Trial-production certified vehicle production plan tracking method, system, equipment and medium
By acquiring basic vehicle information and delivery schedule nodes, calculating the planned completion date using preset process node derivation rules, and comparing it with the actual completion date, early warning information is generated. This solves the problems of information lag and low efficiency caused by offline manual management, and enables real-time tracking and on-time delivery of trial-produced and certified vehicles.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-16
- Publication Date
- 2026-03-27
AI Technical Summary
In existing technologies, the tracking and risk management of prototype vehicle production plans rely on offline manual statistics, which leads to information lag, low efficiency, and the inability to achieve real-time tracking and early warning, thus affecting production progress and delivery timeliness.
A method and system for tracking the production plan of trial-produced and certified vehicles are provided. By acquiring basic vehicle information and delivery plan nodes, the system calculates the planned completion date using preset process node derivation rules, compares the actual completion date with the actual completion date in real time, generates early warning information, and realizes real-time monitoring of production progress and risk alarm.
It enables real-time monitoring of production progress and immediate risk alerts, significantly improving management efficiency and response speed, and ensuring the timely delivery of certified prototype vehicles.
Smart Images
Figure CN121745649A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of vehicle manufacturing information management, in particular to a trial production certified vehicle production plan tracking method, system, device and medium. BACKGROUND
[0002] With the intensification of international market competition, the shortening of company's new project and new product development cycle, trial production puts forward higher requirements for the timeliness and qualification rate of certified sample vehicle production.
[0003] In related technologies, the tracking and risk problems of current trial production certified sample vehicle production plan are in offline manual statistics and release form, and there are problems of transmission lag and timeliness in information accuracy, which is time-consuming and laborious and cannot meet the real-time tracking management of production progress, leading to delayed delivery site and affecting project development progress, which needs to be solved urgently. SUMMARY
[0004] The present application provides a trial production certified vehicle production plan tracking method, system, device and medium to solve the problems of information lag, low efficiency and inability to track and early warning in real time caused by relying on offline manual management, realize real-time monitoring of production progress and immediate risk alarm, significantly improve management efficiency and response speed, and effectively guarantee the on-time delivery of certified sample vehicles.
[0005] The first aspect embodiment of the present application provides a trial production certified vehicle production plan tracking method, comprising the following steps: Obtain the basic information of the trial production certified vehicle, and receive the delivery plan node of the vehicle; Based on the basic information of the trial production certified vehicle and the delivery plan node, calculate the planned completion date of a plurality of processes according to a preset process node derivation rule; In the production process, receive the actual completion date of the plurality of processes, compare the actual completion date of the plurality of processes with the corresponding planned completion date, if the actual completion date of any process is later than the corresponding planned completion date, generate an early warning information, and send the early warning information to a preset terminal; The basic information of the trial production certified vehicle includes at least one of the following: body-in-white number, vehicle number, VIN number, powertrain model, vehicle configuration and test purpose.
[0006] According to one embodiment of the present application, after comparing the actual completion date of the plurality of processes with the corresponding planned completion date, the following steps are further included: Obtain the number of vehicles completed on time this month, and calculate the monthly production plan on-time completion rate based on the total number of planned vehicles produced this month.
[0007] According to one embodiment of this application, the on-time completion rate of the monthly production plan is the ratio between the number of vehicles delivered on time in the current month and the total number of vehicles planned to be produced in the current month.
[0008] According to one embodiment of this application, the plurality of processes include at least one of one-vehicle-one-order freezing, MRD freezing, purchase requisition, sample arrival, welding, final assembly, and inspection.
[0009] According to the production plan tracking method for prototype certification vehicles provided in this application, based on the basic information and delivery plan nodes of the prototype certification vehicle, the planned completion dates of multiple processes are calculated according to preset process node derivation rules. During the production process, the actual completion dates of multiple processes are received, and the actual completion dates of multiple processes are compared with their corresponding planned completion dates. If the actual completion date of any process is later than its corresponding planned completion date, an early warning message is generated and sent to a preset terminal. This solves the problems of information lag, low efficiency, and inability to track and warn in real time caused by reliance on offline manual management in related technologies. It achieves real-time monitoring of production progress and immediate risk alerts, significantly improving management efficiency and response speed, and effectively ensuring the timely delivery of certification prototype vehicles.
[0010] A second aspect of this application provides a production plan tracking system for trial production and certification vehicles, comprising: The acquisition module is used to acquire basic information about the prototype certification vehicle and receive the vehicle's delivery schedule nodes. The calculation module is used to calculate the planned completion dates of multiple processes based on the vehicle's basic information and the delivery plan nodes, according to preset process node derivation rules; The tracking module is used to receive the actual completion dates of the multiple processes during the production process, compare the actual completion dates of the multiple processes with the corresponding planned completion dates, and generate an early warning message if the actual completion date of any process is later than the corresponding planned completion date, and send the early warning message to a preset terminal. The basic information of the prototype certified vehicle includes at least one of the following: body-in-white number, vehicle number, VIN number, powertrain model, vehicle configuration, and test purpose.
[0011] According to one embodiment of this application, after comparing the actual completion dates of the plurality of processes with their corresponding planned completion dates, the tracking module is further configured to: Obtain the number of vehicles delivered on time in the current month, and calculate the monthly production plan on-time completion rate based on the total number of vehicles planned to be produced in the current month.
[0012] According to one embodiment of this application, the on-time completion rate of the monthly production plan is the ratio between the number of vehicles delivered on time in the current month and the total number of vehicles planned to be produced in the current month.
[0013] According to one embodiment of this application, the plurality of processes include at least one of one-vehicle-one-order freezing, MRD freezing, purchase requisition, sample arrival, welding, final assembly, and inspection.
[0014] The trial production certification vehicle production plan tracking system provided in this application, based on the basic information and delivery plan nodes of the trial production certification vehicle, calculates the planned completion dates of multiple processes according to preset process node derivation rules. During the production process, the system receives the actual completion dates of multiple processes and compares them with the corresponding planned completion dates. If the actual completion date of any process is later than the corresponding planned completion date, an early warning message is generated and sent to a preset terminal. This solves the problems of information lag, low efficiency, and inability to track and warn in real time caused by reliance on offline manual management in related technologies. It achieves real-time monitoring of production progress and immediate risk alerts, significantly improving management efficiency and response speed, and effectively ensuring the timely delivery of certification prototype vehicles.
[0015] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the trial production certification vehicle production plan tracking method as described in the above embodiments.
[0016] A fourth aspect of this application provides a computer-readable storage medium storing computer instructions for causing the computer to execute the trial production certification vehicle production plan tracking method as described in the above embodiments.
[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for tracking the production plan of a trial-produced certified vehicle according to an embodiment of this application; Figure 2 This is a block diagram of a trial production certification vehicle production plan tracking system according to an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0019] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.
[0020] The following description, with reference to the accompanying drawings, outlines a method, system, equipment, and medium for tracking the production plan of prototype certification vehicles according to embodiments of this application. Addressing the issues of information lag, low efficiency, and inability to track and provide real-time warnings mentioned in the background section, this application provides a simple, low-cost, and rapid method for improving the online accuracy and real-time transmission of prototype vehicle production status. The production progress query function enables the acquisition of vehicle information and production plans during the planning and scheduling phase for specific prototype vehicles, allowing for real-time understanding of vehicle production information. Alarm commands can be directly created for vehicles experiencing production stoppages or delivery delays, rapidly accelerating production progress.
[0021] Specifically, Figure 1 This is a flowchart illustrating a method for tracking the production plan of a trial-produced certified vehicle, as provided in an embodiment of this application.
[0022] like Figure 1 As shown, the method for tracking the production plan of the trial-produced certified vehicle includes the following steps: In step S101, the basic information of the trial-produced and certified vehicle is obtained, and the vehicle's delivery schedule node is received.
[0023] The basic information of the prototype certified vehicle may include at least one of the following: prototype vehicle body-in-white number, vehicle number, VIN number, powertrain model, vehicle configuration, applicable regulations, and test purpose.
[0024] Specifically, in this embodiment, the basic information of the prototype certification vehicle can be obtained through the manufacturing execution system, and the basic information can be imported into the system. The system also receives vehicle delivery schedule nodes specified by the user. These delivery schedule nodes are the final delivery deadlines determined based on requirements such as the product development and validation plan (DVP), serving as the benchmark anchor point for the entire production schedule. The certification prototype vehicle delivery schedule nodes are maintained in the system according to DVP requirements.
[0025] In step S102, based on the basic information and delivery schedule nodes of the trial-produced and certified vehicle, the planned completion dates of multiple processes are calculated according to the preset process node derivation rules.
[0026] In some embodiments, multiple processes include at least one of one vehicle, one order freezing, MRD freezing, purchase requisition, sample arrival, welding, final assembly, and inspection.
[0027] Specifically, the system automatically derives the planned completion dates of each preceding process based on the delivery schedule nodes, according to the rules in Table 1 (the system supports manual maintenance and modification): Table 1
[0028] Among them, the number of days for the system to advance in the previous process node is maintained manually in the system background, and the specific number can be set according to the trial production process and the production line cycle capacity.
[0029] In step S103, during the production process, the actual completion dates of multiple processes are received, and the actual completion dates of multiple processes are compared with the corresponding planned completion dates. If the actual completion date of any process is later than the corresponding planned completion date, an early warning message is generated and sent to a preset terminal.
[0030] Specifically, the system collects the completion dates of each process for the corresponding vehicle number in real time during the production process, and statistically analyzes the production data in stages based on the uploaded actual completion dates, enabling the query of production progress completion rate.
[0031] Furthermore, in some embodiments, after comparing the actual completion dates of multiple processes with the corresponding planned completion dates, the method further includes: obtaining the number of vehicles delivered on time in the current month, and calculating the monthly production plan on-time completion rate based on the total number of vehicles planned to be produced in the current month.
[0032] Furthermore, in some embodiments, the monthly production plan on-time completion rate is the ratio between the number of vehicles delivered on time in the current month and the total number of vehicles planned to be produced in the current month.
[0033] Specifically, this application embodiment changes the form of manually collected statistics to a system-calculated monthly production plan on-time completion rate, wherein the monthly production plan on-time completion rate = number of vehicles completed on time in the current month / number of vehicles planned to be produced in the current month, which facilitates the management of indicators and the review of delayed delivery issues.
[0034] To help those skilled in the art to more intuitively understand the trial production certification vehicle production plan tracking method of this application, a detailed explanation is provided below with examples.
[0035] In the management system, an internationally certified prototype plan for the entire development process of a new vehicle model is created, and basic vehicle information is imported as required. During trial production, vehicle delivery milestones are maintained according to the trial production plan. The system automatically derives planned milestones such as "one vehicle, one order freeze," "MRD freeze," "purchase request," "sample arrival," "welding," "final assembly," and "inspection." The system implements production progress management for each vehicle, collecting vehicle production progress information according to each vehicle's milestone plan. If information is exceeded or missing, an information prompt is automatically generated and sent to the project's trial production lead, requesting feedback on the issues causing delays and corresponding countermeasures. Simultaneously, the background color of the vehicle at that milestone changes and an alarm is triggered. If a vehicle is delivered before a milestone, the system includes it in the planned on-time delivery quantity, ultimately calculating the monthly production plan completion rate for that vehicle model. Indicators and production status can be queried.
[0036] The method for tracking the production plan of trial-produced and certified vehicles proposed in this application involves calculating the planned completion dates of multiple processes based on the basic information and delivery schedule nodes of the trial-produced and certified vehicles, according to preset process node derivation rules. During production, the actual completion dates of multiple processes are received and compared with their corresponding planned completion dates. If the actual completion date of any process is later than its corresponding planned completion date, an early warning message is generated and sent to a preset terminal. This solves the problems of information lag, low efficiency, and inability to track and warn in real time caused by the reliance on offline manual management in related technologies. It provides insight into the vehicle plan and actual production progress, supports real-time updates and queries of vehicle production status, improves management efficiency, tracks production information, establishes a notification, early warning, and alarm system and mechanism, and promptly releases information on vehicle production delays and problems to the outside world, assisting in the completion of production task management.
[0037] Next, referring to the accompanying drawings, a trial production certification vehicle production plan tracking system proposed according to an embodiment of this application is described.
[0038] Figure 2 This is a block diagram of a trial production certification vehicle production plan tracking system according to an embodiment of this application.
[0039] like Figure 2 As shown, the trial production certification vehicle production plan tracking system 10 includes: an acquisition module 100, a calculation module 200, and a tracking module 300.
[0040] The system includes: an acquisition module 100 for acquiring basic information about the prototype certification vehicle and receiving the vehicle's delivery schedule nodes; a calculation module 200 for calculating the planned completion dates of multiple processes based on the vehicle's basic information and delivery schedule nodes, according to preset process node derivation rules; and a tracking module 300 for receiving the actual completion dates of multiple processes during production, comparing the actual completion dates of multiple processes with their corresponding planned completion dates, and generating an early warning message if the actual completion date of any process is later than its corresponding planned completion date, and sending the warning message to a preset terminal. The basic information about the prototype certification vehicle includes at least one of the following: body-in-white number, vehicle number, VIN number, powertrain model, vehicle configuration, and testing purpose.
[0041] Furthermore, in some embodiments, after comparing the actual completion dates of multiple processes with the corresponding planned completion dates, the tracking module is also used to: obtain the number of vehicles delivered on time in the current month, and calculate the monthly production plan on-time completion rate based on the total number of vehicles planned to be produced in the current month.
[0042] Furthermore, in some embodiments, the monthly production plan on-time completion rate is the ratio between the number of vehicles delivered on time in the current month and the total number of vehicles planned to be produced in the current month.
[0043] Furthermore, in some embodiments, the multiple processes include at least one of one-vehicle-one-order freezing, MRD freezing, purchase requisition, sample arrival, welding, final assembly, and inspection.
[0044] It should be noted that the foregoing explanation of the method embodiment for tracking the production plan of trial certified vehicles also applies to the trial certified vehicle production plan tracking system of this embodiment, and will not be repeated here.
[0045] The trial production certification vehicle production plan tracking system proposed in this application calculates the planned completion dates of multiple processes based on the basic information and delivery plan nodes of the trial production certification vehicle and according to preset process node derivation rules. During the production process, the system receives the actual completion dates of multiple processes and compares them with their corresponding planned completion dates. If the actual completion date of any process is later than its corresponding planned completion date, an early warning message is generated and sent to a preset terminal. This solves the problems of information lag, low efficiency, and inability to track and warn in real time caused by reliance on offline manual management in related technologies. It achieves real-time monitoring of production progress and immediate risk alerts, significantly improving management efficiency and response speed, and effectively ensuring the timely delivery of certification prototype vehicles.
[0046] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 301, the processor 302, and the computer program stored on the memory 301 and capable of running on the processor 302.
[0047] When processor 302 executes the program, it implements the trial production certification vehicle production plan tracking method provided in the above embodiments.
[0048] Furthermore, electronic devices also include: Communication interface 303 is used for communication between memory 301 and processor 302.
[0049] The memory 301 is used to store computer programs that can run on the processor 302.
[0050] The memory 301 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.
[0051] If the memory 301, processor 302, and communication interface 303 are implemented independently, then the communication interface 303, memory 301, and processor 302 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0052] Optionally, in a specific implementation, if the memory 301, processor 302, and communication interface 303 are integrated on a single chip, then the memory 301, processor 302, and communication interface 303 can communicate with each other through an internal interface.
[0053] Processor 302 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.
[0054] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for tracking the production plan of a prototype certified vehicle.
[0055] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0056] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0057] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0058] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0059] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0060] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
[0061] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0062] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.
Claims
1. A method for tracking the production plan of trial-produced certified vehicles, characterized in that, Includes the following steps: Obtain basic information about the prototype certified vehicles and receive the vehicle delivery schedule milestones; Based on the basic information of the trial-produced and certified vehicle and the delivery schedule nodes, the planned completion dates of multiple processes are calculated according to the preset process node derivation rules. During the production process, the actual completion dates of the multiple processes are received, and the actual completion dates of the multiple processes are compared with the corresponding planned completion dates. If the actual completion date of any process is later than the corresponding planned completion date, an early warning message is generated and sent to a preset terminal. The basic information of the prototype certified vehicle includes at least one of the following: body-in-white number, vehicle number, VIN number, powertrain model, vehicle configuration, and test purpose.
2. The method according to claim 1, characterized in that, After comparing the actual completion dates of the multiple processes with their corresponding planned completion dates, the process also includes: Obtain the number of vehicles delivered on time in the current month, and calculate the monthly production plan on-time completion rate based on the total number of vehicles planned to be produced in the current month.
3. The method according to claim 2, characterized in that, The on-time completion rate of the monthly production plan is the ratio between the number of vehicles delivered on time in the current month and the total number of vehicles planned to be produced in the current month.
4. The method according to claim 1, characterized in that, The multiple processes include at least one of the following: vehicle-to-order freezing, MRD freezing, purchase request, sample arrival, welding, final assembly, and inspection.
5. A production plan tracking system for trial-produced certified vehicles, characterized in that, include: The acquisition module is used to acquire basic information about the prototype certification vehicle and receive the vehicle's delivery schedule nodes. The calculation module is used to calculate the planned completion dates of multiple processes based on the vehicle's basic information and the delivery plan nodes, according to preset process node derivation rules; The tracking module is used to receive the actual completion dates of the multiple processes during the production process, compare the actual completion dates of the multiple processes with the corresponding planned completion dates, and generate an early warning message if the actual completion date of any process is later than the corresponding planned completion date, and send the early warning message to a preset terminal. The basic information of the prototype certified vehicle includes at least one of the following: body-in-white number, vehicle number, VIN number, powertrain model, vehicle configuration, and test purpose.
6. The system according to claim 5, characterized in that, After comparing the actual completion dates of the multiple processes with their corresponding planned completion dates, the tracking module is further configured to: Obtain the number of vehicles delivered on time in the current month, and calculate the monthly production plan on-time completion rate based on the total number of vehicles planned to be produced in the current month.
7. The system according to claim 6, characterized in that, The on-time completion rate of the monthly production plan is the ratio between the number of vehicles delivered on time in the current month and the total number of vehicles planned to be produced in the current month.
8. The system according to claim 5, characterized in that, The multiple processes include at least one of the following: vehicle-to-order freezing, MRD freezing, purchase request, sample arrival, welding, final assembly, and inspection.
9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the trial production certification vehicle production plan tracking method as described in any one of claims 1-4.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is executed by a processor to implement the trial production certification vehicle production plan tracking method as described in any one of claims 1-4.