Automobile wire harness full life cycle cost optimization method, system, device and medium

Abstract

The present application mainly relates to the technical field of automobile engineering. The present application discloses a kind of automobile wire harness full life cycle cost optimization method, the method includes: the multi-source data of integration component selection, design, assembly and logistics stage is generated cost base data table, breaks the data island of each link;Identify the optimizable item of each cost optimization dimension, generate cost reduction proposal scheme;Filter target cost reduction proposal scheme and combine, calculate the cost saving amount of each combination scheme, select the optimal cost reduction scheme;The optimal scheme is output to the execution end, and receive execution result data for iterative optimization.This scheme realizes the full life cycle cost optimization through the combination optimization and closed-loop feedback of global perspective, ensures the synergy of each link cost measure, avoids the overall cost rise caused by local optimization, and finally realizes the full life cycle cost optimization.

Description

Technical Field

[0001] This invention relates to the field of automotive engineering technology, specifically to a method, system, device, and medium for optimizing the life-cycle cost of automotive wiring harnesses. Background Technology

[0002] As the nerve center of the vehicle's electrical system, automotive wiring harnesses are responsible for connecting various electronic control units, sensors, and actuators, and their cost accounts for approximately 15% to 20% of the total cost of the vehicle wiring harness system. With the continuous improvement of vehicle electrification and intelligence, wiring harness systems are becoming increasingly complex, and the pressure to control costs continues to increase.

[0003] Currently, automotive wiring harness cost management faces the following main problems: First, cost reduction efforts are often concentrated on single stages, such as focusing only on raw material procurement prices or manufacturing process optimization, lacking a systematic perspective across the entire lifecycle; second, cost data from component selection, design verification, production, logistics, and assembly are fragmented, making it difficult to form a unified analytical model; third, existing cost reduction solutions rely heavily on manual experience and lack data-driven quantitative analysis tools, resulting in insufficient scientific rigor and accuracy in cost reduction decisions; finally, there is a lack of coordination between cost optimization measures at different stages, and localized optimization may lead to increased costs in other stages, failing to achieve optimal overall cost.

[0004] Furthermore, with shorter vehicle model iteration cycles and increased customization demands, traditional post-event cost accounting methods are no longer sufficient to meet the requirements of rapid market response. Therefore, how to construct a systematic cost reduction technology system covering the entire lifecycle of automotive wiring harnesses, and achieve end-to-end cost optimization from component selection to logistics and assembly, has become a pressing technical problem for the automotive wiring harness industry. Summary of the Invention

[0005] This invention provides a method, system, equipment, and medium for optimizing the entire lifecycle cost of automotive wiring harnesses, which can achieve collaborative optimization and minimize overall cost across the entire chain, from component selection to logistics and assembly.

[0006] This invention provides a method for optimizing the lifecycle cost of automotive wiring harnesses, the method comprising: Based on the multi-source data generated during the component selection, design, assembly and logistics stages of automotive wiring harnesses, a cost basis data table is generated. The cost base data table is used to identify the optimizable items corresponding to each cost optimization dimension, so as to generate a cost reduction proposal that includes the optimizable items; Select a target cost reduction proposal from a plurality of cost reduction proposals, and combine the plurality of target cost reduction proposals into at least one combined proposal; Calculate the cost savings for each of the combined schemes, and select the combined scheme with the largest cost savings as the optimal cost reduction scheme; The optimal cost reduction scheme is output to the execution end, and the execution result data fed back by the execution end is received. The execution result data is used to optimize the iterative update of the identified optimizable items.

[0007] Optionally, the multi-source data includes component performance parameters collected during the component selection stage and actual operating condition parameters collected during the assembly stage. The step of identifying optimizable items for each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items includes: Based on the comparison between the actual operating parameters and the component performance parameters, redundant components are identified, and alternative solutions are generated to replace the redundant components with new parts.

[0008] Optionally, the multi-source data includes design path data and coating process data collected during the design phase; The step of identifying optimizable items for each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items includes: Based on the design path data and the coating process data, unnecessary path detours or unnecessary coating methods are identified, and optimization suggestions for shortening the path or simplifying the coating method are generated.

[0009] Optionally, the multi-source data includes material price data collected during the logistics phase; The step of identifying optimizable items for each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items includes: Based on the material price data, the lowest-priced alternative parts are selected under preset performance parameters, and a replacement suggestion scheme is generated to replace the current parts with the alternative parts.

[0010] This invention also provides a system for optimizing the lifecycle cost of automotive wiring harnesses, the system comprising: The data acquisition module is used to generate a cost basis data table based on multi-source data generated by automotive wiring harnesses during the component selection, design, assembly and logistics stages. The cost reduction decision module is used to identify the optimizable items corresponding to each cost optimization dimension from the cost base data table, so as to generate a cost reduction suggestion plan containing the optimizable items; An optimization and combination module is used to select a target cost reduction proposal from multiple cost reduction proposals and combine the multiple target cost reduction proposals into at least one combined proposal; The cost accounting module is used to calculate the cost savings of each of the combined solutions and select the combined solution with the largest cost savings as the optimal cost reduction solution. The data storage module is used to output the optimal cost reduction scheme to the execution end and receive the execution result data fed back by the execution end, wherein the execution result data is used to optimize the iterative update of the identified optimizable items.

[0011] Optionally, the cost accounting module is further used for: Calculate the expected cost savings of the proposed combination scheme and the implementation cost required to implement the proposed combination scheme; The net benefit of the combined scheme is determined based on the difference between the expected cost savings and the implementation cost. Determine the net benefit value of each of the combined schemes, and select the combined scheme with the largest net benefit value from the multiple combined schemes as the optimal cost reduction scheme.

[0012] Optionally, the system further includes a bill of materials parsing module, which is used for: Obtain the bill of materials for the automotive wiring harness assembly and break it down into multiple component categories; Calculate the ratio between the cost of each component category and the total cost of the wiring harness to generate bill of materials cost data that includes the ratio of all material costs and serve as the multi-source data.

[0013] Optionally, the system further includes a visual interactive terminal, the visual interactive terminal being used for: In response to the instruction to select a target wiring harness project, a call request is sent to the data storage module to obtain the optimal cost reduction solution corresponding to the target wiring harness project; The optimal cost reduction solution is divided into a display area for showcasing components, a display area for showcasing adjustment parameters, a display area for showcasing expected cost savings, and a display area for showcasing each execution step. In response to a data input command, the system acquires the execution progress data collected when the execution step is completed, and uploads the execution progress data to the data storage module. The execution progress data includes the actual execution time required to complete the execution step, the actual cost savings, and information on problems encountered during the execution process. The execution progress data is sent to the data storage module so that the data storage module associates the execution progress data with the optimal cost reduction scheme and stores it to form a traceable execution record.

[0014] The present invention also provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the automotive wiring harness lifecycle cost optimization method as described in any of the preceding claims.

[0015] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the automotive wiring harness lifecycle cost optimization method as described in any of the preceding claims.

[0016] The present invention has at least the following beneficial effects: First, this solution generates a cost baseline table by integrating multi-source data from multiple stages, including component selection, design, assembly, and logistics. This effectively breaks down data silos between stages, laying a data foundation for full lifecycle management. Second, by utilizing a cross-dimensional cost reduction suggestion screening and combination mechanism, the solution is no longer limited to local optimization of a single stage. Instead, it calculates the cost savings of different combinations of solutions, seeking the optimal solution with the lowest overall cost from a global perspective, thus achieving collaborative optimization across the entire chain. Finally, an execution result feedback mechanism is introduced to form a closed-loop iteration, ensuring that the cost reduction strategy can be dynamically adjusted according to actual execution, continuously improving optimization accuracy, and ultimately building a systematic cost reduction system covering the entire lifecycle of the wiring harness. Attached Figure Description

[0017] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation on the technical solutions of the present invention.

[0018] Figure 1 This is a flowchart illustrating the steps involved in a method for optimizing the lifecycle cost of automotive wiring harnesses. Figure 2 This is a schematic diagram of the cost reduction analysis path for automotive wiring harnesses in a method for optimizing the entire life cycle cost of automotive wiring harnesses; Figure 3 This is a schematic diagram of the redundancy removal scheme in a method for optimizing the life cycle cost of automotive wiring harnesses; Figure 4 This is a schematic diagram illustrating the design optimization scheme in a method for optimizing the entire life cycle cost of automotive wiring harnesses. Figure 5 This is a schematic diagram illustrating the path of a low-cost replacement scheme in a method for optimizing the life-cycle cost of automotive wiring harnesses. Figure 6 This is a schematic diagram of a system for optimizing the life-cycle cost of automotive wiring harnesses. Figure 7This is a schematic diagram showing the cost distribution of material components in a vehicle wiring harness for a specific model. Figure 8 This is a schematic diagram of the structure of an electronic device. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0020] In this technical field, against the backdrop of the global automotive industry's accelerated transformation towards electrification and intelligentization, automotive wiring harnesses, as the core "neural network" of the vehicle's electrical system, are experiencing a continuous increase in structural complexity and cost proportion. Currently, automotive wiring harnesses generally suffer from problems such as long wiring paths, complex connector models, and redundant component functions, directly leading to increased vehicle manufacturing costs, reduced production and assembly efficiency, and adversely affecting subsequent maintenance convenience.

[0021] Existing cost reduction methods for wiring harnesses are mostly focused on single dimensions such as annual reductions through business negotiations and optimization of production equipment parameters. They lack technical solutions that are deeply integrated with the physical structure and assembly process of wiring harnesses. They have not built a systematic cost reduction technology system covering the entire life cycle of wiring harnesses, and cannot achieve full-chain cost optimization from component selection to logistics and assembly. This makes it difficult to meet the needs of vehicle manufacturers for precise control of wiring harness costs.

[0022] The researchers who developed this technical solution categorized the existing problems as follows: (1) Existing technologies lack cost reduction technology carriers that are combined with wire harness BOM structure and physical characteristics, and cannot achieve precise cost reduction analysis at the component level; (2) Existing cost reduction methods cover only one dimension and do not integrate the entire process of design, production and logistics, so the cost reduction effect is limited; (3) The lack of standardized cost reduction implementation paths and data interaction mechanisms leads to low efficiency and high repetition in the implementation of cost reduction solutions.

[0023] To address the aforementioned technical problems, this technical solution provides a method, system, equipment, and medium for optimizing the entire lifecycle cost of automotive wiring harnesses, enabling collaborative optimization and minimizing overall costs across the entire chain, from component selection to logistics and assembly. The following are various embodiments of this technical solution.

[0024] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating the steps involved in optimizing the lifecycle cost of automotive wiring harnesses.

[0025] This embodiment provides a method for optimizing the lifecycle cost of automotive wiring harnesses, including: S101. Generate a cost basis data table based on the multi-source data generated by the automotive wiring harness during the component selection, design, assembly and logistics stages.

[0026] S102. Identify the optimizable items corresponding to each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items.

[0027] S103. Select the target cost reduction proposal from multiple cost reduction proposals, and combine the multiple target cost reduction proposals into at least one combined proposal.

[0028] S104. Calculate the cost savings for each combination scheme and select the combination scheme with the largest cost savings as the optimal cost reduction scheme.

[0029] S105. Output the optimal cost reduction plan to the execution end and receive the execution result data fed back by the execution end. The execution result data is used to optimize the iterative update of the identified optimizable items.

[0030] In this embodiment, the method of collecting multi-source data includes: using the barcode scanner of the data acquisition terminal to scan the barcodes of the wiring harness assembly and each component to obtain the BOM list (including model, specifications, supplier, and unit price); collecting the actual working temperature of areas such as the cabin and cockpit through temperature sensors; measuring the actual length of the wires used through a length measuring instrument; and then filtering the data to remove outliers, such as temperature data that exceeds the normal range.

[0031] Understandably, in this embodiment, firstly, the solution generates a cost basis table by integrating multi-source data from multiple stages such as component selection, design, assembly, and logistics, effectively breaking down data silos between stages and laying a data foundation for full lifecycle management. Secondly, by utilizing a cross-dimensional cost reduction suggestion screening and combination mechanism, the solution is no longer limited to local optimization of a single stage, but rather calculates the cost savings of different combination schemes to find the optimal solution with the lowest overall cost from a global perspective, thereby achieving collaborative optimization across the entire chain. Finally, an execution result feedback mechanism is introduced to form a closed-loop iteration, ensuring that the cost reduction strategy can be dynamically adjusted according to the actual execution situation, continuously improving the optimization accuracy, and ultimately building a systematic cost reduction system covering the entire lifecycle of the wiring harness.

[0032] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the cost reduction analysis path for automotive wiring harnesses in a method for optimizing the entire life cycle cost of automotive wiring harnesses.

[0033] The method for generating management cost optimization solutions is to calculate the management costs of different types of parts (such as warehousing costs and procurement process costs), compare the total costs of "adding functions and reserving fewer parts" with "not reserving functions and adding more parts", and automatically select the optimal solution.

[0034] The method for generating production process optimization is to analyze parameters such as wire process length and solder joint position, combine them with production efficiency data (such as processing time per meter of wire), output process parameter optimization suggestions (such as shortening the redundant length of wire and optimizing the solder joint spacing), and calculate the cost savings after process optimization.

[0035] The method for generating logistics packaging optimization solutions is to import data such as wire harness transportation distance and loading and unloading times, simulate the packaging material usage and transportation loss rate of different packaging solutions (such as shared boards and modified cable ties), and output the optimal packaging solution.

[0036] In some embodiments, multi-source data includes component performance parameters collected during the component selection phase and actual operating condition parameters collected during the assembly phase.

[0037] Step S102 includes: Based on the comparison between actual operating parameters and component performance parameters, redundant components are identified, and alternative solutions are generated to replace these redundant components with new parts.

[0038] Understandably, this embodiment further improves the accuracy of cost reduction analysis by introducing a redundancy identification mechanism based on comparisons of actual operating conditions and component performance parameters. The system can accurately locate components with redundant performance and generate targeted replacement suggestions, effectively avoiding cost waste caused by excessive quality. Combining full lifecycle data integration and combinatorial optimization strategies, this solution not only achieves collaborative cost reduction across the entire chain from component selection to logistics and assembly, but also further explores cost optimization space by eliminating design redundancy, ensuring product reliability, and ultimately achieving optimal control of overall costs.

[0039] Please refer to Figure 3 , Figure 3 This is a schematic diagram of the redundancy removal scheme in a method for optimizing the life cycle cost of automotive wiring harnesses.

[0040] Specifically, based on the component functional parameters (such as connector temperature resistance rating and wire temperature resistance rating) obtained by the data acquisition terminal, and compared with actual working environment data (such as engine compartment temperature and cockpit temperature), redundant functions are automatically identified (such as using waterproof connectors in dry areas or cockpit wire temperature resistance rating exceeding actual requirements), and suggestions for replacing redundant components are output.

[0041] In some embodiments, the multi-source data includes design path data and covering process data collected during the design phase.

[0042] Step S102 includes: Based on the design path data and the covering process data, identify unnecessary path detours or unnecessary covering methods, and generate an optimized proposal for shortening the path or simplifying the covering method.

[0043] It can be understood that by identifying and eliminating unnecessary path detours and excessive covering, the cost potential in the design and manufacturing links is further explored. Combined with the original full-life cycle cost optimization system, this solution can not only achieve cost reduction through full-chain collaboration from component selection to assembly, but also effectively reduce material consumption and assembly man-hours by streamlining the wire harness structure and process complexity. On the premise of ensuring the performance and reliability of the wire harness, this technical means realizes the deep integration of design simplification and cost control, and further improves the depth and accuracy of overall cost optimization.

[0044] Please refer to Figure 4 , Figure 4 which is a path schematic diagram of the design optimization solution in an automotive wire harness full-life cycle cost optimization method.

[0045] Specifically, retrieve the wire harness layout drawing data, analyze the rationality of the wire path (such as whether the inline position is optimal), the outer protection covering method (such as changing from full wrapping to patterned wrapping), and combine process parameter simulation (such as tape usage measurement) to output the design optimization solution.

[0046] In some embodiments, the multi-source data includes material price data collected during the logistics phase.

[0047] Step S102 includes: Based on the material price data, screen out the alternative component with the lowest price under the preset performance parameter conditions, and generate a replacement proposal for replacing the current component with the alternative component.

[0048] It can be understood that in this embodiment, cost optimization is extended from eliminating redundancy and process simplification to the component selection link at the source of the supply chain, achieving the optimal balance between technical performance and procurement cost. Combined with the full-life cycle data collaboration and combined optimization strategy, this solution constructs a three-dimensional cost reduction system covering design, component selection, process, and logistics, effectively avoiding the overall cost imbalance caused by local optimization in a single link, and significantly enhancing the cost competitiveness and economic benefits of the entire automotive wire harness chain.

[0049] Please refer to Figure 5 , Figure 5 which is a path schematic diagram of the low-price replacement solution in an automotive wire harness full-life cycle cost optimization method.

[0050] Specifically, by connecting to the supplier price database, and under the premise of meeting performance thresholds (such as wire current carrying capacity and connector vibration level), the lowest-priced parts of the same specifications are selected to generate a replacement list and cost comparison table.

[0051] Please refer to Figure 6 , Figure 6 This is a schematic diagram of a system for optimizing the lifecycle cost of automotive wiring harnesses.

[0052] This embodiment also provides an automotive wiring harness lifecycle cost optimization system, including: Data acquisition module 201 is used to generate a cost basis data table based on multi-source data generated by automotive wiring harnesses during the component selection, design, assembly and logistics stages. The cost reduction decision module 202 is used to identify the optimizable items corresponding to each cost optimization dimension from the cost base data table, so as to generate a cost reduction suggestion plan containing the optimizable items; The optimization and combination module 203 is used to select a target cost reduction proposal from multiple cost reduction proposals and combine multiple target cost reduction proposals into at least one combined proposal. The cost accounting module 204 is used to calculate the cost savings of each combination scheme and select the combination scheme with the largest cost savings as the optimal cost reduction scheme. The data storage module 205 is used to output the optimal cost reduction scheme to the execution end and receive the execution result data fed back by the execution end. The execution result data is used to optimize the iterative update of the identified optimizable items.

[0053] In this embodiment, the data storage module uses a distributed database to store information such as BOM data, process parameters, cost reduction plans, and cost accounting results, and supports data query, historical traceability, and version management.

[0054] Understandably, in this embodiment, firstly, the data acquisition module integrates multi-source data from selection, design, assembly, and logistics to generate a basic table, breaking down information barriers between different stages and eliminating "data silos." Secondly, the cost reduction decision-making module accurately identifies optimizable items in each dimension based on global data, ensuring that optimization measures cover the entire process rather than just specific areas. Next, the optimization combination module logically reorganizes and filters the scattered suggested solutions, avoiding system imbalances that may be caused by single-point optimization. The cost accounting module quantitatively calculates the savings of each combination solution, locking in the overall lowest-cost solution with the mathematically optimal solution, rather than a local optimum. Finally, the data storage module forms an "execution-feedback-iteration" closed loop, continuously refining the identification algorithm using actual results. This full-chain, dynamic iterative mechanism ensures that every step from component selection to logistics assembly is collaboratively optimized from a global perspective, ultimately minimizing overall costs.

[0055] In some embodiments, the data acquisition module 201 acquires data through a data acquisition terminal. When needed, it scans the barcodes of wire harness components to obtain basic BOM information (model, specifications, supplier); acquires process parameters such as wire crimping pressure and outer protective covering temperature; and measures physical dimensional data such as wire length and connector spacing.

[0056] In some embodiments, an automotive wiring harness lifecycle cost optimization system further includes an edge computing module, whose functions include: processing data uploaded by the acquisition terminal in real time and filtering valid information; performing basic cost accounting; and pushing the processed data to a visual interactive terminal.

[0057] In some embodiments, the cost reduction decision module 202 includes a redundancy removal submodule, which is used to automatically identify redundant functions (such as using waterproof connectors in dry areas or the temperature resistance rating of cockpit wires) by comparing the component functional parameters (such as connector temperature resistance rating and wire temperature resistance rating) obtained by the acquisition terminal with actual working environment data (such as engine room temperature and cockpit temperature) and output redundant component replacement suggestions.

[0058] In some embodiments, the cost reduction decision module 202 includes a design optimization submodule, which is used to retrieve wire harness layout drawing data, analyze the rationality of the wire path (such as whether the inline position is optimal), the external protection wrapping method (such as changing full wrapping to patterned wrapping), combine process parameter simulation (such as tape usage calculation), and output a design optimization scheme.

[0059] In some embodiments, the cost reduction decision module 202 includes a low-price replacement submodule, which is used to connect to the supplier price database, and under the premise of meeting performance thresholds (such as wire current carrying capacity and connector vibration level), select the lowest-priced parts of the same specifications and generate a replacement list and cost comparison table.

[0060] In some embodiments, the cost reduction decision module 202 includes a management fee optimization submodule, which is used to calculate the management costs (such as warehousing costs and procurement process costs) of different types of parts, compare the total cost of "adding functions and reserving fewer types of parts" with "not reserving functions and adding more types of parts", and automatically select the optimal solution.

[0061] In some embodiments, the cost reduction decision module 202 includes a production process optimization submodule, which analyzes parameters such as wire process length and solder joint position, combines production efficiency data (such as processing time per meter of wire), outputs process parameter optimization suggestions (such as shortening the redundant length of the wire and optimizing the solder joint spacing), and calculates the cost savings after process optimization.

[0062] In some embodiments, the cost reduction decision module 202 includes a logistics packaging optimization submodule, which is used to import data such as wire harness transportation distance and loading and unloading times, simulate the amount of packaging materials and transportation loss rate of different packaging schemes (such as shared boards and modified cable ties), and output the optimal packaging scheme.

[0063] In some embodiments, the cost accounting module is further configured to: Calculate the expected cost savings of the combined solutions and the implementation costs required to implement the combined solutions; determine the net benefit value of the combined solutions based on the difference between the expected cost savings and the implementation costs; determine the net benefit value of each combined solution, and select the combined solution with the largest net benefit value from multiple combined solutions as the optimal cost reduction solution.

[0064] Understandably, this embodiment introduces a net benefit assessment mechanism in the cost accounting process, incorporating implementation costs into the core decision-making process. By calculating the difference between the expected savings and the implementation cost, the system can accurately eliminate solutions that, while potentially reducing costs, have excessively high implementation costs, ensuring that the ultimately selected optimal solution possesses genuine economic feasibility. This improvement avoids the drawback of simply pursuing theoretical savings while ignoring implementation difficulties, achieving a leap from technical feasibility to economic optimization, and further enhancing the return on investment and practical value of the cost reduction strategy.

[0065] In some embodiments, an automotive wiring harness lifecycle cost optimization system further includes a bill of materials (BOM) parsing module, which is used for: Obtain the bill of materials (BOM) for the automotive wiring harness assembly and break it down into multiple component categories; calculate the ratio between the cost of each component category and the total cost of the wiring harness to generate BOM cost data that includes the cost ratios of all materials and use it as multi-source data.

[0066] Understandably, this embodiment achieves refined granularity of cost data by automatically disassembling the assembly BOM and calculating the cost proportion of each component category. This method transforms the originally general total cost data into a structured "cost distribution map," enabling the system to accurately locate high-value, high-cost component categories. This not only provides a more precise input basis for subsequent identification of optimizable items but also strengthens the cost control capability from macro-total to micro-structural levels, ensuring that cost reduction strategies can effectively focus on key cost drivers and significantly improve the targeting and effectiveness of lifecycle cost optimization.

[0067] In this embodiment, the bill of materials (BOM) parsing module imports the wire harness assembly BOM, automatically breaks it down to the component level such as connector terminals, wires, and clip brackets, calculates the cost percentage of each component (e.g., connector terminals 30.50%, cables 28.50%), and generates a structured BOM cost database. The cost percentage of each component is shown in the figure. Figure 7As shown.

[0068] In some embodiments, an automotive wiring harness lifecycle cost optimization system further includes a visual interactive terminal, which is used for: In response to the instruction to select a target wiring harness project, a call request is sent to the data storage module to obtain the optimal cost reduction plan corresponding to the target wiring harness project. The optimal cost reduction plan is divided into a display area for displaying components, a display area for displaying adjustment parameters, a display area for displaying expected cost savings, and a display area for displaying each execution step. In response to the data input instruction, the execution progress data collected when the execution steps are completed is obtained and uploaded to the data storage module. The execution progress data includes the actual execution time required to complete the execution steps, the actual cost savings, and information on problems encountered during execution. The execution progress data is sent to the data storage module so that the data storage module associates and stores the execution progress data with the optimal cost reduction plan to form a traceable execution record.

[0069] Understandably, this embodiment significantly improves the readability and ease of operation of decision-making by breaking down the optimal solution into independent areas such as components, parameters, benefits, and steps. Simultaneously, the terminal supports real-time collection and transmission of actual execution time, cost, and problem information, constructing a complete data loop of "solution distribution - process monitoring - result feedback." This not only ensures the precise controllability of the execution process but also continuously feeds back to optimize the algorithm by accumulating real feedback data, significantly improving the system's adaptability and actual implementation efficiency.

[0070] In this embodiment, the functions of the visual interactive terminal include: displaying the cost distribution of the wire harness BOM and the progress of cost reduction strategy implementation; supporting operators to manually input parameters (such as target cost reduction rate and component performance thresholds); and generating cost reduction analysis reports (including data charts, solution suggestions, etc.).

[0071] This technical solution also provides a specific embodiment. In this embodiment, the redundancy removal submodule calls the actual operating temperature data and the conductor temperature resistance level data. If the actual temperature of the cockpit is 60°C and the conductor temperature resistance level is 105°C, the suggestion to "change the 105°C temperature-resistant conductor in the cockpit to an 85°C temperature-resistant conductor" is automatically generated and passed to the cost accounting module to calculate the cost savings.

[0072] The design optimization submodule retrieves the wiring harness layout drawings. If it detects a detour in the wires, it automatically calculates the optimized wire length (e.g., shortening it from 2.5m to 2.2m), calculates material cost savings based on the wire unit price, and simultaneously analyzes the external protective covering method (e.g., changing full wrapping tape to patterned wrapping tape, and calculating the tape reduction).

[0073] The low-cost replacement submodule connects to the secondary component database. For example, if the current supplier quotes 15 yuan per connector for a certain model, while another qualified supplier quotes 12 yuan per connector, and the performance parameters (such as vibration resistance level, waterproof level, etc.) meet the requirements, then a replacement suggestion and cost comparison will be generated.

[0074] The cost accounting module performs a comprehensive calculation on the solutions output by each sub-module. If the expected net benefit of the "wire temperature resistance level adjustment + connector low-price replacement" combination solution is higher than the net benefit of the "outer protection wrapping optimization + logistics packaging adjustment" combination solution, the former will be recommended first.

[0075] The visual interactive terminal displays detailed information about the optimal cost reduction solution (including components involved, adjusted parameters, expected cost savings, and execution steps) and generates a PDF analysis report. Operators execute the solution based on the report (such as replacing connectors or adjusting wire lengths) and upload the execution progress in real time through the data acquisition terminal. The data storage module records all data during the solution execution process (such as execution time, actual cost savings, and problems encountered), forming a closed-loop management system to facilitate subsequent solution iterations.

[0076] In the automotive wiring harness lifecycle cost optimization system described in the above embodiment, by breaking down the wiring harness BOM to the component level and combining it with multi-dimensional cost reduction strategies, the cost of the wiring harness assembly can be reduced by 3%-5%. The estimated cost reduction analysis cycle for wiring harnesses is shortened from 15-20 working days in traditional manual analysis to 5-8 working days, and the efficiency of solution implementation is improved by more than 60%.

[0077] In addition, the system can be adapted to the wiring harness structure of different vehicle models (e.g., fuel vehicles, electric vehicles, and hybrid vehicles), and supports the expansion of modules to add new cost reduction dimensions (such as replacement of environmentally friendly materials and optimization of recycling processes) to meet long-term cost reduction needs. Furthermore, by recording cost reduction data at each stage in real time (such as component prices, process parameters, and logistics costs), a traceable cost reduction ledger is formed, which facilitates subsequent cost review and solution iteration.

[0078] It will be understood by those skilled in the art that all or some of the steps and apparatuses in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. As is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0079] It is understood that the content of the above method embodiments is applicable to this system embodiment. The specific functions implemented in this system embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0080] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement any of the above-mentioned automotive wiring harness lifecycle cost optimization methods.

[0081] refer to Figure 8 , Figure 8 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 301 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 302 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 302 can store operating devices and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 302 and called by the processor 301 to execute the automotive wiring harness lifecycle cost optimization method of the embodiments of this application. Input / output interface 303 is used to implement information input and output; The communication interface 304 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 305 transmits information between various components of the device (e.g., processor 301, memory 302, input / output interface 303, and communication interface 304); The processor 301, memory 302, input / output interface 303, and communication interface 304 are connected to each other within the device via bus 305.

[0082] It is understood that the content of the above method embodiments is applicable to the embodiments of this electronic device. The specific functions implemented by the embodiments of this electronic device are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0083] This application also provides a computer-readable storage medium storing a processor-executable program, which, when executed by a processor, is used to implement the automotive wiring harness lifecycle cost optimization method as described in any of the above specific embodiments.

[0084] This application also discloses a computer program product, including a computer program or computer instructions, which are stored in a computer-readable storage medium. The processor of the computer device reads the computer program or computer instructions from the computer-readable storage medium and executes the computer program or computer instructions, causing the computer device to perform the automotive wiring harness lifecycle cost optimization method as described in any of the preceding embodiments.

[0085] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0086] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application 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 this application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover 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 apparatuses. It should be understood that in this application, “at least one” means one or more, and “more than one” means two or more.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only 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 device, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0088] 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 network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0089] Furthermore, the functional units in the various embodiments of this application 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.

[0090] 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 this application, 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 this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0091] Although the description of this application has been quite detailed and particularly focused on several of the described embodiments, it is not intended to limit itself to any of these details or embodiments or any particular embodiment. Rather, it should be considered as effectively covering the intended scope of this application by referring to the appended claims and taking into account the prior art, which provides for a broad possible interpretation of these claims. Furthermore, the foregoing description of this application with respect to embodiments foreseeable by the inventors is intended to provide a useful description, and non-substantial modifications to this application that have not yet been foreseen may still represent equivalent modifications.

Claims

1. A method for optimizing the life-cycle cost of automotive wiring harnesses, characterized in that, The method includes: Based on the multi-source data generated during the component selection, design, assembly and logistics stages of automotive wiring harnesses, a cost basis data table is generated. The cost base data table is used to identify the optimizable items corresponding to each cost optimization dimension, so as to generate a cost reduction proposal that includes the optimizable items; Select a target cost reduction proposal from a plurality of cost reduction proposals, and combine the plurality of target cost reduction proposals into at least one combined proposal; Calculate the cost savings for each of the combined schemes, and select the combined scheme with the largest cost savings as the optimal cost reduction scheme; The optimal cost reduction scheme is output to the execution end, and the execution result data fed back by the execution end is received. The execution result data is used to optimize the iterative update of the identified optimizable items.

2. The method according to claim 1, characterized in that, The multi-source data includes component performance parameters collected during the component selection stage and actual operating condition parameters collected during the assembly stage. The step of identifying optimizable items for each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items includes: Based on the comparison between the actual operating parameters and the component performance parameters, redundant components are identified, and alternative solutions are generated to replace the redundant components with new parts.

3. The method according to claim 1, characterized in that, The multi-source data includes design path data and coating process data collected during the design phase. The step of identifying optimizable items for each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items includes: Based on the design path data and the coating process data, unnecessary path detours or unnecessary coating methods are identified, and optimization suggestions for shortening the path or simplifying the coating method are generated.

4. The method according to claim 1, characterized in that, The multi-source data includes material price data collected during the logistics phase; The step of identifying optimizable items for each cost optimization dimension from the cost base data table to generate a cost reduction proposal containing the optimizable items includes: Based on the material price data, the lowest-priced alternative parts are selected under preset performance parameters, and a replacement suggestion scheme is generated to replace the current parts with the alternative parts.

5. A system for optimizing the lifecycle cost of automotive wiring harnesses, characterized in that, The system includes: The data acquisition module is used to generate a cost basis data table based on multi-source data generated by automotive wiring harnesses during the component selection, design, assembly and logistics stages. The cost reduction decision module is used to identify the optimizable items corresponding to each cost optimization dimension from the cost base data table, so as to generate a cost reduction suggestion plan containing the optimizable items; An optimization and combination module is used to select a target cost reduction proposal from multiple cost reduction proposals and combine the multiple target cost reduction proposals into at least one combined proposal; The cost accounting module is used to calculate the cost savings of each of the combined solutions and select the combined solution with the largest cost savings as the optimal cost reduction solution. The data storage module is used to output the optimal cost reduction scheme to the execution end and receive the execution result data fed back by the execution end, wherein the execution result data is used to optimize the iterative update of the identified optimizable items.

6. The system according to claim 5, characterized in that, The cost accounting module is also used for: Calculate the expected cost savings of the proposed combination scheme and the implementation cost required to implement the proposed combination scheme; The net benefit of the combined scheme is determined based on the difference between the expected cost savings and the implementation cost. Determine the net benefit value of each of the combined schemes, and select the combined scheme with the largest net benefit value from the multiple combined schemes as the optimal cost reduction scheme.

7. The system according to claim 5, characterized in that, The system also includes a bill of materials parsing module, which is used for: Obtain the bill of materials for the automotive wiring harness assembly and break it down into multiple component categories; Calculate the ratio between the cost of each component category and the total cost of the wiring harness to generate bill of materials cost data that includes the ratio of all material costs and serve as the multi-source data.

8. The system according to claim 5, characterized in that, The system also includes a visual interactive terminal, which is used for: In response to the instruction to select a target wiring harness project, a call request is sent to the data storage module to obtain the optimal cost reduction solution corresponding to the target wiring harness project; The optimal cost reduction solution is divided into a display area for showcasing components, a display area for showcasing adjustment parameters, a display area for showcasing expected cost savings, and a display area for showcasing each execution step. In response to a data input command, the system acquires the execution progress data collected when the execution step is completed, and uploads the execution progress data to the data storage module. The execution progress data includes the actual execution time required to complete the execution step, the actual cost savings, and information on problems encountered during the execution process. The execution progress data is sent to the data storage module so that the data storage module associates the execution progress data with the optimal cost reduction scheme and stores it to form a traceable execution record.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the automotive wiring harness lifecycle cost optimization method according to any one of claims 1 to 4.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for optimizing the full life cycle cost of automotive wiring harnesses as described in any one of claims 1 to 4.

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