Logistics operation strategy adjusting method and device, storage medium and processor

Abstract

The invention discloses a logistics operation strategy adjusting method and device, a storage medium and a processor. The method comprises the steps that an initial operation strategy of logistics information is acquired, and the initial operation strategy is used for indicating operation rules of the logistics information; production material information associated with the logistics information is obtained, and the production material information is used for indicating at least one of the following information: attribute information of materials in the logistics information, human resource information associated with the materials in the material manufacturing process, and material resource information associated with the materials; target cost information of the logistics information is determined based on the production material information and the initial operation strategy, and the target cost information is used for indicating the cost required by the logistics information in the operation process; and adjusting the initial operation strategy based on the target cost information to obtain a target operation strategy of the logistics information. The technical problem of low logistics management efficiency is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to a method, device, storage medium and processor for adjusting a logistics operation strategy. Background Art

[0002] At present, with the gradual deepening of intelligent manufacturing and industry, the logistics solutions of automobile factories are gradually changing from the traditional experience-driven mode to the data-driven and intelligent measurement mode. However, the logistics management system and industrial engineering methods currently used in the automobile manufacturing industry still have many limitations, especially in the measurement of various links within the factory. Traditional methods cannot meet the high requirements of modern intelligent manufacturing. Therefore, improving logistics management strategies is the top priority to ensure the efficiency of automobile factory logistics.

[0003] In the relevant technologies, the traditional automobile factory logistics system mainly relies on static logistics planning and linear process design. These systems usually make decisions based on manual experience and historical data. Although these technical solutions have improved logistics efficiency to a certain extent, they are powerless in the face of complex manufacturing environments and changing market demands due to the lack of real-time data analysis and intelligent measurement capabilities. In terms of internal factory measurement, traditional industrial engineering methods mainly focus on the efficiency measurement of production costs, staffing, and process equipment. These methods are usually calculated through pre-set models and rules, and adjusted according to historical data and experience. However, with the transformation of the automobile manufacturing industry towards intelligence and automation, a large number of intelligent equipment and advanced automation equipment have been introduced into the factory, and traditional measurement methods are difficult to effectively cover the performance evaluation of these new equipment. Therefore, there is a technical problem of low logistics management efficiency.

[0004] With respect to the above-mentioned technical problem of low efficiency in logistics management, no effective solution has been proposed so far. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, storage medium and processor for adjusting a logistics operation strategy, so as to at least solve the technical problem of low efficiency of logistics management.

[0006] According to one aspect of an embodiment of the present invention, a method for adjusting a logistics operation strategy is provided. The method may include: obtaining an initial operation strategy for logistics information, wherein the initial operation strategy is used to indicate the operation rules of the logistics information; obtaining production material information associated with the logistics information, wherein the production material information is used to indicate at least one of the following information: attribute information of the material in the logistics information, human resource information related to the material in the material manufacturing process, and material resource information related to the material; based on the production material information and the initial operation strategy, determining the target cost information of the logistics information, wherein the target cost information is used to indicate the cost required for the logistics information during the operation process; based on the target cost information, adjusting the initial operation strategy to obtain the target operation strategy of the logistics information.

[0007] Optionally, the physical information includes multiple logistics links, and based on the production material information and the initial operation strategy, the target cost information of the logistics information is determined, including: based on the production material information and the initial operation strategy, the initial cost information of each logistics link in the logistics information is determined, wherein the initial cost information is used to indicate the cost required for the material in production; based on the initial cost information, the target cost information of the logistics information is determined.

[0008] Optionally, the method for adjusting the logistics operation strategy also includes: respectively obtaining initial operation strategies of multiple logistics information to obtain multiple initial operation strategies; respectively determining target cost information corresponding to the multiple initial operation strategies to obtain multiple target cost information; based on the multiple target cost information, adjusting the initial operation strategy to obtain the target operation strategy of the logistics information.

[0009] Optionally, based on multiple target cost information, the initial operation strategy is adjusted to obtain a target operation strategy for the logistics information, including: comparing multiple target cost information to obtain a comparison result, wherein the comparison result is used to indicate the cost difference between the multiple target cost information; based on the comparison result, the initial operation strategy is adjusted to obtain the target operation strategy.

[0010] Optionally, based on the comparison results, the initial operation strategy is adjusted to obtain a target operation strategy for the logistics information, including: determining the minimum target cost information among multiple target cost information; based on the comparison results, adjusting the initial operation strategy corresponding to the minimum target cost information to obtain the target operation strategy.

[0011] Optionally, the method for adjusting the logistics operation strategy also includes: storing production material information and outputting a target operation strategy.

[0012] According to another aspect of an embodiment of the present invention, a device for adjusting a logistics operation strategy is also provided. The device may include: a first acquisition unit, used to acquire an initial operation strategy for logistics information, wherein the initial operation strategy is used to indicate the operation rules of logistics information; a second acquisition unit, used to acquire production material information associated with logistics information, wherein the production material information is used to indicate at least one of the following information: attribute information of materials in logistics information, human resource information related to materials in the material manufacturing process, and material resource information related to materials; a determination unit, used to determine target cost information of logistics information based on production material information and the initial operation strategy, wherein the target cost information is used to indicate the cost required for logistics information during operation; an adjustment unit, used to adjust the initial operation strategy based on the target cost information to obtain the target operation strategy of logistics information.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method for adjusting the logistics operation strategy in an embodiment of the present invention.

[0014] According to another aspect of an embodiment of the present invention, a processor is provided, which is used to run a program, wherein the method for adjusting the logistics operation strategy in the embodiment of the present invention is executed when the program is run.

[0015] According to another aspect of an embodiment of the present invention, a vehicle is further provided, and the vehicle is used to execute the method for adjusting the logistics operation strategy of an embodiment of the present invention.

[0016] In an embodiment of the present invention, an initial operation strategy of logistics information is obtained, wherein the initial operation strategy is used to indicate the operation rules of logistics information; production material information associated with logistics information is obtained, wherein the production material information is used to indicate at least one of the following information: attribute information of materials in logistics information, human resource information related to materials in the material manufacturing process, and material resource information related to materials; based on the production material information and the initial operation strategy, the target cost information of logistics information is determined, wherein the target cost information is used to indicate the cost required for logistics information during operation; based on the target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of logistics information. That is, in an embodiment of the present invention, the initial operation strategy of logistics information is optimized and adjusted according to the production material information associated with logistics information to obtain the target operation strategy. Since the present invention compares and adjusts multiple initial operation strategies to obtain the final target operation strategy, multiple operation conditions are fully considered, thereby solving the technical problem of low efficiency of logistics management and achieving the technical effect of fully controlling vehicle driving. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0018] Figure 1 is a flow chart of a method for adjusting a logistics operation strategy according to an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram of an automobile factory logistics solution system based on industrial engineering intelligent calculation according to an embodiment of the present invention;

[0020] Figure 3 is a schematic diagram of an intelligent logistics measurement module according to an embodiment of the present invention;

[0021] Figure 4 is a schematic diagram of a full-process project management module according to an embodiment of the present invention;

[0022] Figure 5 is a schematic diagram of a cost calculation and solution optimization module according to an embodiment of the present invention;

[0023] Figure 6 It is a schematic diagram of a device for adjusting a logistics operation strategy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, functional component or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, functional components or devices.

[0026] According to an embodiment of the present invention, an embodiment of a method for adjusting a logistics operation strategy 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 a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Figure 1 is a flow chart of a method for adjusting a logistics operation strategy according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0028] Step S101, obtaining the initial operation strategy of logistics information.

[0029] In the technical solution provided in the above step S101 of the present invention, the initial operation strategy is used to indicate the operation rules of the logistics information, wherein the operation strategy can also be called a logistics process.

[0030] In this embodiment, the initial operation strategy of the logistics information is obtained, for example, by obtaining the logistics process preset by the user from a database. This is only an illustrative example and does not limit the specific method of obtaining the initial operation strategy of the logistics information.

[0031] For example, users can combine elements such as areas, manual links, and intelligent links within the factory into a complete logistics process by dragging and dropping, thereby obtaining the user's pre-set logistics process from the database.

[0032] Step S102, obtaining production material information associated with logistics information.

[0033] In the technical solution provided in the above step S102 of the present invention, the production material information is used to indicate at least one of the following information: the attribute information of the material in the logistics information, the human resource information related to the material in the material manufacturing process, and the material resource information related to the material. Among them, the production material information includes the bill of materials (BOM) and related process parameters.

[0034] In this embodiment, after the initial operation strategy of the logistics information is obtained in step S101, the production material information associated with the logistics information is obtained. For example, the BOM and related process parameters corresponding to the material pre-entered by the user are obtained. This is only an illustrative example and does not limit the specific content of the production material information.

[0035] Optionally, by obtaining production material information associated with logistics information, we can better understand the operation of automobile factory logistics, which helps to optimize logistics management and improve overall operational efficiency.

[0036] Step S103, determining the target cost information of the logistics information based on the production material information and the initial operation strategy.

[0037] In the technical solution provided in the above step S103 of the present invention, the target cost information is used to indicate the cost required for the logistics information during the operation process.

[0038] In this embodiment, after obtaining the production material information associated with the logistics information in step S102, the target cost information of the logistics information is determined according to the production material information and the initial operation strategy, wherein the target cost information includes the cost of each logistics management link.

[0039] Optionally, the initial cost information of each logistics link in the logistics information is determined based on the production material information and the initial operation strategy, wherein the initial cost information may include: the working hours, staffing, labor load and use of intelligent equipment in each logistics management link. That is, the initial cost information is used to indicate the cost required for the material in production.

[0040] Optionally, after the initial cost information is determined, the target cost information of the logistics information is determined based on the initial cost information.

[0041] For example, the cost calculation module performs detailed cost accounting on the initial operation strategy and production material information input by the user to obtain the target cost information.

[0042] Step S104, based on the target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information.

[0043] In the technical solution provided in the above step S104 of the present invention, after the target cost information of the logistics information is determined in step S103, the initial operation strategy is adjusted according to the target cost information to obtain the target operation strategy of the logistics information.

[0044] Optionally, a variety of target cost information is compared, and the initial operation strategy is adjusted according to the comparison result to obtain a target operation strategy for the logistics information.

[0045] For example, initial operation strategies for multiple logistics information are obtained; target cost information corresponding to the multiple initial operation strategies is determined, and the multiple target cost information is compared to obtain a comparison result, wherein the comparison result is used to indicate the cost difference among the multiple target cost information, and the minimum target cost information among the multiple target cost information is determined; based on the comparison result, the initial operation strategy corresponding to the minimum target cost information is adjusted to obtain the target operation strategy.

[0046] Optionally, by comparing multiple initial operation strategies, users can flexibly adjust logistics planning under various conditions to minimize operating costs while ensuring the efficiency and feasibility of each solution. This ability to compare and optimize multiple solutions significantly improves the competitiveness of enterprises in the market.

[0047] It should be noted that the above embodiments can be executed by means of a logistics operation strategy adjustment device.

[0048] In the above steps S101 to S104 of the present invention, the initial operation strategy of the logistics information is obtained, wherein the initial operation strategy is used to indicate the operation rules of the logistics information; the production material information associated with the logistics information is obtained, wherein the production material information is used to indicate at least one of the following information: the attribute information of the material in the logistics information, the human resource information related to the material in the material manufacturing process, and the material resource information related to the material; based on the production material information and the initial operation strategy, the target cost information of the logistics information is determined, wherein the target cost information is used to indicate the cost required for the logistics information during the operation process; based on the target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information. That is to say, in the embodiment of the present invention, the initial operation strategy of the logistics information is optimized and adjusted according to the production material information associated with the logistics information to obtain the target operation strategy. Since the present invention compares and adjusts multiple initial operation strategies to obtain the final target operation strategy, multiple operation conditions are fully considered, thereby solving the technical problem of low efficiency of logistics management and achieving the technical effect of fully controlling vehicle driving.

[0049] The above method of this embodiment is further introduced below.

[0050] As an optional implementation method, the physical information includes multiple logistics links, and the target cost information of the logistics information is determined based on the production material information and the initial operation strategy, including: based on the production material information and the initial operation strategy, determining the initial cost information of each logistics link in the logistics information, wherein the initial cost information is used to indicate the cost required for the material in production; based on the initial cost information, determining the target cost information of the logistics information.

[0051] In this embodiment, the initial cost information of each logistics link in the logistics information is determined based on the production material information and the initial operation strategy, and then the target cost information of the logistics information is determined based on the initial cost information.

[0052] For example, the intelligent logistics calculation module comprehensively analyzes and optimizes the logistics links within the factory by combining the standard time unit (TMU) in industrial engineering and the intelligent calculation algorithm. Through the bill of materials (BOM) imported by the user, the system automatically analyzes and calculates the working hours, staffing, labor load and use of intelligent equipment in each link to obtain the initial cost information. The cost calculation module uses the built-in logical algorithm and knowledge base to accurately calculate the cost of each logistics link based on the initial cost information to obtain the target cost information.

[0053] As an optional implementation method, the method for adjusting the logistics operation strategy also includes: respectively obtaining initial operation strategies of multiple logistics information to obtain multiple initial operation strategies; respectively determining target cost information corresponding to the multiple initial operation strategies to obtain multiple target cost information; based on the multiple target cost information, adjusting the initial operation strategy to obtain the target operation strategy of the logistics information.

[0054] In this embodiment, initial operation strategies of multiple logistics information are obtained; target cost information corresponding to the multiple initial operation strategies is determined; and the initial operation strategies are adjusted according to the multiple target cost information to obtain the target operation strategies of the logistics information.

[0055] Optionally, the present invention can determine the target cost information corresponding to each initial operation strategy based on multiple initial operation strategies, and then adjust the initial operation strategy according to the target cost information to obtain the target operation strategy. That is, the present invention can compare multiple different process plans designed by the user in the system, and automatically identify the optimal plan by comparing the differences in cost, personnel, equipment, etc. among the plans.

[0056] As an optional implementation method, based on multiple target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information, including: comparing the multiple target cost information to obtain a comparison result, wherein the comparison result is used to indicate the cost difference between the multiple target cost information; based on the comparison result, the initial operation strategy is adjusted to obtain the target operation strategy.

[0057] In this embodiment, multiple target cost information is compared to obtain a comparison result, and the initial operation strategy is adjusted according to the comparison result to obtain a target operation strategy for logistics information. The comparison result may at least include the difference in personnel, equipment and other costs of each initial operation strategy.

[0058] Optionally, by comparing multiple initial operation strategies, the logistics of automobile factories can achieve the optimal allocation of resources such as personnel, equipment, and materials, greatly improving production efficiency and reducing resource waste. At the same time, the dynamic adjustment function ensures the flexibility and adaptability of the production process, enabling factories to quickly respond to changes in market demand.

[0059] As an optional implementation method, based on the comparison results, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information, including: determining the minimum target cost information among multiple target cost information; based on the comparison results, the initial operation strategy corresponding to the minimum target cost information is adjusted to obtain the target operation strategy.

[0060] In this embodiment, the minimum target cost information among multiple target cost information is determined, and according to the comparison result, the initial operation strategy corresponding to the minimum target cost information is adjusted to obtain the target operation strategy.

[0061] Optionally, by comparing multiple target cost information, the minimum target cost information is determined so that the cost corresponding to the target operation strategy is minimized, thereby maximizing the reduction of operating costs.

[0062] As an optional implementation mode, the method for adjusting the logistics operation strategy also includes: storing production material information and outputting the target operation strategy.

[0063] In this embodiment, the present invention can also store production material information and output a target operation strategy.

[0064] For example, the data management module is responsible for processing and storing data such as production material information input by the user, while the output display module displays the target operation strategy to the user in the form of charts or reports.

[0065] Optionally, by storing production material information, the materials and resources required in the production process can be better managed, thereby improving production efficiency.

[0066] It should be noted that the above embodiments can be executed by means of a logistics operation strategy adjustment device.

[0067] In this embodiment, the initial operation strategy of the logistics information is obtained, wherein the initial operation strategy is used to indicate the operation rules of the logistics information; the production material information associated with the logistics information is obtained, wherein the production material information is used to indicate at least one of the following information: the attribute information of the material in the logistics information, the human resource information related to the material in the material manufacturing process, and the material resource information related to the material; based on the production material information and the initial operation strategy, the target cost information of the logistics information is determined, wherein the target cost information is used to indicate the cost required for the logistics information during the operation process; based on the target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information. That is to say, in the embodiment of the present invention, the initial operation strategy of the logistics information is optimized and adjusted according to the production material information associated with the logistics information to obtain the target operation strategy. Since the present invention compares and adjusts multiple initial operation strategies to obtain the final target operation strategy, it comprehensively considers multiple operation conditions, thereby solving the technical problem of low efficiency of logistics management and achieving the technical effect of comprehensively controlling vehicle driving.

[0068] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0069] At present, with the gradual deepening of intelligent manufacturing and industry, the logistics solutions of automobile factories are gradually changing from the traditional experience-driven mode to the data-driven and intelligent measurement mode. However, the logistics management system and industrial engineering methods currently used in the automobile manufacturing industry still have many limitations, especially in the measurement of various links within the factory. Traditional methods cannot meet the high requirements of modern intelligent manufacturing. Therefore, improving logistics management strategies is the top priority to ensure the efficiency of automobile factory logistics.

[0070] In the relevant technologies, the traditional automobile factory logistics system mainly relies on static logistics planning and linear process design. These systems usually make decisions based on manual experience and historical data. Although these technical solutions have improved logistics efficiency to a certain extent, they are powerless in the face of complex manufacturing environments and changing market demands due to the lack of real-time data analysis and intelligent measurement capabilities. In terms of internal factory measurement, traditional industrial engineering methods mainly focus on the efficiency measurement of production costs, staffing, and process equipment. These methods are usually calculated through pre-set models and rules, and adjusted according to historical data and experience. However, with the transformation of the automobile manufacturing industry towards intelligence and automation, a large number of intelligent equipment and advanced automation equipment have been introduced into the factory, and traditional measurement methods are difficult to effectively cover the performance evaluation of these new equipment. Therefore, there is a technical problem of low logistics management efficiency.

[0071] However, an embodiment of the present invention proposes a solution for automobile factory logistics based on intelligent measurement of industrial engineering. Through technologies such as intelligent algorithms, the logistics process pre-assembled by the user is adjusted and optimized. By obtaining the logistics list, the cost information is calculated, and the cost information corresponding to multiple logistics processes is compared. By analyzing the comparison results, each element in the plan is automatically adjusted to achieve the best cost-effectiveness, thereby solving the technical problem of low logistics management efficiency and achieving the technical effect of improving logistics management efficiency.

[0072] The embodiments of the present invention are further described below.

[0073] Figure 2 is a schematic diagram of an automobile factory logistics solution system based on industrial engineering intelligent calculation according to an embodiment of the present invention, such as Figure 2 As shown, the automobile factory logistics solution system 200 based on industrial engineering intelligent calculation includes: an intelligent logistics calculation module 201, a full-process project management module 202 and a cost calculation and solution optimization module 203.

[0074] In this embodiment, the intelligent logistics measurement module 201 is the core part of the system. By combining the standard time unit (TMU) in industrial engineering and the intelligent measurement algorithm, the logistics links within the factory are comprehensively analyzed and optimized.

[0075] Optionally, the user first imports the BOM (Bill of Materials), and the system automatically analyzes and calculates the working hours, staffing, labor load, and usage of intelligent equipment in each link. The intelligent logistics measurement module 201 also combines big data technology and can dynamically adjust and optimize based on real-time data.

[0076] Optionally, the full-process project management module 202 covers the entire process from demand collection, BOM import, process design, resource estimation, cost calculation to result presentation.

[0077] Optionally, users can combine elements such as areas, manual links and intelligent links in the factory into a complete logistics process by dragging and dropping, and adjust and optimize them. The built-in standard knowledge base of the automobile factory logistics solution system 200 based on industrial engineering intelligent measurement provides rich templates and references to help users quickly complete project design.

[0078] Optionally, the cost calculation and solution optimization module 203 accurately calculates the cost of each logistics link through a built-in logical algorithm and knowledge base, and supports comparison and optimization of multiple solutions.

[0079] Optionally, users can design multiple different process plans in the system, and compare the differences in cost, personnel, equipment, etc. between the plans to automatically identify the optimal plan.

[0080] Figure 3 is a schematic diagram of an intelligent logistics calculation module according to an embodiment of the present invention, such as Figure 3 As shown, the intelligent logistics measurement module 201 includes: an input unit 2011, a calculation unit 2012, an optimization unit 2013 and an output unit 2014.

[0081] In this embodiment, the input unit 2011 is responsible for receiving the BOM and related process parameters, the calculation unit 2012 performs intelligent calculations based on these input data, the optimization unit 2013 performs global optimization on the calculation results through algorithms, and finally the output unit 2014 displays the optimized results to the user for further decision-making.

[0082] Optionally, through the intelligent logistics calculation module 201, the factory can achieve the optimal configuration of resources such as personnel, equipment, and materials, greatly improving production efficiency and reducing resource waste. At the same time, the dynamic adjustment function ensures the flexibility and adaptability of the production process, enabling the factory to quickly respond to changes in market demand.

[0083] Optionally, the present invention uses a unified data management and integration platform to comprehensively integrate and analyze the data of various business systems in the factory. Through this platform, the system can break the traditional "data island" and provide users with decision support based on real-time data. This data-driven decision-making method not only improves the accuracy of logistics planning, but also supports rapid response to market changes, ensuring the flexibility and adaptability of the logistics system.

[0084] Figure 4 is a schematic diagram of a full-process project management module according to an embodiment of the present invention, such as Figure 4 As shown, the full-process project management module 202 includes: a process design module 2021, a data management module 2022, an optimization module 2023 and an output display module 2024.

[0085] In this embodiment, the process design module 2021 supports users in designing logistics processes through a graphical interface, the data management module 2022 is responsible for processing and storing data input by users, the optimization module 2023 performs global optimization of costs, resources and efficiency after the process design is completed, and the output display module 2024 displays the optimization results to users in the form of charts or reports.

[0086] Optionally, through the full-process project management module, users can significantly reduce the complexity of logistics planning and optimization and improve work efficiency. The platform's standardized and modular design also supports rapid reuse and iterative optimization, further improving the quality and accuracy of solution design.

[0087] Optionally, the full-process project management module, that is, the intelligent project management platform, covers the entire process from demand collection, BOM import, process design, resource estimation, cost calculation to result presentation. The innovation of this platform lies in its high degree of integration and ease of use. Users can quickly design logistics processes by dragging and dropping, and dynamically adjust them according to real-time data. This platform not only significantly simplifies the complexity of project management, but also ensures seamless connection of each link and improves overall operational efficiency.

[0088] Figure 5 is a schematic diagram of a cost calculation and solution optimization module according to an embodiment of the present invention, such as Figure 5 As shown, the cost calculation and solution optimization module 203 includes: a cost calculation module 2031 , a solution comparison module 2032 and an optimization module 2033 .

[0089] In this embodiment, the cost calculation module 2031 performs detailed cost accounting based on the parameters input by the user, the solution comparison module 2032 allows the user to design and compare different elements of multiple solutions, and the optimization module 2033 automatically adjusts each element in the solution by analyzing the comparison results to achieve the best cost-effectiveness.

[0090] Optionally, this function enables users to flexibly adjust logistics planning under various conditions to minimize operating costs while ensuring the efficiency and feasibility of each solution. This ability to compare and optimize multiple solutions significantly improves the competitiveness of enterprises in the market.

[0091] Optionally, the cost calculation and solution optimization module has built-in powerful logical algorithms and knowledge bases, which can accurately calculate the cost of each logistics link and support the comparison and optimization of multiple solutions. Users can design multiple different process solutions in the system, and compare the differences in cost, personnel, equipment, etc., and automatically identify the optimal solution. This function enables users to flexibly adjust logistics planning under various conditions to minimize operating costs.

[0092] In this embodiment, the present invention adopts a modular architecture in system design to support the access and processing of multiple terminal data. The system can process structured, semi-structured and unstructured data, covering various data sources within the factory. Through modular design, the system has a high degree of scalability and can be flexibly adjusted and expanded according to the different needs of the factory, thereby adapting to production environments of different sizes and types. Table 1 (a) to Table 1 (d) are schematic tables of the function list of the present invention. As shown in the table below, the function list includes basic management and program planning.

[0093] Table 1(a) Schematic diagram of function list

[0094]

[0095] Table 1(b) Schematic table of function list

[0096]

[0097] Table 1(c) Function list

[0098]

[0099] Table 1(d) Schematic diagram of function list

[0100]

[0101] In this embodiment, the logistics process pre-assembled by the user is adjusted and optimized through technologies such as intelligent algorithms. By obtaining the logistics list, calculating the cost information, and comparing the cost information corresponding to multiple logistics processes, each element in the plan is automatically adjusted by analyzing the comparison results to achieve the best cost-effectiveness, thereby solving the technical problem of low logistics management efficiency and achieving the technical effect of improving logistics management efficiency.

[0102] According to an embodiment of the present invention, a device for adjusting a logistics operation strategy is also provided. It should be noted that the device for adjusting a logistics operation strategy can be used to execute the method for adjusting a logistics operation strategy in the embodiment.

[0103] Figure 6 Schematic diagram of a device for adjusting a logistics operation strategy according to an embodiment of the present invention. Figure 6 As shown, the logistics operation strategy adjustment device 600 may include: a first acquisition unit 601, a second acquisition unit 602, a determination unit 603 and an adjustment unit 604.

[0104] The first acquisition unit 601 is used to acquire an initial operation strategy of the logistics information, wherein the initial operation strategy is used to indicate an operation rule of the logistics information.

[0105] The second acquisition unit 602 is used to acquire production material information associated with logistics information, wherein the production material information is used to indicate at least one of the following information: attribute information of the material in the logistics information, human resource information related to the material in the material manufacturing process, and material resource information related to the material.

[0106] The determination unit 603 is used to determine the target cost information of the logistics information based on the production material information and the initial operation strategy, wherein the target cost information is used to indicate the cost required for the logistics information during the operation process.

[0107] The adjustment unit 604 is used to adjust the initial operation strategy based on the target cost information to obtain the target operation strategy of the logistics information.

[0108] Optionally, the determination unit 603 may include: a first determination module, used to determine the initial cost information in each logistics link in the logistics information based on the production material information and the initial operation strategy, wherein the initial cost information is used to indicate the cost required for the material in production; a second determination module, used to determine the target cost information of the logistics information based on the initial cost information.

[0109] Optionally, the logistics operation strategy adjustment device 600 may further include: a third acquisition unit, used to respectively acquire the initial operation strategies of multiple logistics information to obtain multiple initial operation strategies; a first determination unit, used to respectively determine the target cost information corresponding to the multiple initial operation strategies to obtain multiple target cost information; a first adjustment unit, used to adjust the initial operation strategy based on the multiple target cost information to obtain the target operation strategy for the logistics information.

[0110] Optionally, the first adjustment unit may include: a comparison module, used to compare multiple target cost information to obtain a comparison result, wherein the comparison result is used to indicate the cost difference between the multiple target cost information; an adjustment module, used to adjust the initial operation strategy based on the comparison result to obtain the target operation strategy.

[0111] Optionally, the adjustment module may include: a determination submodule for determining the minimum target cost information among multiple target cost information; an adjustment submodule for adjusting the initial operation strategy corresponding to the minimum target cost information based on the comparison result to obtain the target operation strategy.

[0112] Optionally, the logistics operation strategy adjustment device 600 may further include: a storage unit for storing production material information and outputting a target operation strategy.

[0113] In this embodiment, the initial operation strategy of the logistics information is obtained, wherein the initial operation strategy is used to indicate the operation rules of the logistics information; the production material information associated with the logistics information is obtained, wherein the production material information is used to indicate at least one of the following information: the attribute information of the material in the logistics information, the human resource information related to the material in the material manufacturing process, and the material resource information related to the material; based on the production material information and the initial operation strategy, the target cost information of the logistics information is determined, wherein the target cost information is used to indicate the cost required for the logistics information during the operation process; based on the target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information. That is to say, in the embodiment of the present invention, the initial operation strategy of the logistics information is optimized and adjusted according to the production material information associated with the logistics information to obtain the target operation strategy. Since the present invention compares and adjusts multiple initial operation strategies to obtain the final target operation strategy, it comprehensively considers multiple operation conditions, thereby solving the technical problem of low efficiency of logistics management and achieving the technical effect of comprehensively controlling vehicle driving.

[0114] According to an embodiment of the present invention, a computer-readable storage medium is further provided, the storage medium comprising a stored program, wherein the program executes the method for adjusting the logistics operation strategy in the embodiment.

[0115] According to an embodiment of the present invention, a processor is further provided, and the processor is used to run a program, wherein the method for adjusting the logistics operation strategy in the embodiment is executed when the program is running.

[0116] According to an embodiment of the present invention, a vehicle is also provided, and the vehicle is used to execute the method for adjusting the logistics operation strategy in the embodiment.

[0117] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0118] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic, for example, the division of units can be a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0120] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0121] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0122] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent functional component, 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 functional component, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program codes.

[0123] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for adjusting a logistics operation strategy, characterized in that: include: Acquire an initial operation strategy of the logistics information, wherein the initial operation strategy is used to indicate an operation rule of the logistics information; Acquire production material information associated with the logistics information, wherein the production material information is used to indicate at least one of the following information: attribute information of the material in the logistics information, human resource information related to the material in the material manufacturing process, and material resource information related to the material; Based on the production material information and the initial operation strategy, determine the target cost information of the logistics information, wherein the target cost information is used to indicate the cost required for the logistics information during the operation process; Based on the target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information.

2. The method according to claim 1, characterized in that The physical information includes multiple logistics links, and the target cost information of the logistics information is determined based on the production material information and the initial operation strategy, including: Based on the production material information and the initial operation strategy, determine the initial cost information of each logistics link in the logistics information, wherein the initial cost information is used to indicate the cost required for the material in production; Based on the initial cost information, the target cost information of the logistics information is determined.

3. The method according to claim 1, characterized in that The method further comprises: Respectively acquiring the initial operation strategies of the plurality of logistics information to obtain a plurality of the initial operation strategies; Respectively determining the target cost information corresponding to the plurality of initial operation strategies to obtain a plurality of target cost information; Based on the multiple target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information.

4. The method according to claim 3, characterized in that Based on the plurality of target cost information, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information, including: Comparing the plurality of target cost information to obtain a comparison result, wherein the comparison result is used to indicate the cost difference between the plurality of target cost information; Based on the comparison result, the initial operation strategy is adjusted to obtain the target operation strategy.

5. The method according to claim 4, characterized in that Based on the comparison result, the initial operation strategy is adjusted to obtain the target operation strategy of the logistics information, including: Determining minimum target cost information among the plurality of target cost information; Based on the comparison result, the initial operation strategy corresponding to the minimum target cost information is adjusted to obtain the target operation strategy.

6. The method according to claim 3, characterized in that The method further comprises: The production material information is stored, and the target operation strategy is output.

7. A device for adjusting logistics operation strategy, characterized in that: include: A first acquisition unit is used to acquire an initial operation strategy of the logistics information, wherein the initial operation strategy is used to indicate an operation rule of the logistics information; A second acquisition unit is used to acquire production material information associated with the logistics information, wherein the production material information is used to indicate at least one of the following information: attribute information of the material in the logistics information, human resource information related to the material in the material manufacturing process, and material resource information related to the material; A determination unit, configured to determine target cost information of the logistics information based on the production material information and the initial operation strategy, wherein the target cost information is used to indicate the cost required for the logistics information during operation; An adjustment unit is used to adjust the initial operation strategy based on the target cost information to obtain a target operation strategy for the logistics information.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

9. A processor, characterized in that: The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 6 when running.

10. A computer program product, characterized in that The computer program product comprises computer instructions, which implement the method according to any one of claims 1 to 6 when executed by a processor.

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