面向离散型产线的资源配置仿真优化研究

Simulation-Based Optimization of Resource Allocation for Discrete Production Lines

摘要: 针对离散制造行业多品种、小批量的生产特性及常见的离散型产线资源配置需求，以企业离散型装配产线为研究对象，本文基于Plant Simulation开展了离散型产线的资源配置仿真优化研究，以工艺流程、设备节拍、工作时间等约束条件为输入构建了产线仿真模型，匹配生产产能目标，系统建立资源配置优化策略，通过分析评估产线设备利用率、库房容量、制造波动等相关数据，进行了离散型产线全流程仿真，实现了在给定产能条件下的资源配置调优，为产线规划提供参考及支撑，最终指导离散型产线的构建及资源配置。

Abstract: Addressing the multi-variety, small-batch production paradigm and prevalent resource allocation challenges in discrete manufacturing, this study examines a discrete assembly production line at an enterprise. Using Plant Simulation, we conducted simulation-based optimization of resource allocation for discrete production lines. A simulation model was developed with inputs including process flows, equipment takt time, and operating hour constraints, calibrated to production capacity targets. A systematic resource optimization strategy was formulated. Through analysis of equipment utilization rates, warehouse capacity, and manufacturing variability metrics, a full-scale discrete-event simulation of the production line was executed. This enabled resource configuration refinements under specified capacity conditions, providing actionable insights for production line planning. Ultimately, the framework guides discrete production line design and evidence-based resource allocation.