Logistics indication method and system based on actual vehicle sequence

By obtaining and analyzing the production information of the automobile assembly line, determining the material usage batch and pre-supply plan, the problem of insufficient internal detail control of the assembly line is solved, accurate prediction and timely supply of material demand is achieved, and production efficiency and product quality are improved.

CN120146495APending Publication Date: 2025-06-13CHANGCHUN FAW INT LOGISTICS CO LTD
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Patent Information

Application Number
CN202510227576.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-27
Publication Date
2025-06-13

AI Technical Summary

Technical Problem

The prior art lacks control over the internal details of the assembly line during the automobile assembly process, resulting in the risk of emergency parts and station stops, affecting production efficiency.

Method used

By obtaining the production information of the target production line, including production speed, quantity of remaining materials and batches, determine the current material usage batch, and determine the batch and distribution time of pre-supplied materials based on this information and distribution time.

Benefits of technology

Accurate prediction and timely supply of material demand is achieved, avoiding the risks of emergency parts and shutdowns, and improving production efficiency and product quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a logistics indication method and system based on an actual vehicle sequence. The logistics indication method comprises the steps that production information of a target production line is obtained, the production information at least comprises the production speed, the number of remaining materials before working, the batch of the remaining materials before working and the total capacity of a line measuring appliance, and the target production line is each branch line body of a vehicle final assembly line; determining the use batch of the material at the current moment according to the production information; and determining the batch of the pre-supplied material and the delivery time of the pre-supplied material based on the use batch, the production information and the delivery time of the material at the current moment. According to the method, the technical problem that urgent parts and stop risks are easily caused due to insufficient control on internal details of the final assembly line is solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of logistics, and in particular, to a logistics indication method and system based on the actual vehicle sequence. Background Art

[0002] With the rapid transformation of the global manufacturing industry towards intelligence, automation, and information platformization, the automotive industry, as a key pillar among them, is undergoing unprecedented changes. In this wave of transformation, logistics management, as an important link connecting production and sales and determining production efficiency and operating costs, the improvement of its intelligence level has become an urgent need to promote the upgrading of the automotive industry. Factory logistics, especially for the material supply during the automotive assembly process, has reached an unprecedented level of complexity and precision requirements. Traditional logistics management methods mostly rely on manual experience, especially in the link from storage and distribution to supply on the production line. This not only leads to low operation efficiency, but also when facing complex production plans and changing market demands, the flexibility and accuracy of logistics response are greatly reduced, thereby increasing production costs and delay risks.

[0003] The just-in-time logistics model adopted by leading companies in the automotive manufacturing industry such as Toyota, although based on the real-time progress of the production line for material supply, greatly improves logistics efficiency and production continuity, and reduces inventory backlog and waste, still has certain limitations. It is mainly manifested in that it only focuses on the number of vehicles at the off-line point of the final assembly line, while ignoring the fine control of the actual progress of each sub-line inside the final assembly line. This means that in the complex environment of the production line, the material supply may not be able to accurately match the actual needs of each sub-line. Especially in the current context of the transformation of the automotive industry towards customized and flexible production, this limitation is more prominent, prone to causing risks of rush orders and stoppages, directly affecting production efficiency.

[0004] Regarding the problem of risks of rush orders and stoppages easily caused by insufficient control of the internal details of the final assembly line, no effective solution has been proposed yet. Summary of the Invention

[0005] Embodiments of the present invention provide a logistics indication method and system based on the actual vehicle sequence to at least solve the technical problem of risks of rush orders and stoppages easily caused by insufficient control of the internal details of the final assembly line.

[0006] According to one aspect of an embodiment of the present invention, a logistics indication method based on the actual vehicle sequence is provided, including: obtaining production information of a target production line, where the production information at least includes: production speed, the quantity of remaining materials before the start of the shift, the batch of remaining materials before the start of the shift, and the total capacity of the line-side measuring instruments, and the target production line is each sub-line of the vehicle general assembly line; determining the batch of materials used at the current moment according to the production information; determining the batch of pre-supplied materials and the delivery time of the pre-supplied materials based on the batch of materials used at the current moment, the production information, and the delivery duration.

[0007] Further, obtaining the production information of the target production line includes: collecting the off-line quantity, off-line time, and identification information of the finished products on the target production line in the current shift; determining the production speed according to the off-line quantity, off-line time, and identification information.

[0008] Further, before determining the production speed, clear the invalid fields and invalid fields of the identification information.

[0009] Further, before determining the production speed, determine whether the off-line times corresponding to the valid identification information are unique; if not, retain the first off-line time with the earliest time, and clear the other corresponding off-line times except the first off-line time.

[0010] Further, determining the batch of pre-supplied materials and the delivery time of the pre-supplied materials based on the batch of materials used at the current moment, the production information, and the delivery duration includes: determining the batch of pre-supplied materials and the usage time of the pre-supplied materials according to the batch of materials used at the current moment and the production information; determining the delivery time of the pre-supplied materials according to the usage time of the pre-supplied materials and the delivery duration.

[0011] Further, determining the batch of pre-supplied materials and the delivery time of the pre-supplied materials based on the batch of materials used at the current moment, the production information, and the delivery duration includes: determining the batch of pre-supplied materials and the usage time of the pre-supplied materials according to the batch of materials used at the current moment and the production information; determining the delivery time of the pre-supplied materials according to the usage time of the pre-supplied materials, the idle quantity of the line-side instruments, and the delivery time.

[0012] Further, the logistics indication method further includes: generating a delivery instruction set according to the delivery time of the pre-supplied materials of the target production line, and the delivery instruction set at least includes: the strategy of synchronously delivering multiple target production lines by the same delivery vehicle, and multiple target production lines matching different delivery vehicles.

[0013] According to another aspect of the embodiments of the present invention, a logistics indication system based on the actual vehicle sequence is further provided, including: an acquisition module, which is used to acquire the production information of the target production line, and the production information at least includes: production speed, the quantity of remaining materials before starting work, the batch of remaining materials before starting work, and the total capacity of the line inspection tools, where the target production line is each sub-line of the vehicle general assembly line; a first generation module, which is used to determine the usage batch of materials at the current moment according to the production information; a second generation module, which is used to determine the batch of pre-supplied materials and the delivery time of the pre-supplied materials based on the usage batch of materials at the current moment, the production information, and the delivery duration.

[0014] According to another aspect of the embodiments of the present invention, a computer storage medium is further provided. The computer storage medium includes a stored program, wherein when the program runs, it controls the device where the computer storage medium is located to execute the above-mentioned logistics indication method.

[0015] According to another aspect of the embodiments of the present invention, a computer program product is further provided, including a computer program, and when the computer program is executed by a processor, it implements the above-mentioned logistics indication method.

[0016] In the embodiments of the present invention, by acquiring the production information of each sub-line of the vehicle general assembly line, that is, acquiring the vehicle passing point information of each sub-line, the quantity of remaining materials before starting work of each line, and the batch of remaining materials before starting work of each line, the production speed and material consumption situation of each sub-line can be accurately grasped; according to the production information, the usage batch of materials at the current moment is determined, that is, as time goes by, the materials are continuously consumed, and the quantity of remaining materials and the batch of remaining materials of the current shift can be updated in real time according to the usage batch of materials at the current moment; based on the usage batch of materials at the current moment, the production information, and the delivery duration, the batch of pre-supplied materials and the delivery time are determined. The above-mentioned logistics indication method can accurately predict the material requirements according to the real-time operation information of each sub-line, supply materials in time, avoid the risks of urgent orders and line stoppages, and thus ensure production efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention, form a part of this application, and the schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0018] Figure 1 is a hardware structure block diagram of a computer terminal (or mobile device) for implementing the logistics indication method based on the actual vehicle sequence according to the embodiments of the present invention;

[0019] Figure 2 is a flowchart of the logistics indication method based on the actual vehicle sequence according to the embodiments of the present invention;

[0020] Figure 3 It is a structural block diagram of a logistics indication system based on the actual vehicle sequence according to an embodiment of the present invention. Detailed implementation manners

[0021] In order to enable those skilled in the art of this technology to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned accompanying drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to an embodiment of the present invention, an embodiment of a logistics indication method based on the actual vehicle sequence is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from that here.

[0024] Figure 1 It is a hardware structural block diagram of a computer terminal (or mobile device) for implementing a logistics indication method based on the actual vehicle sequence according to an embodiment of the present invention. As Figure 1As shown, a computer terminal (or mobile device) may include one or more processors 102 (processors may include, but are not limited to, processing devices such as a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field-programmable gate array (FPGA), a neural network processor (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, etc.) and a memory 104 for storing data. In addition, it may further include a transmission device 106 for communication functions, an input / output device 108, and a display 110. Those of ordinary skill in the art can understand that Figure 1 the structure shown is only schematic and does not limit the structure of the above computer terminal (or mobile device). For example, the computer terminal may further include more or fewer components than those described in the above structure, or have a configuration different from that described in the above structure.

[0025] The memory 104 can be used to store computer programs. For example, software programs and modules of application software, such as the computer program corresponding to the logistics indication method based on the actual vehicle sequence in the embodiments of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implements the above-mentioned logistics indication method based on the actual vehicle sequence. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal through a network. Examples of the above network include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission device 106 is used to receive or send data via a network. Specific examples of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one instance, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices through a base station and thus communicate with the Internet. In one instance, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] The display 110 can be a touch-screen liquid crystal display (LCD). The liquid crystal display enables a user to interact with the user interface of the mobile terminal. In some embodiments, the above-mentioned mobile terminal has a graphical user interface (GUI), and the user can perform human-computer interaction with the GUI through finger contacts and / or gestures on the touch-sensitive surface. The human-computer interaction function may optionally include the following interactions: creating web pages, drawing, word processing, creating electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music, and / or web browsing, etc. Executable instructions for performing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0028] Figure 2 is a flowchart of a logistics indication method based on the actual vehicle sequence according to an embodiment of the present invention. As Figure 2 shown, the process includes the following steps:

[0029] Step S1: Obtain the production information of the target production line. The production information at least includes: production speed, the quantity of remaining materials before starting work, the batches of remaining materials before starting work, and the total capacity of the measuring line appliances. Among them, the target production line is each sub-line of the vehicle general assembly line.

[0030] It can be understood that the vehicle general assembly line is also called the general assembly workshop or the general assembly production line, which is used to finally assemble each assembly and component of the vehicle into a complete vehicle. Among them, each sub-line includes but is not limited to the interior line, exterior line, chassis line, engine line and other lines.

[0031] It should be noted that the production information is generally collected by sensors installed on the target production line and calculated based on the collected information. The measuring line appliances are used to hold materials, and the measuring line appliances are divided into multiple accommodation areas, and each accommodation area is used to hold materials of different batches.

[0032] It should be further noted that, by way of example, assembling a vehicle requires consuming one A material. The production speed represents the progress of consuming one A material, or the passing point progress of the vehicle on the line where the A material is located (i.e., the offline progress of the vehicle on this line).

[0033] Step S2: Determine the usage batch of materials at the current moment according to the production information.

[0034] It should be noted that during the vehicle assembly process, the materials are used in a preset order. Therefore, the usage batch of materials at the current moment can be predicted in real time according to the production speed of the corresponding line and the batches of remaining materials before starting work.

[0035] Exemplarily, a vehicle needs to assemble a material A, with 6 pieces of material A in each batch. The materials with smaller batch numbers are preferentially used, and multiple material As within the same batch are also sorted, with the material A with a larger serial number within the same batch being preferentially used. One material A is consumed per minute (i.e., the passing speed of the vehicle on the line where the material A is located is 1 vehicle per minute). Before the start of the shift, the remaining batches of material A are batch a1, batch a2, and batch a3. Among them, the remaining quantity of batch a1 is 4, and the remaining quantities of batch a2 and batch a3 are both 6. The start time of the current shift is 10:00, that is, the used batch of the material at 10:00 is a1-4, the used batch of the material at 10:01 is a1-3, the used batch of the material at 10:02 is a1-2, ……, and the used batch of the material at 10:16 is a3-1.

[0036] Step S3: Based on the used batch of the material, production information, and delivery duration at the current moment, determine the batch of the pre-supplied material and the delivery time of the pre-supplied material.

[0037] It should be noted that the expected arrival time of the pre-supplied material at the corresponding line should be less than or equal to the time to consume the remaining material. Exemplarily, the remaining material is used up at 10:16, and it is expected to use the pre-supplied material at 10:17. Then the pre-supplied material needs to arrive at this line at 10:17 or before 10:17.

[0038] In the embodiment of the present application, the production information of each sub-line of the vehicle final assembly line is obtained, that is, the vehicle passing information of each sub-line, the quantity of the remaining material before the start of each line, and the batch of the remaining material before the start of each line are obtained, so as to accurately master the production speed and material consumption situation of each sub-line; determine the used batch of the material at the current moment according to this production information, that is, the material is continuously consumed over time, and the quantity of the remaining material in the current shift and the batch of the remaining material in the current shift can be updated in real time according to the used batch of the material at the current moment; based on the used batch of the material, production information, and delivery duration at the current moment, determine the batch of the pre-supplied material and the delivery time. The above-mentioned logistics indication method can achieve accurate prediction of material requirements according to the real-time operation information of each sub-line, supply materials in a timely manner, avoid the risks of urgent parts and line stoppages, and thus ensure production efficiency and product quality.

[0039] In a demonstrative embodiment of the present application, the step of obtaining the production information of the target production line in step S1 includes the following steps:

[0040] Step S11: Collect the off-line quantity, off-line time, and identification information of the finished products on the target production line in the current shift.

[0041] It should be noted that the finished products refer to the vehicles assembled with corresponding materials at the corresponding production line. The off-line quantity refers to the off-line quantity of the vehicles or the passing quantity of the vehicles. The off-line time refers to the off-line time of the vehicles or the passing time of the vehicles. The identification information refers to the information used to distinguish different vehicles.

[0042] Exemplarily, sensors are used to identify and count the off-line vehicles. Meanwhile, the off-line time and identification information corresponding to the off-line vehicles are recorded. Among them, the identification information can be at least one of the vehicle identification number (VIN) code of the vehicle body chassis, the sales code, etc.

[0043] Step S12: Determine the production speed according to the off-line quantity, off-line time, and identification information.

[0044] It should be noted that the production speeds at different time periods on the same production line in the same shift are the same. Therefore, it is only necessary to calculate the production speed within a certain time period of the current shift.

[0045] Exemplarily, within the time period from 10:00 to 10:30, the effective information recorded by the sensors is 30 pieces, which means the off-line quantity of the vehicles is 30. Then the production speed of this production line is 1 vehicle per minute.

[0046] Steps S11 to S12 determine the assembly speed (material consumption speed) of the vehicles in the current shift according to the off-line quantity, off-line time, and identification information of the vehicles in the current shift, and collect the corresponding information in real time within the current shift. Considering the factors of the production line itself (such as the aging of various components on the production line), the determination of the above production speed is more accurate than the calibrated production speed, and thus the supply of materials is more timely.

[0047] Among them, before determining the production speed, it is necessary to clear the invalid fields and invalid fields of the identification information.

[0048] It should be noted that the logistics indication system needs to quickly process and analyze a large amount of data to generate accurate material supply instructions. Marking some fields of the vehicles as invalid fields can simplify the data processing process, improve the system operation efficiency, avoid unnecessary data redundancy and processing burden, and thus ensure that the determined production speed is more accurate.

[0049] Exemplarily, the identification information collected by the sensor includes: vehicle identification number (VIN) of the vehicle body chassis, vehicle model, sales code, body code, engine number, sales order number, etc. The body code, engine number, and sales order number are marked as invalid fields. That is, the logistics indication system can quickly calculate the batch requirements of the pre-supplied materials and the delivery time of the pre-supplied materials by capturing key fields such as VIN, vehicle model, and sales code, without involving additional information that is not directly related to the current logistics indication task, ensuring the efficiency and accuracy of the supply line operation. In addition, the identification information collected by the sensor may include blank data (invalid fields), and the logistics indication system will ignore the invalid fields.

[0050] It can be understood that the body code is usually used for internal management identification and can help track the entire process of the vehicle from production to sales. However, in the logistics indication system, the actual vehicle sequence information of the vehicle (i.e., the VIN of the vehicle body chassis) is already sufficient to identify and track the specific position and progress of the vehicle on the production line. Although the body code has some overlapping information with the VIN, in the logistics indication system, due to the uniqueness and wider usability of the VIN, the information of the body code appears redundant and is not on the critical path, so it is marked as an invalid field.

[0051] It can be understood that the engine number is the unique identifier of the engine and is used for the tracking and management of the engine. During the final assembly stage, the logistics indication system is more concerned about the overall production progress and material requirements of the vehicle rather than the detailed information of a specific component (such as the engine). The engine number is not directly relevant to indicating when what kind of materials need to be put on the line, so it is also regarded as an invalid field in the logistics indication process.

[0052] It can be understood that the sales order number is mainly used in the sales and financial systems. It represents the specific order information of the customer, including vehicle configuration, quantity, delivery date, etc. In the logistics indication system, although the sales order information has a certain impact on the formulation of the production plan and material procurement, when actually executing the supply line operation, the focus of the system is on the material requirements and usage of the current production line rather than the details of the long-term sales order. The sales order number has a relatively low relevance to the immediate logistics indication requirements, so it is also marked as an invalid field.

[0053] Furthermore, before determining the production speed, the following steps of judgment and determination are also required:

[0054] Step S111: Judge whether the offline time corresponding to the valid identification information is unique.

[0055] Step S112: If not, retain the first offline time that is earlier in time, and clear the other corresponding offline times except the first offline time.

[0056] It should be noted that the off-line time of the vehicle is unique. When there are multiple off-line times for the same vehicle, it indicates that there is an error in data transmission, and the off-line time needs to be corrected to ensure its accuracy.

[0057] Exemplarily, when the off-line times of the vehicle with the body chassis number VIN code LFPH4ACP7R2C40995 are 10:20, 10:21, and 10:22, 10:21 and 10:22 are cleared, and only 10:20 is retained.

[0058] In an exemplary embodiment of the present application, in step S3, based on the usage batch, production information, and delivery duration of the materials at the current moment, determining the batch of the pre-supplied materials and the delivery time of the pre-supplied materials includes the following steps:

[0059] Step S31: According to the usage batch and production information of the materials at the current moment, determine the batch of the pre-supplied materials and the usage time of the pre-supplied materials.

[0060] Exemplarily, the remaining batches of material A before starting work are batch a1, batch a2, and batch a3. Among them, the remaining quantity of batch a1 is 4, and the remaining quantities of batch a2 and batch a3 are both 6. The starting time of the current shift is 10:00, that is, the usage batch of the materials at 10:00 is a1-4, the usage batch of the materials at 10:01 is a1-3, the usage batch of the materials at 10:02 is a1-2, ……, and the usage batch of the materials at 10:16 is a3-1.

[0061] If the current moment is 10:02 and the usage batch of the materials at 10:02 is a1-2, the remaining quantity of material A on the current line can be calculated as 13. That is to say, the remaining material A on the current line is expected to be consumed after 13 minutes, that is, the usage time of the pre-supplied materials is 10:17. Since material A is supplied and consumed by batch, and the total capacity of the measuring line equipment is also known (for example, the measuring line equipment can accommodate three batches of materials at the same time, and each batch of materials is 6), the batches of the pre-supplied materials are batch a4, batch a5, and batch a6.

[0062] Step S32: According to the usage time and delivery duration of the pre-supplied materials, determine the delivery time of the pre-supplied materials.

[0063] Exemplarily, the delivery duration is 5 minutes. Then the delivery time of batch a4, batch a5, and batch a6 is 10:12 or before 10:12 to avoid delaying production.

[0064] In another exemplary embodiment of the present application, in step S3, based on the usage batch, production information, and delivery duration of the materials at the current moment, determining the batch of the pre-supplied materials and the delivery time of the pre-supplied materials includes the following steps:

[0065] Step S310: Determine the batch of the pre-supplied material and the usage time of the pre-supplied material according to the usage batch and production information of the material at the current moment.

[0066] Exemplarily, the batches of remaining Material A before starting work are Batch a1, Batch a2, and Batch a3. Among them, the remaining quantity of Batch a1 is 4, and the remaining quantities of Batch a2 and Batch a3 are both 6. The starting time of the current shift is 10:00, that is, the usage batch of the material at 10:00 is a1-4, the usage batch of the material at 10:01 is a1-3, the usage batch of the material at 10:02 is a1-2,..., and the usage batch of the material at 10:16 is a3-1.

[0067] It should be noted that Material A is supplied and consumed batch by batch, and the total capacity of the measuring line appliances is also known (for example, the measuring line appliances can accommodate three batches of materials at the same time, and each batch of materials is 6).

[0068] If the current moment is 10:03, the usage batch of the material at 10:03 is a1-1. At this time, one accommodation area of the measuring line appliance is an idle area; the remaining Material A on the current line is expected to be consumed up at 10:16, so the usage time of the pre-supplied material is 10:17.

[0069] Step S310: Determine the delivery time of the pre-supplied material according to the usage time of the pre-supplied material, the idle quantity of the line-side appliances, and the delivery time.

[0070] Exemplarily, at 10:03, the idle quantity of the line-side appliances is 1, the usage time of the pre-supplied material is 10:17, and the delivery time is 5 minutes. Therefore, according to the idle quantity of the line-side appliances, a certain batch of materials or two batches of materials can be delivered. For example, Batch a4 can be delivered alone between 9:58 and 10:11.

[0071] In an exemplary embodiment of the present application, the logistics indication method further includes the following steps:

[0072] Step S4: Generate a delivery instruction set according to the delivery time of the pre-supplied material of the target production line. The delivery instruction set at least includes: the strategy of synchronously delivering multiple target production lines by the same delivery vehicle, and different delivery vehicles are matched for multiple target production lines.

[0073] Exemplarily, the delivery time of Material B on the interior line is 10:16 or before, and the delivery duration is 5 minutes; the delivery time of Material C on the chassis line is 10:17 or before, and the delivery duration is 6 minutes; and the driving time required for the journey between the interior line and the chassis line is 2 minutes. The delivery vehicle can synchronously deliver Material B and Material C at 10:15, arrive at the interior line at 10:20 first, and it takes 1 minute to load and unload the materials. Then it continues to deliver Material C at 10:21 and arrives at the chassis line at 10:23. Synchronously delivering to multiple target production lines by the same delivery vehicle helps to reduce the number of delivery personnel and delivery vehicles and improve the delivery efficiency.

[0074] As an alternative implementation, under the condition of sufficient delivery personnel and delivery vehicles, the materials required for each line can be delivered separately.

[0075] The delivery process is as follows:

[0076] The tractor drives to the small parts Shunjian preparation area or the large parts Shunjian preparation area to pick up parts, connects the appliance full of parts to the tractor, and according to the supply batch and supply time on the screen of the Shunjian supply indication system, drives to the corresponding line side, pushes the appliance full of parts into the fixed line and arranges it neatly, locks the casters, after throwing the parts, connects the returned empty appliance to the tractor, drives the tractor to the empty appliance recycling place to process the empty appliance, and after returning empty, drives the tractor back to the preparation area.

[0077] According to another specific embodiment of the present application, a logistics indication system based on the actual vehicle sequence is also provided. Specifically, as Figure 3 shown, the logistics indication system includes: an acquisition module, a first generation module, and a second generation module.

[0078] Specifically, the acquisition module is used to acquire the production information of the target production line. The production information at least includes: production speed, the quantity of remaining materials before starting work, the batch of remaining materials before starting work, and the total capacity of the measuring line appliances. Among them, the target production line is each sub-line of the vehicle final assembly line. The first generation module is used to determine the usage batch of materials at the current moment according to the production information. The second generation module is used to determine the batch of pre-supplied materials and the delivery time of the pre-supplied materials based on the usage batch of materials at the current moment, the production information, and the delivery duration.

[0079] It should be noted that the production information of each line, the usage batch of materials at the current moment, the batch of pre-supplied materials, and the delivery time of the pre-supplied materials are displayed on the display screen of the logistics indication system for the delivery personnel and logistics management personnel to view.

[0080] In an embodiment of the present application, the production information of each sub - production line of the vehicle general assembly line is obtained, that is, the vehicle passing point information of each sub - production line, the quantity of remaining materials before the start of each production line, and the batches of remaining materials before the start of each production line are obtained, so as to accurately grasp the production speed and material consumption of each sub - production line; according to this production information, the batch of materials used at the current moment is determined, that is, the materials are continuously consumed over time, and the quantity of remaining materials in the current shift and the batches of remaining materials in the current shift can be updated in real time according to the batch of materials used at the current moment; based on the batch of materials used at the current moment, the production information, and the delivery duration, the batch of pre - supplied materials and the delivery time of the pre - supplied materials are determined. The above - mentioned logistics indication method can accurately predict the material demand according to the real - time operation information of each sub - production line, supply materials in a timely manner, avoid the risks of rush orders and production stoppages, and thus ensure production efficiency and product quality.

[0081] According to another specific embodiment of the present application, a computer storage medium is further provided. The computer storage medium includes a stored program, wherein when the program runs, it controls the device where the computer storage medium is located to execute the logistics indication method of the above - mentioned embodiment.

[0082] In this embodiment, the above - mentioned storage medium can be set to store a computer program for executing the following steps:

[0083] Step S1: Obtain the production information of the target production line. The production information at least includes: production speed, the quantity of remaining materials before the start of the shift, the batches of remaining materials before the start of the shift, and the total capacity of the measuring line tools, where the target production line is each sub - production line of the vehicle general assembly line.

[0084] Step S2: Determine the batch of materials used at the current moment according to the production information.

[0085] Step S3: Based on the batch of materials used at the current moment, the production information, and the delivery duration, determine the batch of pre - supplied materials and the delivery time of the pre - supplied materials.

[0086] In an embodiment of the present application, the production information of each sub - production line of the vehicle general assembly line is obtained, that is, the vehicle passing point information of each sub - production line, the quantity of remaining materials before the start of each production line, and the batches of remaining materials before the start of each production line are obtained, so as to accurately grasp the production speed and material consumption of each sub - production line; according to this production information, the batch of materials used at the current moment is determined, that is, the materials are continuously consumed over time, and the quantity of remaining materials in the current shift and the batches of remaining materials in the current shift can be updated in real time according to the batch of materials used at the current moment; based on the batch of materials used at the current moment, the production information, and the delivery duration, the batch of pre - supplied materials and the delivery time of the pre - supplied materials are determined. The above - mentioned logistics indication method can accurately predict the material demand according to the real - time operation information of each sub - production line, supply materials in a timely manner, avoid the risks of rush orders and production stoppages, and thus ensure production efficiency and product quality.

[0087] According to another specific embodiment of the present application, a computer program product is further provided, including a computer program, which implements the above-mentioned logistics indication method when executed by a processor.

[0088] In this embodiment, the above-mentioned processor may be configured to execute the following steps through a computer program:

[0089] Step S1: Obtain the production information of the target production line, where the production information at least includes: production speed, the quantity of remaining materials before the start of the shift, the batch number of the remaining materials before the start of the shift, and the total capacity of the line inspection tools. Among them, the target production line is each sub-line of the vehicle general assembly line.

[0090] Step S2: Determine the usage batch of materials at the current moment according to the production information.

[0091] Step S3: Based on the usage batch of materials at the current moment, production information, and delivery duration, determine the batch number of pre-supplied materials and the delivery time of pre-supplied materials.

[0092] In the embodiment of the present application, obtaining the production information of each sub-line of the vehicle general assembly line, that is, obtaining the vehicle passing point information of each sub-line, the quantity of remaining materials before the start of each line, and the batch number of the remaining materials before the start of each line, so as to accurately master the production speed and material consumption of each sub-line; determining the usage batch of materials at the current moment according to the production information, that is, the materials are continuously consumed over time, and the quantity and batch number of the remaining materials in the current shift can be updated in real time according to the usage batch of materials at the current moment; based on the usage batch of materials at the current moment, production information, and delivery duration, determining the batch number of pre-supplied materials and the delivery time. The above-mentioned logistics indication method can realize accurate prediction of material requirements according to the real-time operation information of each sub-line, supply materials in time, avoid the risks of urgent parts and production stops, and thus ensure production efficiency and product quality.

[0093] The serial numbers of the above-mentioned embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0094] In the above embodiments of the present invention, the descriptions of each embodiment have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0095] In several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are merely illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of units or modules can be in an electrical or other form.

[0096] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0097] In addition, in each embodiment of the present invention, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0098] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0099] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A logistics indication method based on actual vehicle sequence, characterized in that: include: Acquire production information of the target production line, the production information at least including: production speed, quantity of remaining materials before the start of the shift, batches of remaining materials before the start of the shift, and total capacity of line measuring equipment, wherein the target production line is each branch of the vehicle assembly line; Determine the batch of materials used at the current moment based on the production information; Based on the current batch of the material, the production information and the delivery time, the batch of the pre-supplied material and the delivery time of the pre-supplied material are determined.

2. The logistics indication method according to claim 1, characterized in that: Obtain production information of the target production line, including: Collect the number of finished products coming off the target production line in the current shift, the time when the finished products come off the line, and identification information; determine the production speed based on the number of finished products coming off the line, the time when the finished products come off the line, and the identification information.

3. The logistics indication method according to claim 2, characterized in that: Before determining the production speed, the invalid field and the invalid field of the identification information are cleared.

4. The logistics indication method according to claim 3, characterized in that: Before determining the production speed, determining whether the offline time corresponding to the valid identification information is unique; If not, retain the first offline time that is earlier in time, and clear the other corresponding offline times except the first offline time.

5. The logistics indication method according to claim 1, characterized in that: Determining the batch of the pre-supplied material and the delivery time of the pre-supplied material based on the current batch of the material, the production information and the delivery time includes: Determine the batch of the pre-supplied material and the usage time of the pre-supplied material according to the usage batch of the material at the current moment and the production information; The delivery time of the pre-supplied material is determined according to the usage time and the delivery time of the pre-supplied material.

6. The logistics indication method according to claim 1, characterized in that: Based on the current batch of the material, the production information and the delivery time, determining the batch of the pre-supplied material and the delivery time of the pre-supplied material includes: Determine the batch of the pre-supplied material and the usage time of the pre-supplied material according to the usage batch of the material at the current moment and the production information; The delivery time of the pre-supplied material is determined according to the usage time of the pre-supplied material, the idle quantity of the line-side tools and the delivery time.

7. The logistics indication method according to claim 1, characterized in that: The logistics indication method also includes: A delivery instruction set is generated according to the delivery time of the pre-supplied materials of the target production line, and the delivery instruction set at least includes: a strategy of synchronous delivery of multiple target production lines by the same delivery vehicle and matching multiple target production lines with different delivery vehicles.

8. A logistics indication system based on actual vehicle sequence, characterized in that: include: An acquisition module, the acquisition module is used to acquire production information of a target production line, the production information at least including: production speed, quantity of remaining materials before the start of a shift, batches of remaining materials before the start of a shift, and total capacity of line measuring equipment, wherein the target production line is each branch of a vehicle assembly line; A first generation module, the first generation module is used to determine the use batch of the material at the current moment according to the production information; The second generation module is used to determine the batch of pre-supplied materials and the delivery time of the pre-supplied materials based on the usage batch of the material at the current moment, the production information and the delivery time.

9. A computer storage medium, characterized in that The computer storage medium includes a stored program, wherein when the program is executed, the device where the computer storage medium is located is controlled to execute the logistics indication method described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the logistics indication method described in any one of claims 1-7 is implemented.