乘用车发动机装配线多目标工艺优化

摘要

To overcome the defect that traditional process optimization problems of assembly line optimize a single target rather than take other important factors into consideration,a multi-objective optimization mathematical model is built to maximize capacity,balance load,and minimize cost.In view of complicated assembly processes,a large number of work stations,expensive tools and great needs of passenger vehicle engine,a GASA algorithm is designed by genetic algorithm and simulated annealing algorithm.A case study shows that the model and algorithm are effective to solve process optimization problems of large-scale passenger vehicle engine assembly line.%针对传统装配线工艺优化中优化单一目标而忽略其他重要因素的缺陷,构建以产能最大化、负载均衡化、成本最低化为目标的乘用车发动机装配线多目标优化数学模型.根据乘用车发动机装配工序繁杂、工位数量多、工装工具昂贵、市场需求大的特点,运用遗传算法和模拟退火算法相结合的GASA算法进行求解.实例验证表明,该模型及算法能有效解决大规模乘用车发动机装配线的工艺优化问题.