摘要
当前,汽车制造业面临柔性化转型与效率升级需求,传统经验驱动的生产线设备布局存在空间冗余、物流拥堵、产能错配等问题。本文引入整数规划理论,聚焦空间集约分配、物流成本精益控制、产能动态适配三大核心诉求,构建基于空间配置、物流路径、产能适配的整数规划模型,并结合轿车总装、新能源汽车电池生产等实践案例进行验证。结果表明,该建模路径可有效提升空间利用率、降低物流成本、动态平衡产能与需求,为汽车制造从经验决策向数据驱动决策转变提供理论与实践支撑。
Currently,the automotive manufacturing industry is facing the demands for flexible transformation and efficiency upgrade.The traditional experience-driven layout of production line equipment has problems such as spatial redundancy,logistics congestion,and capacity mismatch.This paper introduces the integer programming theory,focuses on the three core demands of space-efficient allocation,lean control of logistics costs,and dynamic adaptation of production capacity,and constructs an integer programming model based on space configuration,logistics path,and production capacity adaptation.Combined with practical cases such as car assembly and production of battery for new energy vehicles,the model is verified.The results show that this modeling approach can effectively improve space utilization,reduce logistics costs,and dynamically balance production capacity and demand,providing theoretical and practical support for the transformation from experience-based decision-making to data-driven decision-making in automotive manufacturing.
作者
蒋坤伶
Jiang Kunling(Shangqiu Institute of Technology,Shangqiu 476000,China)
出处
《汽车电器》
2026年第2期181-183,共3页
Auto Electric Parts
关键词
汽车生产线
整数规划
设备布局优化
生产效率建模
物流路径优化
automotive production line
integer programming
equipment layout optimization
production efficiency modeling
logistics path optimization
