuracy of trial production plan scheduling and the efficiency of multi-level linkage plan control.
[0102] Based on the above hardware structure, an embodiment of the multi-level linkage planning control method of the present invention is proposed.
[0103] Reference Figure 2 , Figure 2 It is a flowchart of the first embodiment of the multi-level linkage planning control method of the present invention.
[0104] In a 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 a trial production master plan for vehicle production based on the model database.
[0106] It should be noted that by establishing a model database, the automatic generation of a professional trial production master plan can be achieved. That is, after establishing a model database for automatic scheduling of vehicle trial production plans, the trial production master plan for vehicle production can be automatically generated based on the model database.
[0107] Step S20: Initiate a vehicle trial production application according to the trial production master plan, and generate a grid plan according to the vehicle trial production application.
[0108] It should be understood that a whole vehicle trial production application is initiated based on the trial production master plan, and then a grid plan is generated based on the whole vehicle trial production application.
[0109] Step S30: calling the corresponding preset algorithm according to 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 preliminary plan for welding, final assembly and delivery.
[0110] It can be understood that the corresponding preset algorithm is called according to the trial production application form published in the grid plan, and the process cycle library can be matched according to the preset algorithm to automatically generate the corresponding preliminary plan for welding, final assembly and delivery.
[0111] Through the above scheme, this embodiment establishes a model database for automatic scheduling of vehicle trial production plans, automatically generates a trial production master plan for vehicle production according to the model database; initiates a vehicle trial production application according to the trial production master plan, and generates a grid plan according to the vehicle trial production application; calls the corresponding preset algorithm according to the trial production application form published in the grid plan, matches the process cycle library according to the preset algorithm, and automatically generates the corresponding welding, assembly and delivery preliminary plans, which can ensure the consistency and linkage of data between plans at different levels, meet the planning and control needs of different roles at different stages, improve the efficiency of trial production plan preparation and overall control, and can send risk warnings in a timely and proactive manner through comparative analysis of plans between predictions and actualities, effectively reduce the risk of trial production sample vehicle delivery, and more accurately calculate a reasonable cycle based on the big data model analysis of actual execution conditions, and update and improve the model cycle library, thereby improving the accuracy of trial production plan scheduling and the efficiency of multi-level linkage plan control.
[0112] Further, Figure 3 FIG. 1 is a flow chart of a second embodiment of the multi-level linkage planning control method of the present invention. Figure 3 As shown, a second embodiment of the multi-level linkage plan control method of the present invention is proposed based on the first embodiment. In this embodiment, step S10 specifically includes the following steps:
[0113] Step S11, obtaining the parts 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 whole vehicle trial production plan, the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the whole vehicle trial production plan can be obtained.
[0115] Furthermore, the step S11 specifically includes the following steps:
[0116] Obtain the specific attributes, procurement channels and procurement methods of the parts types corresponding to the vehicle trial production plan;
[0117] Combine the specific attributes of the part type, the procurement path and the procurement method with the historical cycle experience database to obtain the business cycles corresponding to parts of different types and different procurement methods, and generate a parts business cycle library based on the business cycles;
[0118] Obtain the project classification, trial production stage, trial production category and whether it is the first batch of information corresponding to the vehicle trial production plan;
[0119] The project classification, the trial production stage, the trial production category and whether it is the first batch of information are combined with the historical cycle experience database to obtain the production cycle of the whole vehicle trial production process, and generate a professional group trial production cycle library according to the production cycle;
[0120] Obtaining a workshop plan, an actual work plan, and a holiday schedule corresponding to the vehicle trial production plan, and generating a workshop calendar according to the workshop plan, the actual work plan, and the holiday schedule;
[0121] Obtain a complete vehicle trial production cycle experience database corresponding to the complete vehicle trial production plan, and maintain production cycles of different lines under welding, final assembly, and shipping routes according to different assembly routes based on the complete vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.
[0122] It can be understood that the formation of the business cycle library is to set the business cycles corresponding to parts of different types and different procurement methods according to the specific attributes of the part type, procurement channels, procurement methods, etc., combined with the historical business procurement cycle experience library, to form a parts business cycle library.
[0123] It should be understood that the formation of the professional group trial production cycle library is, specifically, to set the production cycle of the whole vehicle trial production process according to the project classification, trial production stage, trial production category, whether it is the first batch, and combine the historical cycle experience library 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 assembly, 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, different workshop calendars are set according to the workshop, actual work plan and holiday arrangement, which are used to realize the automatic scheduling input conditions of the plan.
[0125] It can be understood that the formation of the process cycle library is, specifically, based on the vehicle trial production cycle experience library, according to different assembly routes, maintaining the production cycles of different lines under the welding, final assembly, and delivery routes respectively to form a process cycle library.
[0126] Step S12: constructing a model database for automatic scheduling of the vehicle trial production plan according to the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library.
[0127] It can be understood that a model database for constructing automatic scheduling of the vehicle trial production plan can be generated through the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library.
[0128] Step S13, obtaining the test plan information and the annual plan from the model database, matching the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generating a preliminary trial production master plan.
[0129] It should be understood that the test plan information and the annual plan are obtained from the model database, and the professional group trial production cycle library can be matched according to the test plan information and the annual plan to automatically generate the initial version of the trial production master plan.
[0130] Furthermore, the step S13 specifically includes the following steps:
[0131] Obtain an annual plan from the model database, and obtain a target annual plan with a release status and a total number of remaining prototypes greater than 0 according to the projects and trial production stages in the annual plan;
[0132] The upstream test data management system interface receives the test plan, traverses the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data of the same project, the same stage, the same vehicle number and for which the master plan has not been created;
[0133] Obtain the delivery schedule and trial production batch information of the prototype vehicle, and determine the batch delivery schedule accordingly;
[0134] Associating the delivery time plan with the trial production batch information according to the target annual plan, matching the sample vehicle number according to the test plan data, and generating a batch delivery plan for each sample vehicle;
[0135] According to the reverse order of the start time of the prototype vehicle task, the preset algorithm device is called in combination with the professional group trial production cycle library to generate the initial version of the 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 of the pilot master plan generation in the multi-level linkage plan control method of the present invention, such as Figure 4 As shown, when a new trial production master plan is created, the annual plan with a release status and a total number of remaining prototypes / machines greater than 0 is obtained according to the projects and trial production stages in the annual plan, and the test plan details transmitted by the upstream test data management system are traversed to match the test plan data of the same project, the same stage and prototype number and for which a master plan has not been created.
[0137] In the specific implementation, the assembly batch is set, the total number of sample vehicles is divided by the total number of batches, and the number of sample vehicles is evenly divided into all batches, taking into account both single batches and multiple batches. For the case of non-divisibility, the Math.floor function is used to get the maximum integer rounded down, and then all the batches are traversed, and the number that is less than the maximum integer is placed in the last batch. The number of each batch can be freely edited, but it cannot be greater than the total number of sample vehicles.
[0138] It should be understood that the master trial plan for each prototype vehicle is generated in real time based on the reverse order of the prototype vehicle task start time or the forward or reverse order of the loading start time, and the preset algorithm device is called in combination with the professional group trial production cycle library. The master trial production plan is released after confirmation and sent back to the upstream test system to ensure the consistency and linkage of the plans of both parties.
[0139] It can be understood that the test plan includes information such as project number, trial production stage, trial production category, number of prototypes, prototype number, test purpose, and start time of the test task. The annual plan acquisition method includes that each project plan supervisor creates and publishes an annual trial production plan based on the trial production needs, which mainly includes the number of prototypes, delivery date, and batch number. Based on the trial production master plan, a vehicle trial production application is initiated, and a grid plan is automatically generated in combination with the cycle library of the parts and components business department. At the same time, the preset algorithm device is called to match the process cycle library to automatically generate the welding, assembly, and delivery plan. Based on the acquired test plan information and annual plan, the preset algorithm device is called to match the professional group trial production cycle library to automatically generate the initial trial production master plan.
[0140] Step S14: confirm and fine-tune the line-specific planning time of the preliminary version of the trial production master plan to generate a final version of the trial production master plan.
[0141] It can be understood that after confirming and fine-tuning the line-specific planning time of the initial version of the trial production master plan, the final version of the trial production master plan can be generated.
[0142] Through the above scheme, this embodiment obtains the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the whole vehicle trial production plan; constructs a model database for automatic scheduling of the whole vehicle trial production plan according to the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library; obtains the test plan information and the annual plan from the model database, matches the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generates a preliminary trial production master plan; confirms and fine-tunes the line-specific planning time of the preliminary trial production master plan to generate the final version of the trial production master plan, and can generate the final version of the trial production master plan, ensuring the consistency and linkage of data between plans at different levels, meeting the planning control needs of different roles at different stages, and improving the efficiency of trial production plan preparation and overall control.
[0143] Further, Figure 5 FIG. 1 is a flow chart of a third embodiment of the multi-level linkage planning control method of the present invention. Figure 5 As shown, a third embodiment of the multi-level linkage plan control method of the present invention is proposed based on the first embodiment. In this embodiment, the step S20 specifically includes the following steps:
[0144] Step S21: Initiate a 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.
[0145] It should be noted that the vehicle trial production application form is initiated based on the trial production master plan, combined with the trial production BOM data and the business progress information obtained from the upstream procurement system.
[0146] Step S22, calling a preset algorithm device to match the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan, and generating a grid plan for each part.
[0147] It can be understood that calling the preset algorithm device, matching the parts business cycle library, automatically generating a grid plan for each part, matching the warehouse arrival progress, and updating the parts arrival status in real time makes it easier to grasp the parts business procurement progress, arrival plan, and comparison with the actual execution in real time.
[0148] Furthermore, the step S22 specifically includes the following steps:
[0149] Obtaining part information in the trial production BOM data, and obtaining a parts list and a parts procurement method from the part information;
[0150] Matching the parts list and the parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain a preliminary grid plan corresponding to the seasonal change plan time;
[0151] Calculate the current stage of the parts and the actual completion time of each business purchase according to the business progress information;
[0152] The warehouse module interface is called to obtain the arrival status of each part, and a grid plan for each component is generated according to the initial grid plan, the actual completion time and the arrival status.
[0153] In the specific implementation, see Figure 6 , Figure 6 This is a schematic diagram of trial-produced grid plan generation in the multi-level linkage plan control method of the present invention, such as Figure 6 As shown in the figure, after the trial production application is released, the parts information under the application form is obtained from the BOM list of the corresponding project in combination with the sample vehicle number and vehicle model configuration of the trial production master plan in the application form, which is used as the data source of the parts list in the parts grid plan; according to the obtained parts list and parts procurement method, the parts business cycle is matched to automatically calculate the planned time of each link to form the initial version of the grid plan; according to the progress of parts procurement of the corresponding documents obtained from the upstream procurement system, the current link of the parts and the actual completion time of each business procurement are automatically calculated, and if the plan is delayed, the risk is actively warned and the person in charge of the trial production is reminded; the warehouse module interface is called to obtain the arrival status of the parts. If it has arrived, the arrival time of the parts is obtained to the actual arrival time in the grid plan.
[0154] Through the above scheme, this embodiment initiates a vehicle trial production application through the trial production master plan, obtains trial production BOM data and business progress information obtained through the upstream procurement system; calls a preset algorithm device to match the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan, and generates a grid plan for each part. The grid plan can be generated quickly, ensuring the consistency and linkage of data between plans at different levels, meeting the planning control needs of different roles at different stages, and improving the efficiency of trial production plan preparation and overall control.
[0155] Further, Figure 7 FIG. 4 is a flow chart of a fourth embodiment of the multi-level linkage planning control method of the present invention. Figure 7 As shown, a fourth embodiment of the multi-level linkage plan control method of the present invention is proposed based on the first embodiment. In this embodiment, step S30 specifically includes the following steps:
[0156] Step S31, calling the corresponding preset algorithm according to the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and obtaining the first-level trial production process in the detailed list 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 to-do reminder can be generated in combination with the planned start time of each workshop in the trial production master plan. The assembly supervisor will allocate resources and mainly define and maintain workstations, personnel and production modes.
[0158] In the specific implementation, see Figure 8 , Figure 8 This is a schematic diagram of the automatic scheduling logic of the trial production plan in the multi-level linkage planning control method of the present invention, such as Figure 8 As shown in the figure, based on the released 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, and trial production stations, personnel, production modes, etc. are allocated respectively. At the same time, combined with the process cycle library and the 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 in the first-level trial production process, which are equal to welding, final assembly, and delivery, in the order of earliest, and automatically generate a trial production task ledger.
[0160] It can be understood that according to the process cycle model library, the cycle of each process is matched, and at the same time, the first-level trial production process in the trial production master plan details table is sorted according to the earliest plandate_start sequence of "welding assembly", "general assembly" and "shipping assembly", and the trial production task ledger is automatically generated.
[0161] Step S33: Obtain the workshop calendar working days and working hours, and determine the available working time period according to the workshop calendar working days and the working hours.
[0162] It should be understood that the workshop calendar working days and working hours are obtained, and the workable time period can be determined based on the workshop calendar working days and the working hours.
[0163] Step S34, calculating the planned start time and the planned completion time of each line according to the available working time and the production rhythm sequence of the line.
[0164] It can be understood that the planned start time and planned completion time of each line can be calculated based on the working time and the line production rhythm sequence.
[0165] Step S35: After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for corresponding welding, final assembly and delivery is generated according to the adjusted planned start time, planned completion time and trial production task ledger.
[0166] It should be understood that after the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for corresponding welding, final assembly and delivery can be generated based on the adjusted planned start time, planned completion time and the trial production task ledger.
[0167] In the specific implementation, the workable time period is obtained according to the workshop calendar working days and working hours, and the planned start time and planned completion time of each line are calculated according to the working day start time + line production rhythm (unit: hour) sequence (line sequence), and the first version of the trial production plan is produced; the line plan time is confirmed and adjusted to generate the final version of the trial production plan; the generated trial production plan is generated and executed, and the execution results are synchronized to the trial production master plan, so that the trial production plan supervisor can timely grasp the trial production progress and risks.
[0168] Through the above scheme, this embodiment calls the corresponding preset algorithm through the grid plan, matches the process cycle library according to the preset algorithm, obtains the first-level trial production process in the detailed table of the trial production master plan; sorts the processes equal to welding, assembly, and delivery in the first-level trial production process in the earliest order, and automatically generates a trial production task ledger; obtains the workshop calendar working days and working hours, and determines the workable 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 workable time and the line production rhythm sequence; after the adjustment is confirmed between the planned start time and the planned completion time, the adjustment is made according to the adjustment The planned start time, the planned completion time and the trial production task ledger are used to generate the initial plan for welding, final assembly and delivery. This ensures the consistency and linkage of data 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 and control. Through the pre- and actual comparative analysis of the plan, risk warnings can be sent in a timely and proactive manner, which can effectively reduce the delivery risk of trial production prototypes. Based on the big data model analysis of the actual execution situation, a reasonable cycle can be calculated more accurately, and updated and improved to the model cycle library, which improves the accuracy of trial production plan scheduling and the efficiency of multi-level linkage plan management and control.
[0169] Correspondingly, the present invention further provides a multi-level linkage planning control device.
[0170] Reference Fig. 9 , Fig. 9 It is a functional module diagram of the first embodiment of the multi-level linkage planning control device of the present invention.
[0171] In the first embodiment of the multi-level linkage plan control device of the present invention, the multi-level linkage plan 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 automatically generate a trial production master plan for vehicle production based on the model database.
[0173] The grid plan generating module 20 is used to initiate a vehicle trial production application according to the trial production master plan, and to generate a grid plan according to the vehicle trial production application.
[0174] The production plan generation module 30 is used to call the corresponding preset algorithm according to 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 preliminary plan for welding, final assembly and delivery.
[0175] The master plan generation module 10 is also used to obtain the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the whole vehicle trial production plan; build a model database for automatic scheduling of the whole vehicle trial production plan based on the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library; obtain the test plan information and the annual plan from the model database, match the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generate a preliminary trial production master plan; confirm and fine-tune the line-specific plan time of the preliminary trial production master plan to generate a final version of the trial production master plan.
[0176] The master plan generation module 10 is also used to obtain the specific attributes, procurement channels and procurement methods of the part type corresponding to the vehicle trial production plan; combine the specific attributes of the part type, the procurement channels and the procurement methods with the historical cycle experience library to obtain the business cycles corresponding to parts of different types and different procurement methods, and generate a parts business cycle library based on the business cycles; obtain the project classification, trial production stage, trial production category and whether it is the first batch of information corresponding to the vehicle trial production plan; combine the project classification, the trial production stage, the trial production category and the information of whether it is the first batch with the historical cycle experience library to obtain the production cycle of the vehicle trial production process, and generate a professional group trial production cycle library 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, and maintain the production cycles of different lines under the welding, final assembly and delivery routes according to the different assembly routes according to the vehicle trial production cycle experience library, and generate a process cycle library based on the production cycles of the different lines.
[0177] The master plan generation module 10 is also used to obtain the annual plan from the model database, and obtain the target annual plan with the release status and the total number of remaining prototypes / prototypes greater than 0 according to the projects and trial production stages in the annual plan; receive the test plan through the upstream test data management system interface, traverse the test plan details corresponding to the test plan transmitted by the upstream test data management system, and match the test plan data of the same project, the same stage, the same prototype number and no master plan created; obtain the delivery time plan and trial production batch information of the prototype vehicle, and determine the batch delivery plan; associate the delivery time plan and the trial production batch information according to the target annual plan, match the prototype vehicle number according to the test plan data, and generate a batch delivery plan for each prototype vehicle; reverse the start time of the prototype vehicle task, call the preset algorithm device in combination with the professional group trial production cycle library, and generate the initial trial production master plan for each prototype vehicle in real time.
[0178] The grid plan generation module 20 is also used to initiate a 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 parts business cycle library corresponding to the vehicle trial production plan, and generate a grid plan for each part.
[0179] The grid plan generation module 20 is also used to obtain the parts information in the trial production BOM data, obtain the parts list and the parts procurement method from the parts information; match the parts list and the parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain the initial grid plan corresponding to the seasonal plan time; calculate the current link of the parts and the actual completion time of each business purchase according to the business progress information; call the warehouse module interface to obtain the parts arrival status of each part, and generate a grid plan for each part according to the initial grid plan, the actual completion time and the arrival status.
[0180] The production plan generation module 30 is also used to call the corresponding preset algorithm according to the trial production application form published in the grid plan, 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; sort the processes equal to welding, final assembly, and shipment in the first-level trial production process in the earliest order, and automatically generate a trial production task ledger; obtain the workshop calendar working days and working hours, and determine the workable time period according to the workshop calendar working days and the working hours; calculate the planned start time and planned completion time of each line according to the workable time and the production rhythm sequence of the line; after the planned start time and the planned completion time are confirmed and adjusted, generate the corresponding welding, final assembly and shipment preliminary plan according to the adjusted planned start time, the planned completion time and the trial production task ledger.
[0181] Among them, the steps implemented by each functional module of the multi-level linkage plan control device can refer to the various embodiments of the multi-level linkage plan control method of the present invention, and will not be repeated here.
[0182] In addition, an embodiment of the present invention further provides a storage medium, on which a multi-level linkage plan control program is stored. When the multi-level linkage plan control program is executed by a processor, the following operations are implemented:
[0183] Establishing a model database for automatic scheduling of vehicle trial production plans, and automatically generating a trial production master plan for vehicle production based on the model database;
[0184] Initiate a vehicle trial production application according to the trial production master plan, and generate a grid plan according to the vehicle trial production application;
[0185] The corresponding preset algorithm is called according to the trial production application form published in the grid plan, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding preliminary plan for welding, final assembly and delivery.
[0186] Furthermore, when the multi-level linkage plan control program is executed by the processor, the following operations are also implemented:
[0187] Obtain the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the vehicle trial production plan;
[0188] Constructing a model database for automatic scheduling of vehicle trial production plan according to the parts business cycle library, the professional group trial production cycle library, the workshop calendar and the process cycle library;
[0189] Acquire test plan information and annual plan from the model database, match the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generate a preliminary trial production master plan;
[0190] Confirm and fine-tune the line-specific planning time of the initial version of the trial production master plan 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, the following operations are also implemented:
[0192] Obtain the specific attributes, procurement channels and procurement methods of the parts types corresponding to the vehicle trial production plan;
[0193] Combine the specific attributes of the part type, the procurement path and the procurement method with the historical cycle experience database to obtain the business cycles corresponding to parts of different types and different procurement methods, and generate a parts business cycle library based on the business cycles;
[0194] Obtain the project classification, trial production stage, trial production category and whether it is the first batch of information corresponding to the vehicle trial production plan;
[0195] The project classification, the trial production stage, the trial production category and whether it is the first batch of information are combined with the historical cycle experience database to obtain the production cycle of the whole vehicle trial production process, and generate a professional group trial production cycle library according to the production cycle;
[0196] Obtaining a workshop plan, an actual work plan, and a holiday schedule corresponding to the vehicle trial production plan, and generating a workshop calendar according to the workshop plan, the actual work plan, and the holiday schedule;
[0197] Obtain a complete vehicle trial production cycle experience database corresponding to the complete vehicle trial production plan, and maintain production cycles of different lines under welding, final assembly, and shipping routes according to different assembly routes based on the complete vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.
[0198] Furthermore, when the multi-level linkage plan control program is executed by the processor, the following operations are also implemented:
[0199] Obtain an annual plan from the model database, and obtain a target annual plan with a release status and a total number of remaining prototypes greater than 0 according to the projects and trial production stages in the annual plan;
[0200] The upstream test data management system interface receives the test plan, traverses the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data of the same project, the same stage, the same vehicle number and no master plan is created;
[0201] Obtain the delivery schedule and trial production batch information of the prototype vehicle, and determine the batch delivery schedule accordingly;
[0202] Associating the delivery time plan with the trial production batch information according to the target annual plan, matching the sample vehicle number according to the test plan data, and generating a batch delivery plan for each sample vehicle;
[0203] According to the reverse order of the start time of the prototype vehicle task, the preset algorithm device is called in combination with the professional group trial production cycle library to generate the initial version of the 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, the following operations are also implemented:
[0205] Initiate a 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;
[0206] The preset algorithm device is called to match the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan to generate a grid plan for each part.
[0207] Furthermore, when the multi-level linkage plan control program is executed by the processor, the following operations are also implemented:
[0208] Obtaining part information in the trial production BOM data, and obtaining a parts list and a parts procurement method from the part information;
[0209] Matching the parts list and the parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain a preliminary grid plan corresponding to the seasonal change plan time;
[0210] Calculate the current stage of the parts and the actual completion time of each business purchase according to the business progress information;
[0211] The warehouse module interface is called to obtain the arrival status of each part, and a grid plan for each component is generated according to the initial grid plan, the actual completion time and the arrival status.
[0212] Furthermore, when the multi-level linkage plan control program is executed by the processor, the following operations are also implemented:
[0213] Calling a corresponding preset algorithm according to the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and obtaining the first-level trial production process in the detailed table of the trial production master plan;
[0214] 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;
[0215] Obtaining the workshop calendar working days and working hours, and determining the available working time period according to the workshop calendar working days and the working hours;
[0216] Calculate the planned start time and the planned completion time of each line according to the available working time and the production rhythm sequence of the line;
[0217] After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for corresponding welding, final assembly and delivery is generated according to the adjusted planned start time, planned completion time and trial production task ledger.
[0218] Those skilled in the art will appreciate that all or part of the steps in the above-mentioned implementation method can be accomplished by instructing related hardware through a program, and the program is stored in a storage medium, including a number of instructions for enabling a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each implementation method of the present application; and the aforementioned storage medium is a computer-readable storage medium, including: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes.
[0219] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.
[0220] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.
[0221] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A multi-level linkage planning control method, characterized in that: The multi-level linkage plan control method includes: Establishing a model database for automatic scheduling of vehicle trial production plans, and automatically generating a trial production master plan for vehicle production based on the model database; Initiate a vehicle trial production application according to the trial production master plan, and generate a grid plan according to the vehicle trial production application; The corresponding preset algorithm is called according to the trial production application form published in the grid plan, and the process cycle library is matched according to the preset algorithm to automatically generate the corresponding preliminary plan for welding, final assembly and delivery.
2. The multi-level linkage planning control method according to claim 1, characterized in that: The method of establishing a model database for automatically scheduling the trial production plan of a complete vehicle and automatically generating a trial production master plan for the complete vehicle production according to the model database includes: Obtain the parts business cycle library, professional group trial production cycle library, workshop calendar and process cycle library corresponding to the vehicle trial production plan; Constructing a model database for automatic scheduling of vehicle trial production plan according to the parts 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 according to the test plan information and the annual plan, and automatically generate a preliminary trial production master plan; Confirm and fine-tune the line-specific planning time of the initial version of the trial production master plan to generate the final version of the trial production master plan.
3. The multi-level linkage planning control method according to claim 2, characterized in that: The obtaining of the parts 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 attributes, procurement channels and procurement methods of the parts types corresponding to the vehicle trial production plan; Combine the specific attributes of the part type, the procurement path and the procurement method with the historical cycle experience database to obtain the business cycles corresponding to parts of different types and different procurement methods, and generate a parts business cycle library based on the business cycles; Obtain the project classification, trial production stage, trial production category and whether it is the first batch of information corresponding to the vehicle trial production plan; The project classification, the trial production stage, the trial production category and whether it is the first batch of information are combined with the historical cycle experience database to obtain the production cycle of the whole vehicle trial production process, and generate a professional group trial production cycle library according to the production cycle; Obtaining a workshop plan, an actual work plan, and a holiday schedule corresponding to the vehicle trial production plan, and generating a workshop calendar according to the workshop plan, the actual work plan, and the holiday schedule; Obtain a complete vehicle trial production cycle experience database corresponding to the complete vehicle trial production plan, and maintain production cycles of different lines under welding, final assembly, and shipping routes according to different assembly routes based on the complete vehicle trial production cycle experience database, and generate a process cycle database based on the production cycles of different lines.
4. The multi-level linkage planning control method according to claim 2, characterized in that: The step of acquiring the test plan information and the annual plan from the model database, matching the professional group trial production cycle library according to the test plan information and the annual plan, and automatically generating a preliminary trial production master plan includes: Obtain an annual plan from the model database, and obtain a target annual plan with a release status and a total number of remaining prototypes greater than 0 according to the projects and trial production stages in the annual plan; The upstream test data management system interface receives the test plan, traverses the test plan details corresponding to the test plan transmitted by the upstream test data management system, and matches the test plan data of the same project, the same stage, the same vehicle number and no master plan is created; Obtain the delivery schedule and trial production batch information of the prototype vehicle, and determine the batch delivery schedule accordingly; Associating the delivery time plan with the trial production batch information according to the target annual plan, matching the sample vehicle number according to the test plan data, and generating a batch delivery plan for each sample vehicle; According to the reverse order of the start time of the prototype vehicle task, the preset algorithm device is called in combination with the professional group trial production cycle library to generate the initial version of the trial production master plan for each prototype vehicle in real time.
5. The multi-level linkage planning control method according to claim 1, characterized in that: The initiating a vehicle trial production application according to the trial production master plan, and generating a grid plan according to the vehicle trial production application, comprises: Initiate a 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; The preset algorithm device is called to match the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan to generate a grid plan for each part.
6. The multi-level linkage plan control method according to claim 5, characterized in that: The calling of the preset algorithm device matches the trial production BOM data and the business progress information with the parts business cycle library corresponding to the vehicle trial production plan to generate a grid plan for each part, including: Obtaining part information in the trial production BOM data, and obtaining a parts list and a parts procurement method from the part information; Matching the parts list and the parts procurement method with the parts business cycle library corresponding to the vehicle trial production plan to obtain a preliminary grid plan corresponding to the seasonal change plan time; Calculate the current stage of the parts and the actual completion time of each business purchase according to the business progress information; The warehouse module interface is called to obtain the arrival status of each part, and a grid plan for each component is generated according to the initial grid plan, the actual completion time and the arrival status.
7. The multi-level linkage plan control method according to claim 1, characterized in that: The method of calling the corresponding preset algorithm according to 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 preliminary plan for welding, final assembly and delivery includes: Calling a corresponding preset algorithm according to the trial production application form published in the grid plan, matching the process cycle library according to the preset algorithm, and obtaining 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; Obtaining the workshop calendar working days and working hours, and determining the available working time period according to the workshop calendar working days and the working hours; Calculate the planned start time and the planned completion time of each line according to the available working time and the production rhythm sequence of the line; After the planned start time and the planned completion time are confirmed and adjusted, a preliminary plan for corresponding welding, final assembly and delivery is generated according to the adjusted planned start time, planned completion time and trial production task ledger.
8. A multi-level linkage planning control device, characterized in that: The multi-level linkage plan control device comprises: A master plan generation module is used to establish a model database for automatic scheduling of vehicle trial production plans, and automatically generate a trial production master plan for vehicle production based on the model database; A grid plan generating module, used for initiating a vehicle trial production application according to the trial production master plan, and generating a grid plan according to the vehicle trial production application; The production plan generation module is used to call the corresponding preset algorithm according to 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 preliminary plan for welding, final assembly and delivery.
9. A multi-level linkage planning control device, characterized in that: The multi-level linkage plan control device includes: a memory, a processor, and a multi-level linkage plan control program stored in the memory and executable on the processor, wherein the multi-level linkage plan control program is configured to implement the steps of the multi-level linkage plan control method as described in any one of claims 1 to 7.
10. A storage medium, characterized in that: A multi-level linkage plan control program is stored on the storage medium, and when the multi-level linkage plan control program is executed by the processor, the steps of the multi-level linkage plan control method according to any one of claims 1 to 7 are implemented.
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