Transportation scheme generation method and device for on-time production of parts

Abstract

The invention discloses a transportation scheme generation method and device for part on-time production. The method comprises the steps that material consumption condition data and material inventory condition data of at least one material are obtained, and the at least one material is the material needed by a part production line adopting a punctual production mode; on the basis of the material consumption condition data and the material inventory condition data, predicting the remaining material use duration of the at least one material; and determining a material transportation scheme of the at least one material based on the remaining material use duration. According to the invention, the technical problems of low accuracy and low timeliness of material transportation on the production line in the prior art are solved.

Description

Technical Field

[0001] This invention relates to the field of logistics information processing, and more specifically, to a method and apparatus for generating transportation plans for just-in-time production of parts. Background Technology

[0002] In modern manufacturing, just-in-time (JIT) production has become a crucial strategy for improving production efficiency and reducing costs. However, current component logistics and transportation systems face multiple technical challenges in adapting to JIT production. Traditional transportation planning relies on fixed cycles or static scheduling, making it difficult to respond in real-time to dynamic changes in the production line. This leads to a disconnect between material supply and production demand, potentially causing production interruptions or excessive inventory. Resource scheduling also relies on manual experience, making it difficult to dynamically adjust based on real-time demand. Consequently, the accuracy and timeliness of material transportation to the production line in related technologies are relatively low.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method and apparatus for generating transportation solutions for just-in-time production of parts, in order to at least solve the technical problems of low accuracy and timeliness in material transportation to production lines in related technologies.

[0005] According to one aspect of the present invention, a method for generating a transportation plan for just-in-time (JIT) production of parts is provided, comprising: acquiring material consumption status data and material inventory status data of at least one material, wherein the at least one material is a material required by a parts production line adopting a JIT production mode; predicting the remaining material usage time of the at least one material based on the material consumption status data and the material inventory status data; and determining a material transportation plan for the at least one material based on the remaining material usage time.

[0006] In this embodiment of the invention, determining a material transportation plan for at least one material based on the remaining material usage time includes: obtaining supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to at least one material; determining a supplier stocking plan, a logistics provider transportation plan, and a factory receiving plan for at least one material based on the remaining material usage time, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information; and determining a material transportation plan based on the supplier stocking plan, logistics provider transportation plan, and factory receiving plan.

[0007] In this embodiment of the invention, obtaining supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to at least one material includes: establishing a first standardized interface with the supplier information system, a second standardized interface with the logistics provider information system, and a third standardized interface with the factory receiving end information system; calling the first standardized interface to obtain supplier material production status information, calling the second standardized interface to obtain logistics provider transportation capacity information, and calling the third standardized interface to obtain factory receiving end status information.

[0008] In this embodiment of the invention, obtaining material consumption status data for at least one material includes: collecting material consumption status data based on radio frequency identification equipment and / or sensors installed on the component production line.

[0009] In this embodiment of the invention, the method further includes: transporting materials to the component production line based on the material transportation plan; in the event of a transportation failure, sending the failure status data to the supplier side through a first standardized interface, to the logistics provider side through a second standardized interface, and to the factory receiving end through a third standardized interface; and adjusting the material transportation plan based on the failure status data, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information to obtain an adjusted material transportation plan.

[0010] In this embodiment of the invention, the material transportation scheme includes a return transportation scheme on the logistics provider side. The method further includes: after transporting at least one material from the logistics provider side to the factory receiving end, determining the packaging equipment data of at least one material; and determining a return transportation scheme based on the packaging equipment data.

[0011] According to another aspect of the present invention, a transportation plan generation device for just-in-time (JIT) production of parts is also provided, comprising: an acquisition module for acquiring material consumption status data and material inventory status data of at least one material, wherein the at least one material is a material required by a parts production line adopting a JIT production mode; a prediction model for predicting the remaining material usage time of the at least one material based on the material consumption status data and the material inventory status data; and a determination module for determining a material transportation plan for the at least one material based on the remaining material usage time.

[0012] According to another aspect of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods of various embodiments of the present invention during runtime.

[0013] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0014] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0015] According to another aspect of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0016] According to another aspect of the present invention, a computer program is also provided, which, when executed by a processor, implements the methods of the various embodiments of the present invention.

[0017] In this embodiment of the invention, firstly, material consumption data and material inventory data of at least one material are acquired. This at least one material is required by a parts production line employing a just-in-time (JIT) production model. Next, based on the material consumption data and material inventory data, the remaining usage time of the at least one material is predicted. Finally, based on the remaining usage time, a material transportation plan for the at least one material is determined. By monitoring the material consumption data and material inventory data of at least one material required by a parts production line employing a JIT production model, material demand can be accurately predicted, production line changes can be responded to in a timely manner, and close coupling of transportation and production can be achieved. This improves the overall responsiveness and accuracy of the supply chain, allowing transportation plans to be prepared and scheduled in advance, ensuring that materials are ready before depletion. Accurate prediction of the remaining material usage time helps improve material inventory management strategies. By reducing excess inventory, storage and costs can be reduced, alleviating pressure on storage facilities. Determining a material transportation plan for at least one material based on the remaining material usage time allows for advance planning of transportation tasks, avoiding material shortages on the production line, and achieving precise matching between the supply chain and production plans. This solves the technical problems of low accuracy and timeliness in material transportation to production lines in related technologies. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0019] Figure 1This is a flowchart of a transportation plan generation method for just-in-time production of parts according to an embodiment of the present invention;

[0020] Figure 2 This is a schematic diagram of an optional material transportation process according to an embodiment of the present invention;

[0021] Figure 3 This is a schematic diagram of a transportation scheme generation device for just-in-time production of parts according to an embodiment of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] According to one aspect of the present invention, a method for generating transportation schemes for just-in-time production of parts is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0025] Figure 1 This is a flowchart of a transportation plan generation method for just-in-time production of parts according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0026] Step S102: Obtain material consumption status data and material inventory status data for at least one material.

[0027] At least one of the materials is required by a parts production line that adopts a just-in-time production model.

[0028] At least one of the aforementioned materials can refer to materials used in assembling finished products on a parts production line in the vehicle or manufacturing industry. In the vehicle manufacturing industry, this can include materials that constitute the product, such as engine parts, body shells, electronic control system components, and seats.

[0029] The aforementioned just-in-time (JIT) production model can be considered a lean manufacturing approach, designed to achieve high production efficiency with minimal inventory. It ensures that materials are available in the required quantities and at the required locations during the production process. The aim is to reduce waste, improve cost utilization and production efficiency, and it is suitable for high-frequency, small-batch, multi-variety production environments, such as vehicle assembly lines.

[0030] The aforementioned parts production line can refer to an automated or semi-automated manufacturing line used to produce parts required for vehicles or other equipment. Different parts production lines can have different production plans and material requirements.

[0031] The aforementioned material consumption data refers to the actual usage of various materials on the parts production line during the production process, including but not limited to consumption rate and quantity. Obtaining material consumption data helps to accurately predict future material demand, thereby improving material replenishment planning.

[0032] The aforementioned material inventory data refers to information reflecting the types and quantities of materials currently stored on the component production line. Real-time material inventory data allows for timely adjustments to transportation plans, ensuring the production line doesn't halt due to material shortages, while also preventing excessive material accumulation that leads to cost waste and storage space pressure.

[0033] In one optional embodiment, under just-in-time (JIT) production mode, material consumption and inventory data are dynamically changing. Radio frequency identification (RFID) tags and various sensors can be installed on the component production line to continuously monitor material consumption and inventory levels, capturing real-time material movement and usage information to ensure data timeliness and accuracy. A data integration platform can also be built to aggregate data from RFID tags and sensors, transforming this raw data into analyzable material consumption and inventory data. The data integration platform should possess strong data processing capabilities, enabling timely data cleaning, integration, and storage.

[0034] In the above process, by monitoring material consumption and inventory data in real time, the transportation plan generation system can accurately predict material demand, respond promptly to changes in the production line, achieve close coupling between transportation and production, and improve the overall responsiveness and accuracy of the supply chain. By reducing material inventory and increasing material turnover, it can support lean production principles, reduce waste, and improve production efficiency and resource utilization.

[0035] Step S104: Based on material consumption data and material inventory data, predict the remaining material usage time of at least one material.

[0036] The aforementioned remaining material usage time can refer to the time that the material can continue to maintain production without replenishment, calculated based on the current material inventory and material consumption data. It can be a dynamic forecast value that can be continuously adjusted according to the actual operation of the component production line.

[0037] In one alternative embodiment, data analytics techniques, such as time series analysis and machine learning algorithms, can be used to analyze collected material consumption and inventory data to identify trends and patterns in material consumption. A predictive model can be built to predict when the inventory of a specific material will drop to a predetermined lower safety stock level at a given consumption rate, thus determining the remaining material usage time. The predictive model can be updated in real time, dynamically adjusting the prediction results based on new material consumption and inventory data. When the material consumption rate changes due to factors such as order fluctuations or equipment failures, the predictive model can respond quickly and update the remaining material usage time.

[0038] In the above process, based on real-time material consumption and inventory data, the remaining usage time of at least one material is predicted. This allows for advance preparation and scheduling of transportation plans, ensuring that materials are ready before depletion and thus preventing production line downtime due to material shortages. Accurately predicting the remaining usage time of materials helps improve material inventory management strategies. By reducing excess inventory, storage and costs can be reduced, alleviating pressure on storage facilities.

[0039] Step S106: Based on the remaining material usage time, determine a material transportation plan for at least one material.

[0040] The aforementioned material transportation plan refers to the transportation scheme for materials from suppliers to the factory production line, developed to meet the just-in-time production requirements of the component production line. This plan may include transportation time, routes, selection of transportation vehicles, loading methods, and delivery frequency. A well-defined material transportation plan can quickly respond to real-time changes in the component production line's demand, ensuring that materials arrive at the right time, in the right place, and in the right quantity. The material transportation plan can also consider handling exceptional circumstances, such as traffic congestion and weather effects, as well as how to achieve information sharing and collaboration between suppliers, logistics providers, and the factory, reducing information transmission delays and improving the efficiency and controllability of the overall supply chain.

[0041] In one alternative embodiment, the urgency of transportation needs for each material can be assessed based on the remaining usage time. For example, for materials with a remaining usage time below a predetermined threshold, a transportation request can be triggered promptly; while for materials with a longer remaining usage time, a more flexible transportation time can be arranged based on the availability of logistics resources, thereby generating a material transportation plan that includes detailed information such as material type, quantity, delivery time, estimated arrival time, and transportation route.

[0042] In the above process, based on the remaining usage time of materials, a material transportation plan for at least one material is determined. This allows for advance planning of transportation tasks, avoids material shortages on the production line, and achieves precise matching between the supply chain and production plans. Precise transportation plans also prevent excessive material stockpiling, reduce inventory costs, minimize temporary inventory buildup, and improve warehouse turnover.

[0043] In this embodiment of the invention, firstly, material consumption data and material inventory data of at least one material are acquired. This at least one material is required by a parts production line employing a just-in-time (JIT) production model. Next, based on the material consumption data and material inventory data, the remaining usage time of the at least one material is predicted. Finally, based on the remaining usage time, a material transportation plan for the at least one material is determined. By monitoring the material consumption data and material inventory data of at least one material required by a parts production line employing a JIT production model, material demand can be accurately predicted, production line changes can be responded to in a timely manner, and close coupling of transportation and production can be achieved. This improves the overall responsiveness and accuracy of the supply chain, allowing transportation plans to be prepared and scheduled in advance, ensuring that materials are ready before depletion. Accurate prediction of the remaining material usage time helps improve material inventory management strategies. By reducing excess inventory, storage and costs can be reduced, alleviating pressure on storage facilities. Determining a material transportation plan for at least one material based on the remaining material usage time allows for advance planning of transportation tasks, avoiding material shortages on the production line, and achieving precise matching between the supply chain and production plans. This solves the technical problems of low accuracy and timeliness in material transportation to production lines in related technologies.

[0044] In this embodiment of the invention, determining a material transportation plan for at least one material based on the remaining material usage time includes: obtaining supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to at least one material; determining a supplier stocking plan, a logistics provider transportation plan, and a factory receiving plan for at least one material based on the remaining material usage time, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information; and determining a material transportation plan based on the supplier stocking plan, logistics provider transportation plan, and factory receiving plan.

[0045] The aforementioned supplier material production status information can refer to the supplier's real-time status information regarding component production, which may include, but is not limited to, information such as production progress, capacity utilization, inventory levels, quality control status, and production equipment status.

[0046] The aforementioned logistics provider capacity information refers to the logistics service provider's transportation capacity and resource utilization. This can include vehicle availability, driver status (such as working hours and rest needs), warehouse storage capacity, and route traffic conditions. For example, if a logistics provider is responsible for transportation between suppliers and factories, the capacity information could include how many vehicles are on standby, which drivers can depart immediately, whether the warehouse has sufficient space to store materials to be transported, and whether severe weather is affecting road conditions. Timely access to logistics provider capacity information provides a reliable basis for developing logistics transportation plans.

[0047] The aforementioned factory receiving end status information can refer to information about the factory's material receiving area, including the open status of receiving points, the allocation of receiving personnel, the usage of unloading platforms, and information on available storage spaces. For example, factory receiving end status information may include whether there are sufficient personnel to receive materials, whether unloading lanes are available, and which area of ​​the warehouse has available space to place newly arrived materials.

[0048] The aforementioned supplier inventory plan can refer to the material production and storage strategy formulated for the supply side. It can include when the supplier starts production, the production quantity, the production priority, and how to package and mark materials to ensure that they can be delivered to the designated logistics nodes on time and with good quality.

[0049] The aforementioned logistics provider transportation plan can refer to a specific implementation plan designed for the logistics provider to ensure that materials arrive at the factory within a predetermined time. It may include transportation routes, vehicle scheduling, loading sequence, estimated departure and arrival times, and response measures for abnormal events.

[0050] The aforementioned factory-side receiving plan can refer to the preparatory work plan formulated by the factory to smoothly receive materials, which may include the priority of material receiving, the allocation of receiving personnel, the reservation of unloading points, and the material inspection and warehousing process.

[0051] In one optional embodiment, the system can comprehensively consider supplier material production status information, logistics provider capacity information, and factory receiving end status information corresponding to the component production line. It can intelligently determine the supplier's preparation time window, generate a supplier preparation plan to ensure materials are ready before demand, intelligently plan transportation routes and times to generate a logistics provider transportation plan, maximizing transportation efficiency while ensuring timely delivery, and determine the optimal receiving time, location, and preparation work to generate a factory receiving plan, ensuring smooth material warehousing without affecting production progress. By comprehensively considering the supplier preparation plan, logistics provider transportation plan, and factory receiving plan, and using intelligent algorithms such as genetic algorithms, a material transportation plan is generated. This plan can specify in detail the delivery time, estimated arrival time, transportation method, and receiving preparation. After the material transportation plan is generated, it can be fed back to all links in the supply chain in real time through a standardized interface, ensuring information synchronization and execution consistency.

[0052] In the above process, by integrating multi-source information in real time, each link in the supply chain can react quickly, reducing the risk of production interruptions caused by information lag. Intelligent analysis and algorithmic decision-making can maximize the use of logistics resources and supplier production capacity, reducing transportation and production costs. Accurate material transportation planning ensures the timely supply of materials to the production line, reducing downtime caused by untimely material supply and improving production efficiency.

[0053] In this embodiment of the invention, obtaining supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to at least one material includes: establishing a first standardized interface with the supplier information system, a second standardized interface with the logistics provider information system, and a third standardized interface with the factory receiving end information system; calling the first standardized interface to obtain supplier material production status information, calling the second standardized interface to obtain logistics provider transportation capacity information, and calling the third standardized interface to obtain factory receiving end status information.

[0054] The aforementioned supplier information system can refer to an enterprise resource planning system used by the supplier to manage and control business processes, or a dedicated production management system. The supplier information system records key information such as the supplier's production activities, inventory levels, and order status. For example, it can record detailed information such as material production progress, inventory status, product quality inspection results, material costs, and delivery plans.

[0055] The aforementioned first standardized interface refers to the unified data interface established between the transportation plan generation system and the supplier information system. This first standardized interface defines the standard format and protocol for data transmission, ensuring efficient information exchange between the two systems. Through this interface, the transportation plan generation system can automatically obtain data such as material production status from the supplier information system. The interface can also specify the data field format, communication frequency, and encryption method for material production progress, ensuring the security and accuracy of information transmission.

[0056] The aforementioned logistics provider information system refers to the information system used by logistics providers to plan, execute, and track the transportation process of materials from suppliers to factories. This system can record information such as capacity allocation, transportation routes, vehicle status, driver information, and material tracking in transit.

[0057] The aforementioned second standardized interface refers to the standardized data exchange interface established between the transportation plan generation system and the logistics provider's information system. This second standardized interface can use pre-defined data formats and communication rules, allowing the transportation plan generation system to automatically retrieve capacity information from the logistics provider's system, including vehicle availability, driver work status, and warehouse throughput capacity.

[0058] The aforementioned factory receiving-end information system refers to an internal factory information system used for receiving, processing, and tracking materials. This system manages the entire process of materials from the receiving point to the production line, including material reservation, unloading arrangements, quality inspection, and warehousing registration.

[0059] The aforementioned third standardized interface refers to the standardized data interaction interface built between the transportation plan generation system and the factory receiving end information system. This allows the transportation plan generation system to obtain the real-time status of the factory receiving point from the factory receiving end information system, including the configuration of receiving personnel, the availability of the unloading area, and material reservation status. In this way, the transportation plan generation system can take the factory's receiving capacity into account when formulating transportation plans, avoiding transportation delays or production line shutdowns caused by improper internal logistics arrangements within the factory.

[0060] In one optional embodiment, a first standardized interface can be established with the supplier's information system, a second standardized interface with the logistics provider's information system, and a third standardized interface with the factory receiving end's information system. The first standardized interface can be a design specification for interfacing with the supplier's information system, including data transmission formats, data field definitions, error handling mechanisms, etc., to ensure accurate and reliable acquisition of supplier material production status information. The second standardized interface can be an interface established with the logistics provider's information system, clarifying the interaction rules for data such as transport capacity, vehicle status, and route resources, enabling real-time monitoring of logistics status. The third standardized interface can be an interface developed with the factory receiving end's information system, used to acquire real-time status information from the factory receiving end, including inventory levels, receiving readiness status, etc. The designed standardized interfaces can be integrated into the transportation plan generation system and jointly debugged with the information systems of suppliers, logistics providers, and factories to ensure efficient data connection and accurate transmission. System stress testing can also be conducted to verify the stability and efficiency of data transmission under high concurrency environments, ensuring reliable operation of the interfaces in actual production. During the transportation plan generation process, each standardized interface can be automatically invoked to obtain the required supplier material production status information, logistics provider transport capacity information, and factory receiving end status information. In case of interface anomalies, such as network latency or data format errors, a fault tolerance mechanism can be provided to automatically retry or switch to a backup interface, ensuring the continuity of information collaboration.

[0061] In the aforementioned process, the establishment of standardized interfaces broke down information silos in the supply chain, enabling real-time synchronization of information among suppliers, logistics providers, and factory receivers, thus improving supply chain transparency. Real-time information sharing allows each link in the supply chain to quickly respond to changes in the production line, collaboratively develop transportation plans, shorten decision-making cycles, and improve overall collaborative efficiency. Accurate information collaboration helps reduce excessive inventory, lower warehousing and capital costs, and simultaneously reduce waste of transportation resources and increased production costs caused by information asymmetry.

[0062] In this embodiment of the invention, obtaining material consumption status data for at least one material includes: collecting material consumption status data based on radio frequency identification equipment and / or sensors installed on the component production line.

[0063] The aforementioned RFID equipment refers to non-contact automatic identification technology that automatically identifies target objects and acquires relevant data through wireless radio frequency signals. It can consist of two parts: RFID tags and RFID readers. In vehicle parts production lines, RFID equipment can be installed in material storage areas, production line entrances and exits, and processing stations. It can be used to automatically record the entry and exit times and quantities of materials, as well as their flow on the production line. By collecting data from the RFID equipment in real time, the transportation planning system can accurately grasp the rate and status of material consumption, predict the remaining material usage time in a timely manner, and thus formulate more flexible and accurate transportation plans.

[0064] In one optional embodiment, RFID devices and / or various sensors, such as weight sensors, flow meters, and proximity sensors, can be deployed at different workstations on the component production line. RFID tags are affixed to material packaging or containers, and sensors can be installed at material consumption points or key nodes of the production line to capture material consumption data in real time. When the production line begins consuming materials, RFID readers can read the tag information on the materials, and sensors can detect changes in material consumption or status. Data analysis techniques, such as time series analysis and machine learning, can also be used to predict future material consumption trends, providing a basis for subsequent inventory warnings and transportation planning. Through integration with supply chain management systems, material requirements planning systems, etc., material consumption data can be fed back to relevant systems, supporting real-time adjustments to logistics scheduling, inventory management, and production plans. When material consumption reaches a warning threshold, a replenishment request can be automatically triggered to ensure the continuity of material supply.

[0065] In the aforementioned process, the application of RFID technology and sensors has enabled the automated collection of material consumption data, reducing human error and improving data accuracy and reliability. Real-time data feedback allows each link in the supply chain to immediately grasp the material consumption status and respond promptly, avoiding the risks caused by information lag. Based on real-time material consumption data, transportation plans and inventory strategies can be dynamically adjusted to achieve effective resource allocation and reduce inventory and transportation costs.

[0066] In this embodiment of the invention, the method further includes: transporting materials to the component production line based on the material transportation plan; in the event of a transportation failure, sending the failure status data to the supplier side through a first standardized interface, to the logistics provider side through a second standardized interface, and to the factory receiving end through a third standardized interface; and adjusting the material transportation plan based on the failure status data, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information to obtain an adjusted material transportation plan.

[0067] The aforementioned fault status data refers to specific information about anomalies or failures caused by various reasons during the logistics and transportation of parts. These situations may include, but are not limited to, transportation delays, material damage, and missing or incorrect shipments. Fault status data may include the location, time, specific cause, and type and quantity of materials affected by the fault.

[0068] The aforementioned adjusted material transportation plan refers to a transportation plan that has been revised and adjusted based on fault data and new information from all parties in the supply chain. It takes into account the supplier's production adjustment capabilities, the reallocation of logistics capacity, and the factory's receiving readiness, minimizing the negative impact of transportation failures on just-in-time production and ensuring that the production line receives the necessary materials.

[0069] In one optional embodiment, specific transportation instructions, including material type, quantity, and time window, can be executed according to the generated material transportation plan. For example, vehicles, drivers, and routes can be arranged to ensure that materials are delivered to the designated production line on time and safely. Positioning and onboard sensor technologies are used to collect real-time location information and driving status of transport vehicles. When anomalies are detected, such as vehicle deviation from the route, delays, or damage, a fault response mechanism can be triggered promptly. The obtained fault status data can be sent to the supplier through a first standardized interface, informing the supplier of any replenishment needs in advance. The logistics provider can be notified through a second standardized interface to guide emergency measures, such as dispatching backup vehicles or changing routes. Fault information can also be provided to the factory receiving end through a third standardized interface. By combining the fault data with real-time status information from the supplier, logistics provider, and factory receiving end, the logistics scheduling system uses intelligent algorithms to determine an adjusted logistics transportation plan. The adjusted material transportation plan can take into account new supplier material production status, logistics provider capacity, and changes at the factory receiving end, restoring the normal operation of the supply chain in a short period of time.

[0070] In the aforementioned process, the rapid response mechanism ensured that the supply chain could adjust quickly in the face of transportation failures, reducing the risk of production disruptions and improving the resilience and stability of the overall logistics system. The application of standardized interfaces facilitated information sharing among suppliers, logistics providers, and receiving factories, enhancing supply chain transparency and contributing to a unified decision-making perspective. Intelligent analysis based on failure data and information from all parties enabled dynamic adjustments to transportation plans, strengthening the development of supply chain management towards intelligence and data-driven approaches.

[0071] In this embodiment of the invention, the material transportation scheme includes a return transportation scheme on the logistics provider side. The method further includes: after transporting at least one material from the logistics provider side to the factory receiving end, determining the packaging equipment data of at least one material; and determining a return transportation scheme based on the packaging equipment data.

[0072] The aforementioned packaging equipment data may refer to the data of packaging equipment used in the logistics and transportation of parts, which may include, but is not limited to, equipment type, equipment size, and equipment condition.

[0073] The aforementioned return transportation plan refers to a transportation scheme in which, after the materials have been transported from the supplier to the factory, the logistics provider returns the empty packaging equipment to the supplier or other designated locations. The development of return transportation plans can be based on the analysis of packaging equipment data, aiming to improve the utilization of logistics resources, increase transportation efficiency, and reduce additional costs caused by idle or damaged packaging equipment. Through return transportation plans, idle packaging costs can be reduced, and the logistics provider can ensure maximum resource utilization during round-trip transportation, further supporting efficient logistics management under the just-in-time production model.

[0074] In one optional embodiment, after materials are transported from the logistics provider to the factory receiving end, the usage status and location information of each packaging device can be tracked in real time using RFID tags or barcodes, combined with sensor data from the production line. The collected data can be categorized and summarized to analyze which packaging devices have been unloaded and are awaiting return to the factory, as well as their current quantity and status. Based on the collected packaging device data, intelligent algorithms can be used to generate a suitable return transportation plan, comprehensively considering the logistics provider's capacity, the receiving capacity of transfer stations or suppliers, and the traffic conditions of the return route. The return transportation plan can include the type and quantity of packaging devices to be transported, the meeting point, the estimated departure and arrival times, and the priority ranking. The return transportation plan can also be communicated to relevant logistics providers through a standardized interface, allowing them to organize return transportation tasks and ensure timely recovery of packaging devices.

[0075] In the above process, by determining the return transportation plan, empty return trips can be avoided, effectively reducing return transportation costs. Real-time data collection of packaging equipment ensures timely recycling and rapid circulation of equipment, reducing equipment backlog and damage, and improving recycling rates. An accurate return transportation plan helps ensure the timely return of packaging equipment, providing conditions for the on-time supply of the next batch of materials and supporting efficient operation under the just-in-time production model.

[0076] The technical solution proposed in this application will be described below with reference to an optional embodiment. This application proposes a transportation method for just-in-time production of parts, which belongs to the field of computer software technology and relates to the field of supply chain management and logistics transportation technology in the vehicle manufacturing industry or manufacturing industry, and particularly relates to parts transportation scheduling and coordination technology for just-in-time production mode.

[0077] As the hub connecting suppliers, drivers, and receiving parties, dispatchers are responsible for the overall coordination, planning, dynamic adjustment, and anomaly handling of transportation resources across the entire supply chain. This ensures timely, cost-effective, and uninterrupted transportation, meeting the precision and flexibility requirements of parts transportation. Drivers are responsible for the physical transport of parts from the point of dispatch to the point of receipt, aiming for timely, safe, and undamaged delivery. They also cooperate with dispatchers and receiving personnel to synchronize information, exchange documents, and report anomalies. Material receiving personnel are responsible for receiving, inspecting, and registering parts at the OEM or warehouse, aiming for accurate and proper receipt. They also coordinate with production line material needs, promptly reporting any anomalies to dispatchers and suppliers to prevent defective products from entering the production process. Equipment return personnel are responsible for the recycling, cleaning, repair, and return of parts transportation equipment, such as plastic crates, metal pallets, containers, and temperature-controlled boxes. Their goals are timely empty returns, ensuring equipment is in good working order and efficient, reducing idle costs and losses, and ensuring the continuity of the transportation equipment supply chain.

[0078] Figure 2 This is a schematic diagram of an optional material transportation process according to an embodiment of the present invention, such as... Figure 2 As shown, the logistics dispatcher maintains the trip plan, the driver receives the trip plan, arrives at the supplier, scans the tracking number, and generates a waybill. Leaving the supplier, arriving at the factory, unloading, showing the receiving QR code, and confirming receipt. Loading empty equipment, filling out a return slip, showing the return QR code, confirming the return, and leaving the factory.

[0079] The process involves: plan issuance and transportation; dispatchers maintaining monthly transportation task schedules; dispatchers assigning transportation tasks to drivers; drivers receiving and executing transportation tasks; drivers arriving at the supplier's loading / unloading point and taking photos; drivers launching the mini-program, selecting the supplier, and clicking "arrive at origin"; the supplier printing the invoice, signing it, and passing it to the driver; the driver receiving the invoice and signing it for confirmation; the driver scanning and entering the order number one by one on the mini-program's transportation information entry interface and saving it; after loading, the driver taking photos and clicking "vehicle departure" in the mini-program; the driver transporting goods en route; the driver waiting in line and arriving at the Leapmotor unloading point; the driver clicking "arrive at destination" in the mini-program and taking photos. The process involves unloading and returning empty from the factory. The unloader unloads the goods; the consignee counts the goods, scans the barcodes, and signs the documents to confirm receipt; the consignee scans the factory confirmation QR code presented by the driver to confirm receipt; on-site personnel handle any issues; the returnee loads the equipment and executes the return process in the Leapmotor system; the driver enters the return order number into the mini-program transportation information and saves it for confirmation; the returnee scans the return confirmation QR code presented by the driver to confirm the return; the driver archives the documents, noting the license plate and the trip number for the day; the driver loads the equipment, takes photos, and departs, clicking "Leave Destination" in the mini-program. The process then proceeds to the factory and reconciliation: the driver delivers the returned equipment and hands the documents to the supplier; the driver verifies the documents, records them, and keeps them safe; the reconciliation officer checks the system trip count, verifies any issues, and handles them; the reconciliation officer and Leapmotor reconcile accounts and confirm the transactions; the reconciliation officer outputs a trip reconciliation record sheet for settlement.

[0080] The factory management function allows for the maintenance of factory information, including adding, modifying, deleting, importing, and exporting factory information such as factory code, factory name, factory address, latitude and longitude, and maintenance personnel information. The page can maintain factory information data normally, the interface displays data correctly, and the import / export functions work properly. The unloading port information function allows for the maintenance of unloading port information, including adding, modifying, deleting, importing, and exporting unloading port information such as unloading port code, unloading port name, unloading port type, unloading port address, latitude and longitude, main name, type, and maintenance personnel information. The supplier information function allows for the maintenance of supplier information, including adding, modifying, deleting, importing, and exporting supplier information such as supplier code, supplier name, supplier address, latitude and longitude, mileage, and maintenance personnel information. The transport vehicle information function allows for the maintenance of transport vehicle information, including adding, modifying, deleting, importing, and exporting transport vehicle information such as license plate number, transporter, vehicle type, brand, and maintenance personnel information. The transporter information function allows for the maintenance of transporter information, including adding, modifying, deleting, importing, and exporting transporter information such as: transporter name, transporter abbreviation, and maintainer information. The transfer station information function allows for the maintenance of transfer station information, including adding, modifying, deleting, importing, and exporting transfer station information such as: transfer station code, transfer station name, transfer station address, latitude and longitude, and maintainer information. The driver information function allows for the maintenance of driver information, including adding, modifying, deleting, importing, and exporting driver information such as: name, gender, phone number, transporter, transport vehicle, status, and maintainer information.

[0081] The transportation plan management function includes functions such as creating, deleting, importing, exporting, pausing, canceling, empty return entry, departure from destination, and viewing QR codes. The list displays fields including: waybill status, waybill number, carrier name, abbreviation, transportation type, transportation mode, trip number, customer standard operating date, start time, completion time, origin name, origin category, origin arrival time, origin departure time, destination name, destination category, destination arrival time, vehicle number, vehicle type, driver name, driver contact information, tracking number, remarks, consignee, receiving gate, receiving time, receiving remarks, empty return person, empty return gate, type, empty return tracking number, empty return time, unloading waiting time, empty return waiting time, empty return remarks, emergency indicator, mileage, and maintenance personnel information.

[0082] The transportation plan statistics management function includes functions such as querying, exporting, and marking anomalies. The list displays fields including: waybill status, waybill number, carrier name, abbreviation, transportation type, transportation mode, number of trips, customer standard operating date, start time, completion time, origin name, origin category, origin arrival time, origin departure time, destination name, destination category, destination arrival time, vehicle number, vehicle type, driver name, driver contact information, tracking number, remarks, consignee, receiving gate, receiving time, receiving remarks, empty returner, empty return gate, type, empty return tracking number, empty return time, unloading waiting time, empty return waiting time, empty return remarks, emergency flag, mileage, and maintenance personnel information.

[0083] According to another aspect of the present invention, a transportation plan generation device for just-in-time production of parts is also provided. This device can execute the transportation plan generation method for just-in-time production of parts described in the above embodiments. The specific implementation method and preferred application scenarios are the same as those described in the above embodiments, and will not be repeated here.

[0084] Figure 3 This is a schematic diagram of a transportation solution generation device for just-in-time production of parts, according to an embodiment of this application. Figure 3 As shown, the device includes the following: an acquisition module 302, a prediction module 304, and a determination module 306.

[0085] The acquisition module 302 is used to acquire material consumption status data and material inventory status data of at least one material, wherein the at least one material is a material required by a parts production line adopting a just-in-time production mode; the prediction model 304 is used to predict the remaining material usage time of at least one material based on the material consumption status data and the material inventory status data; and the determination module 306 is used to determine the material transportation plan of at least one material based on the remaining material usage time.

[0086] The determination module is also used to obtain supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to at least one material; based on the remaining material usage time, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information, it determines the supplier stocking plan, logistics provider transportation plan, and factory receiving plan for at least one material respectively; and based on the supplier stocking plan, logistics provider transportation plan, and factory receiving plan, it determines the material transportation plan.

[0087] The determination module is also used to establish a first standardized interface with the supplier information system, a second standardized interface with the logistics provider information system, and a third standardized interface with the factory receiving end information system; it calls the first standardized interface to obtain supplier material production status information, calls the second standardized interface to obtain logistics provider transportation capacity status information, and calls the third standardized interface to obtain factory receiving end status information.

[0088] The acquisition module is also used to collect material consumption data based on the radio frequency identification equipment and / or sensors installed on the parts production line.

[0089] The determination module is also used to transport materials to the parts production line based on the material transportation plan; in the event of a transportation failure, the failure status data is sent to the supplier side through the first standardized interface, to the logistics provider side through the second standardized interface, and to the factory receiving end through the third standardized interface; based on the failure status data, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information, the material transportation plan is adjusted to obtain the adjusted material transportation plan.

[0090] The material transportation plan includes a return transportation plan on the logistics provider side. The determination module is also used to determine the packaging equipment data of at least one material after transporting at least one material from the logistics provider side to the factory receiving end; and to determine the return transportation plan based on the packaging equipment data.

[0091] Embodiments of this application also provide an electronic device, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of the present invention during runtime.

[0092] The aforementioned memory can refer to devices inside a computer used to store data and programs, including RAM, hard disks, etc. RAM can be used to temporarily store running programs and data, while hard disks can be used to store programs and data long-term. Memory enables the computer to read and write data and execute programs. The aforementioned processor is responsible for executing instructions in computer programs and performing data processing. It can also be responsible for controlling and executing various operations, including arithmetic operations, logical operations, and data transmission.

[0093] Embodiments of this application also provide a computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0094] The aforementioned computer storage media can refer to the media used in computer memory to store certain discontinuous physical quantities. Computer storage media mainly include semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser discs, etc. Computer-readable storage media include stored programs, which can be a set of instructions that a computer can recognize and execute, running on an electronic computer to meet certain information needs.

[0095] Embodiments of this application also provide a computer program product, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0096] The aforementioned computer program products can refer to software programs that have been written, tested, and released, and can run on computers or other devices. Computer program products can include application programs, operating systems, utility software, etc., used to achieve specific functions or solve specific problems.

[0097] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program that, when executed by a processor, implements the methods in various embodiments of the present invention.

[0098] The aforementioned non-volatile computer-readable storage medium can refer to a medium for storing data. Non-volatile computer-readable storage media can retain data without loss when power is off and can be used to store long-term data, such as operating systems, applications, and user files. Non-volatile storage media can include hard disk drives, solid-state drives, optical disks, and flash memory storage devices, etc.

[0099] Embodiments of this application also provide a computer program that, when executed by a processor, implements the methods described in the various embodiments of the present invention.

[0100] The aforementioned computer program can refer to a set of instructions used to tell the computer to perform specific tasks or operations. Computer programs can be written by programmers using specific programming languages ​​and can include algorithms, data structures, logic, and control flow. Computer programs can be used for a variety of purposes, including application software, operating systems, etc.

[0101] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection can be through some interfaces; the indirect coupling or communication connection between units or modules can be electrical or other forms.

[0103] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0104] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0105] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0106] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for generating transportation plans for just-in-time production of parts, characterized in that, include: Obtain material consumption data and material inventory data for at least one material, wherein the at least one material is a material required by a parts production line that adopts a just-in-time production mode; Based on the material consumption data and the material inventory data, predict the remaining material usage time of the at least one material; Based on the remaining material usage time, a material transportation plan for the at least one material is determined.

2. The method for generating transportation plans for just-in-time production of parts according to claim 1, characterized in that, Based on the remaining material usage time, a material transportation plan for the at least one material is determined, including: Obtain supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to the at least one material; Based on the remaining material usage time, the supplier's material production status information, the logistics provider's transportation capacity information, and the factory receiving end status information, the supplier's inventory preparation plan, the logistics provider's transportation plan, and the factory receiving end plan for the at least one material are determined respectively. Based on the supplier's inventory preparation plan, the logistics provider's transportation plan, and the factory's receiving plan, the material transportation plan is determined.

3. The method for generating transportation plans for just-in-time production of parts according to claim 2, characterized in that, Obtaining supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information corresponding to the at least one material, including: Establish a first standardized interface with the supplier's information system, a second standardized interface with the logistics provider's information system, and a third standardized interface with the factory receiving end's information system; The system calls the first standardized interface to obtain the supplier's material production status information, calls the second standardized interface to obtain the logistics provider's transportation capacity status information, and calls the third standardized interface to obtain the factory receiving end status information.

4. The method for generating transportation plans for just-in-time production of parts according to claim 1, characterized in that, Obtain material consumption data for at least one material, including: The material consumption data is collected based on the radio frequency identification equipment and / or sensors installed on the component production line.

5. The method for generating transportation plans for just-in-time production of parts according to any one of claims 1 to 4, characterized in that, The method further includes: Based on the material transportation plan, materials are transported to the component production line; In the event of a transportation failure, the failure status data will be sent to the supplier through the first standardized interface, to the logistics provider through the second standardized interface, and to the factory receiving end through the third standardized interface. Based on the fault status data, supplier material production status information, logistics provider transportation capacity information, and factory receiving end status information, the material transportation plan is adjusted to obtain the adjusted material transportation plan.

6. The method for generating transportation plans for just-in-time production of parts according to any one of claims 1 to 4, characterized in that, The material transportation plan includes a return transportation plan on the logistics provider's side, and the method further includes: After transporting the at least one material from the logistics provider to the factory receiving end, the packaging equipment data of the at least one material is determined; Based on the packaging equipment data, the return transportation plan is determined.

7. A transportation solution generation device for just-in-time production of parts, characterized in that, include: The acquisition module is used to acquire material consumption status data and material inventory status data of at least one material, wherein the at least one material is a material required by a parts production line adopting a just-in-time production mode. A predictive model is used to predict the remaining material usage time of at least one material based on the material consumption data and the material inventory data. The determining module is used to determine a material transportation plan for at least one material based on the remaining material usage time.

8. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program executes the transportation scheme generation method for just-in-time production of parts as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to execute the transportation scheme generation method for just-in-time production of parts as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The system includes a computer program that, when executed by a processor, implements the transportation scheme generation method for just-in-time production of parts according to any one of claims 1 to 6.

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