Intelligent scheduling method for whole vehicle manufacturing

Abstract

The invention discloses an intelligent scheduling method for finished automobile manufacturing, and belongs to the technical field of automobile manufacturing. The method comprises the steps that after a vehicle queue enters a BDC workshop, vehicle queue information is acquired through an MES system, and the vehicle queue information comprises initial queue information and a target workshop; the MES system performs sorting adjustment on the vehicles according to the initial queue information to generate final queue information; the MES system confirms and controls the number of vehicles dispatched from the BDC workshop every time and a target workshop; the MES system updates the vehicle queue information and sends the vehicle queue information to the BDC control system, the BDC control system performs physical sorting on the vehicles and controls the vehicles to leave the BDC workshop according to the vehicle queue information, and the updated vehicle queue information comprises final queue information, the number of vehicles dispatched each time and a target workshop. According to the invention, through optimization of BDC sorting adjustment, the production efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile manufacturing, and in particular, relates to an intelligent scheduling method for whole vehicle manufacturing. Background Art

[0002] In today's automotive manufacturing industry, the Body Distribution Center (BDC) plays a vital role, responsible for managing the receipt, storage, and distribution of body parts. With the continuous changes in market demand and the continuous advancement of production technology, the operating background and technical means of BDC are also constantly evolving to adapt to the increasingly complex production environment and improve overall production efficiency.

[0003] However, the current scheduling methods often fail to effectively meet the scheduling requirements of vehicle production when dealing with the interaction between vehicle in and out of the warehouse. This situation leads to low sequencing and on-time delivery rates for vehicle queues in and out of the warehouse in various production workshops. At the same time, there is a large difference between the actual number of vehicles in and out of the warehouse and the planned number. These problems not only affect the smoothness of the production process, but may also lead to a decrease in production efficiency.

[0004] Therefore, how to improve the sequencing rate and on-time rate of vehicle queues in the process of inbound and outbound delivery has become a technical challenge that needs to be solved urgently. Achieving efficient vehicle body distribution center scheduling can not only optimize resource allocation, but also improve overall production efficiency, thereby better meeting market demand and corporate production goals. Summary of the invention

[0005] The present invention aims to overcome the deficiencies of the prior art and proposes an intelligent scheduling method for vehicle manufacturing to achieve the following objectives: improving production efficiency by optimizing BDC sorting adjustment.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] A vehicle manufacturing intelligent scheduling method, the method comprising:

[0008] Step S1: After the vehicle queue enters the BDC workshop, the vehicle queue information is obtained through the MES system, and the vehicle queue information includes the initial queue information and the target workshop;

[0009] Step S2: The MES system adjusts the order of vehicles according to the initial queue information and generates final queue information;

[0010] Step S3: The MES system confirms and controls the number of vehicles leaving the BDC workshop and the target workshop each time;

[0011] Step S4: The MES system updates the vehicle queue information and sends it to the BDC control system. The BDC control system physically sorts the vehicles and controls the vehicles to leave the BDC workshop accordingly. The updated vehicle queue information includes the final queue information, the number of vehicles leaving each time, and the target workshop.

[0012] Preferably, before the vehicle queue enters the BDC workshop, the MES system will determine whether the corresponding production line is a straight-through production line based on the straight-through configuration of the production line where the vehicle queue is located. If it is a straight-through production line, the corresponding vehicle queue will be directly sent to the next workshop configured for the production process route; otherwise, the corresponding vehicle queue enters the BDC workshop.

[0013] Preferably, data collection points are provided at the beginning and end of the production line of the BDC workshop, and the MES system obtains vehicle information by collecting passing data when the vehicle passes through the data collection points.

[0014] Preferably, the sorting adjustment in step S2 includes a first round of sorting of the initial vehicle queue, and the first round of sorting adopts a preset BDC sorting rule for sorting, that is, by setting and managing the priority of each rule, and selecting each rule to be turned on or off, the vehicle queue is adjusted and sorted.

[0015] Preferably, the preset BDC sorting rules include:

[0016] VIN priority: By using the corresponding VIN number of the vehicle, the preset VIN number vehicles can be prioritized;

[0017] Vehicle material number priority: vehicles with the same vehicle material number are prioritized according to the vehicle material number corresponding to the vehicle;

[0018] Model ratio: By allocating the ratio of vehicles of different models, the production ranking ratio of each model is allocated;

[0019] Drive type ratio: the production ranking ratio of two-wheel drive and four-wheel drive vehicles is allocated according to the vehicle's drive mode;

[0020] Color matching: configure the number of vehicles of the same color in the sequence;

[0021] Vehicle storage: Temporarily remove certain vehicles from the production queue based on their VIN number.

[0022] Preferably, the sorting adjustment in step S2 also includes a second round of sorting for the vehicle queue after the first round of sorting: the second round of sorting selects the next workshop on the production process route and performs sorting adjustment for the vehicle queue according to the daily plan management of the corresponding workshop; the daily plan management filters out vehicles that have been sorted but have not yet left the BDC workshop, and performs sorting adjustment for the remaining unsorted vehicle queues according to the production quantity on a specific date.

[0023] Preferably, the sorting adjustment in step S2 also includes a third round of sorting for the vehicle queue after the second round of sorting, that is, selecting multiple vehicle material numbers on the production line and defining them as a category, and then configuring the number of intermediate intervals between vehicles under the category during the vehicle sorting process.

[0024] Preferably, in step S4, the MES system updates the vehicle queue information and sends it to the BDC control system. After the BDC control system successfully receives the data and gives feedback, the last queue entering the BDC workshop is recorded as the first queue, and the current queue is recorded as the second queue. The MES system will mark the vehicles in the first queue as sorted. Then, after the BDC control system receives the updated vehicle queue information of the second queue, the BDC control system physically sorts the vehicles in the BDC workshop and controls the vehicles to leave the BDC workshop according to the stored updated vehicle queue information of the first queue.

[0025] Preferably, in step S4, the MES system also sends the updated vehicle queue information to other production line management systems, which include LES, SPS, and SRM.

[0026] Preferably, the MES system adopts a scheduling algorithm and a sorting algorithm to adjust the sorting of the vehicle queue, the scheduling algorithm includes shortest job first, priority scheduling, and time slice rotation, and the sorting algorithm includes a Partition quick sorting algorithm.

[0027] The technical effect of the present invention is that the present invention can flexibly respond to changing production needs. Compared with the traditional static production scheduling method, the present invention significantly improves production efficiency and shortens the waiting time for vehicles to enter the production line through real-time data transmission and intelligent sorting algorithms. At the same time, under the combination of daily plan management and material ratio management, the scheduling and sorting of vehicles are accurate, ensuring the smooth operation of the production line and optimizing the reasonable allocation of resources. While improving the utilization rate of the production line, the present invention enhances the ability of enterprises to adapt to market changes and improves overall production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flow chart of the production process route configuration of an embodiment of the present invention;

[0029] Figure 2 The present invention is a flowchart of an intelligent scheduling method for vehicle manufacturing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following is a further detailed description of the specific implementation of the present invention through the description of the embodiments with reference to the accompanying drawings, the purpose of which is to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention, and to facilitate its implementation. It should be noted that the words "first", "second" and the like described in this application are only for the convenience of describing the technical solution to distinguish different components, and are not used to limit this application. In order to make the technical solution of the present invention clearer, the present invention is explained through the following embodiments.

[0031] The production process route configuration of this embodiment is as follows Figure 1 As shown, the vehicle queue (assuming that the queue is represented by numbers 12345) leaving the paint shop is reordered and adjusted by the BDC workshop and then sent to the final assembly workshop. During this period, the BDC workshop is responsible for the logical processing of the vehicle queue order adjustment planning. The MES system, or production execution system, is a set of production information management systems for the execution layer of the workshop of manufacturing enterprises in the existing technology. It can exchange information with various production workshops and is widely used in the field of automobile manufacturing.

[0032] In this embodiment, data collection points are set in each workshop, such as 10 o'clock and 20 o'clock in the paint shop, BDC entry and BDC exit in the BDC workshop, and 10 o'clock and 20 o'clock in the final assembly workshop. In this way, when the vehicle queue passes through the data collection point, the MES system can obtain the vehicle queue information through point scanning, especially when the vehicle enters and exits the BDC workshop, it can ensure that the vehicles enter and exit the BDC workshop in sequence and orderly, and maintain the smoothness and continuity of the production line.

[0033] like Figure 2The figure shows an intelligent scheduling method for vehicle manufacturing provided by this embodiment. Among them, considering that there are through production lines in the actual production process, that is, the corresponding vehicle process route does not need to be allocated through the BDC workshop and is directly sent to the next workshop, this type of through production line will be pre-configured with data on its products for marking, and the MES system can identify it through point scanning. In this embodiment, before the vehicle queue (12345) enters the BDC workshop, that is, after the vehicle queue (12345) passes through the paint shop 20 points, the MES system obtains the through configuration of the production line where the vehicle queue (12345) is located through point scanning, and determines whether the corresponding production line is a through production line. If it is a through production line, the corresponding vehicle queue (12345) is directly sent to the next workshop (in this embodiment, the assembly workshop) configured with the production process route; otherwise, the corresponding vehicle queue still enters the BDC workshop normally. In this way, vehicles on the through production line can be prevented from entering the BDC workshop, thereby reducing the load of the BDC workshop, reducing unnecessary transportation and operation and maintenance costs, and improving overall production efficiency.

[0034] Furthermore, a vehicle manufacturing intelligent scheduling method of this embodiment includes:

[0035] Step S1: After the vehicle queue enters the BDC workshop, the vehicle queue information is obtained through the MES system, and the vehicle queue information includes the initial queue information and the target workshop;

[0036] Step S2: The MES system adjusts the order of vehicles according to the initial queue information and generates final queue information;

[0037] Step S3: The MES system confirms and controls the number of vehicles leaving the BDC workshop and the target workshop each time;

[0038] Step S4: The MES system updates the vehicle queue information and sends it to the BDC control system. The BDC control system physically sorts the vehicles and controls the vehicles to leave the BDC workshop accordingly. The updated vehicle queue information includes the final queue information, the number of vehicles leaving each time, and the target workshop.

[0039] Specifically, in step S1 of this embodiment, after the vehicle queue (12345) passes through the data collection point BDC in sequence, the MES system obtains the corresponding vehicle queue information through point scanning. The vehicle queue information at this time mainly includes the initial queue information (the vehicle queue when entering the BDC workshop, which is set to 12345 in this embodiment) and the target workshop (i.e., the next workshop configured on the production process route, which corresponds to the final assembly workshop in this embodiment). At the same time, the MES system can also accurately match the vehicle queue information to the corresponding vehicle data to ensure real-time update and high consistency of information.

[0040] In step S2 of this embodiment, the sorting adjustment of the MES system includes a first round of sorting of the initial vehicle queue (12345), which is sorted using the preset BDC sorting rules, that is, by setting and managing the priority of each rule, and selecting each rule to be turned on or off, the vehicle queue is adjusted and sorted to maximize the utilization efficiency of the production line. The BDC sorting rules allow the priority of each rule to be set to ensure that vehicles that are urgently needed for production can be processed first, thereby optimizing the overall production order. In this embodiment, the preset BDC sorting rules include:

[0041] VIN priority: Through the VIN number corresponding to the vehicle, the preset VIN number vehicles can be prioritized. This mechanism can ensure that the needs of key customers are responded to in a timely manner and effectively improve customer satisfaction.

[0042] Priority for vehicle material number: Vehicles with the same vehicle material number are given priority according to the vehicle material number corresponding to the vehicle, thus ensuring the continuity and stability of production.

[0043] Vehicle model ratio: By allocating the ratio of vehicles of different models and allocating the production ranking ratio of each model, we can meet the diverse needs of the market.

[0044] Drive type ratio: According to the driving mode of the vehicle, the production ranking ratio of two-wheel drive and four-wheel drive vehicles is allocated to ensure that vehicles with different drive types can be produced in a timely manner.

[0045] Color matching: Configure the number of vehicles with the same color in a sequence to optimize the production process in the paint shop and ensure visual and quality consistency.

[0046] Vehicle temporary storage: Some vehicles are temporarily removed from the production queue based on their VIN number to handle special situations, such as faulty vehicles or to ensure the rationality of the vehicle sorting.

[0047] In specific implementation, the BDC sorting rules are not limited to the above six rules and can be flexibly increased, decreased or adjusted according to actual conditions.

[0048] The sorting adjustment of step S2 of this embodiment also includes a second round of sorting for the vehicle queue after the first round of sorting: the second round of sorting selects the next workshop on the production process route and adjusts the sorting of the vehicle queue according to the daily plan management of the corresponding workshop to ensure the execution of the production plan and the reasonable allocation of resources. Of course, it can also be configured not to participate in the daily plan management of the corresponding workshop, and then the second round of sorting will not affect the BDC sorting. Specifically, in the embodiment, the daily plan management of the general assembly workshop, that is, the planned production quantity on a specific date, is configured by the vehicle material number. In simple terms, the general assembly workshop plans to produce the number of vehicles with a specified vehicle material number on a certain date. Specifically, the MES system will filter out the vehicles that have been sorted but have not yet left the BDC workshop according to the daily plan management, and adjust the sorting of the vehicle queue for the remaining unsorted vehicle queue according to the production quantity on the specific date. For example, in this embodiment, for the remaining unsorted vehicle queue, the vehicle with the specified vehicle material number is prioritized to meet the production quantity requirements of the vehicle with the specified vehicle material number on the corresponding date.

[0049] The sorting adjustment in step S2 of this embodiment also includes a third round of sorting for the vehicle queue after the second round of sorting, which is sorted and adjusted through material ratio management, that is, multiple vehicle material numbers on the production line are selected and defined as a category, and then in the vehicle sorting process, the number of intermediate intervals of the vehicles under the category is configured. Such management means can not only optimize the production configuration of the final assembly vehicle, but also help distribution management, prevent the situation of continuous vehicles with the same vehicle material number at the end of production, and ensure the smoothness and effectiveness of the production process.

[0050] In step S3 of this embodiment, the MES system limits the number of vehicles that can be dispatched at each BDC by configuring the number of vehicles dispatched at a time to ensure that the load of the production line is within a reasonable range. At the same time, the MES system will confirm the target workshop to which the vehicle is sent based on the production process route configuration of the current vehicle queue to ensure a smooth and efficient production process.

[0051] At this time, after the above steps, the vehicle queue of this embodiment is adjusted from the initial vehicle queue 12345 entering the BDC workshop to 2534 after sorting. Since the previous sorting step is still sorting inside the MES system, but the final queue information (2534) is not sent to the BDC control system, the actual vehicle queue sorting of the BDC workshop is still not adjusted. Therefore, in step S4 of this embodiment, the MES system updates the vehicle queue information and sends it to the BDC control system. After the BDC control system successfully receives the data and feedbacks, the last queue entering the BDC workshop is recorded as the first queue, and the current queue is recorded as the second queue. The MES system will mark the vehicles in the first queue as sorted. Then, after the BDC control system receives the updated vehicle queue information (2534) of the second queue, the BDC control system physically sorts the vehicles in the BDC workshop and controls the vehicles to leave the BDC workshop according to the stored updated vehicle queue information (ABCDEFG) of the first queue, ensuring the close connection of all links.

[0052] Furthermore, in step S4 of this embodiment, the MES system also sends the updated vehicle queue information to other production line management systems to deliver the order of logistics requirements in advance to ensure the timeliness and accuracy of logistics supply. The other production line management systems include LES (Logistics Execution System), SPS (Parts Supply System), SRM (Supplier Management), etc.

[0053] In this embodiment, the MES system uses a scheduling algorithm and a sorting algorithm to adjust the sorting of the vehicle queue. The scheduling algorithm includes shortest job first, priority scheduling, and time slice rotation. The sorting algorithm includes a Partition quick sorting algorithm. Through the use of these algorithms, this application can significantly improve the overall operational efficiency and responsiveness of the BDC.

[0054] Taking the shortest job first scheduling algorithm as an example, its formula is expressed as follows:

[0055] C i =(t finish -t arrival ) / n;

[0056] Among them, C i is the completion time of the ith job, t finish is the time when the job is completed, t arrival is the arrival time of the job, and n is the execution time of the job. According to this algorithm, the MES system will select C iThe smallest job is scheduled, thereby optimizing the execution order of the jobs, reducing waiting time, and improving the overall efficiency of the system. In this application, the scheduling algorithm will intelligently schedule the storage location and outbound order of the car body based on factors such as the arrival time, expected outbound time, and priority of the car body.

[0057] Partition quick sort algorithm, i.e. Partition(A, p, r);

[0058] Where A is the array to be sorted, p and r are the starting and ending positions of the array respectively. Quick sorting selects a reference value to divide the array into two parts, all elements of one part are smaller than the elements of the other part, and then recursively sorts the two parts. In this application, the sorting algorithm determines the order of car bodies to be shipped out based on the characteristics of the car body (such as model, color, configuration, etc.) and the shipping requirements to meet the precise needs of the production line.

[0059] The scheduling algorithm and sorting algorithm described in this application are both existing technologies. During specific implementation, they can be flexibly selected according to actual conditions and will not be described in detail in this application.

[0060] As described above, the present invention can flexibly respond to changing production needs. Compared with the traditional static production scheduling method, the present invention significantly improves production efficiency and shortens the waiting time for vehicles to enter the production line through real-time data transmission and intelligent sorting algorithms. At the same time, under the combination of daily plan management and material ratio management, the scheduling and sorting of vehicles are accurate and correct, ensuring the smooth operation of the production line and optimizing the reasonable allocation of resources. While improving the utilization rate of the production line, the present invention enhances the ability of enterprises to adapt to market changes and improves overall production efficiency.

[0061] The present invention is described above by way of example in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention; or the above concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A vehicle manufacturing intelligent scheduling method, characterized by: The method comprises: Step S1: After the vehicle queue enters the BDC workshop, the vehicle queue information is obtained through the MES system, and the vehicle queue information includes the initial queue information and the target workshop; Step S2: The MES system adjusts the order of vehicles according to the initial queue information and generates final queue information; Step S3: The MES system confirms and controls the number of vehicles leaving the BDC workshop and the target workshop each time; Step S4: The MES system updates the vehicle queue information and sends it to the BDC control system. The BDC control system physically sorts the vehicles and controls the vehicles to leave the BDC workshop accordingly. The updated vehicle queue information includes the final queue information, the number of vehicles leaving each time, and the target workshop.

2. The method for intelligent scheduling of vehicle manufacturing according to claim 1, characterized in that: Before the vehicle queue enters the BDC workshop, the MES system will determine whether the corresponding production line is a straight-through production line based on the straight-through configuration of the production line where the vehicle queue is located. If it is a straight-through production line, the corresponding vehicle queue will be directly sent to the next workshop configured in the production process route; otherwise, the corresponding vehicle queue enters the BDC workshop.

3. The intelligent scheduling method for vehicle manufacturing according to claim 2 is characterized in that: Data collection points are set at the beginning and end of the production line of the BDC workshop, and the MES system obtains vehicle information by collecting passing data when the vehicle passes through the data collection points.

4. The method for intelligent scheduling of vehicle manufacturing according to claim 2 is characterized in that: The sorting adjustment in step S2 includes a first round of sorting of the initial vehicle queue, which is sorted using a preset BDC sorting rule, that is, by setting and managing the priority of each rule, and selecting each rule to be turned on or off, the vehicle queue is adjusted and sorted.

5. The method for intelligent scheduling of vehicle manufacturing according to claim 4 is characterized in that: The preset BDC sorting rules include: VIN priority: By using the corresponding VIN number of the vehicle, the preset VIN number vehicles can be prioritized; Vehicle material number priority: vehicles with the same vehicle material number are prioritized according to the vehicle material number corresponding to the vehicle; Model ratio: By allocating the ratio of vehicles of different models, the production ranking ratio of each model is allocated; Drive type ratio: the production ranking ratio of two-wheel drive and four-wheel drive vehicles is allocated according to the vehicle's drive mode; Color matching: configure the number of vehicles of the same color in the sequence; Vehicle storage: Temporarily remove certain vehicles from the production queue based on their VIN number.

6. The method for intelligent scheduling of vehicle manufacturing according to claim 5 is characterized in that: The sorting adjustment in step S2 also includes a second round of sorting for the vehicle queue after the first round of sorting: the second round of sorting selects the next workshop on the production process route and adjusts the sorting of the vehicle queue according to the daily plan management of the corresponding workshop; the daily plan management filters out the vehicles that have been sorted but have not yet left the BDC workshop, and adjusts the sorting of the remaining unsorted vehicle queues according to the production quantity on a specific date.

7. The method for intelligent scheduling of vehicle manufacturing according to claim 6 is characterized in that: The sorting adjustment in step S2 also includes performing a third round of sorting on the vehicle queue after the second round of sorting, that is, selecting multiple vehicle material numbers on the production line and defining them as a category, and then configuring the number of intermediate intervals between vehicles under the category during the vehicle sorting process.

8. The method for intelligent scheduling of vehicle manufacturing according to claim 2 is characterized in that: In step S4, the MES system updates the vehicle queue information and sends it to the BDC control system. After the BDC control system successfully receives the data and gives feedback, the last queue that entered the BDC workshop is recorded as the first queue, and the current queue is recorded as the second queue. The MES system will mark the vehicles in the first queue as sorted. Then, after the BDC control system receives the updated vehicle queue information of the second queue, the BDC control system physically sorts the vehicles in the BDC workshop and controls the vehicles to leave the BDC workshop according to the stored updated vehicle queue information of the first queue.

9. The method for intelligent scheduling of vehicle manufacturing according to claim 8, characterized in that: In step S4, the MES system also sends the updated vehicle queue information to other production line management systems, including LES, SPS, and SRM.

10. A vehicle manufacturing intelligent scheduling method according to any one of claims 1 to 9, characterized in that: The MES system uses a scheduling algorithm and a sorting algorithm to adjust the sorting of vehicle queues. The scheduling algorithm includes shortest job first, priority scheduling, and time slice rotation. The sorting algorithm includes a Partition quick sorting algorithm.

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