基于知识模型和仿真分析的涂装车间生产时序优化研究

Study on Production Sequence Optimization of Paint Shop Based on Knowledge Model and Simulation Analysis

针对某汽车工厂涂装车间因生产工序较多、存在共线生产、部分线体不允许在线缓存等导致的生产时序表难以制定和验证可行性的问题,提出采用知识建模和系统仿真方法进行仿真预演和数据统计分析,挖掘人工初步制定的生产时序表的瓶颈,并通过反复迭代仿真预演,最终得到不存在线体堵车现象或缺少在制品车现象,且生产时间短的生产时序表。

It is difficult to formulate and verify the feasibility of production schedule in the paint shop of an automobile factory because there are many production processes,existing collinear production,and some line bodies do not allow online caching.This paper proposes performing simulation preview and data statistical analysis through knowledge modeling and system simulating to dig out the bottleneck of the production schedule preliminarily formulated by manual,and finally obtains the optimized production time sequence with short production time and no traffic jam or lack of in-process vehicles through repeated iteration simulation and rehearsal.