动态上下料路径下柔性产品族生产调度研究
Research on production scheduling of flexible product family on dynamic loading-and-unloading path
王鹏 1毕庆鹏 2悦华3
作者信息
- 1. 天津大学机械工程学院,天津 300072;浙江康思特动力机械有限公司,浙江绍兴 312000;天津大学浙江国际创新设计与智造研究院,浙江绍兴 312000
- 2. 天津大学浙江国际创新设计与智造研究院,浙江绍兴 312000
- 3. 浙江康思特动力机械有限公司,浙江绍兴 312000
- 折叠
摘要
针对汽车零部件柔性产品族制造单元考虑工序间动态上下料路径与时间的生产调度求解问题,文中提出一种用于动态上下料路径柔性作业调度问题优化的自适应离散差分进化算法.通过自适应缩放参数实现收敛速度提升,构建基于矩阵映射的离散编码规则实现变异操作离散化及基于机器人实际运动路径的动态调度解码.通过对某平台化车型架构的转向器壳体加工单元实例分析并验证了算法有效性及优越性.
Abstract
In the flexible-product-family manufacturing units for automotive components,the problem of production schedu-ling should be solved,which calls for the consideration of both the dynamic loading-and-unloading path and the time between dif-ferent processes.In this article,a self-adaptive discrete differential evolution algorithm is proposed for optimizing the flexible pro-duction scheduling on the dynamic loading-and-unloading path.The self-adaptive scaling parameters are used to improve the convergence speed;a discrete encoding rule based on matrix mapping is constructed to discretize mutation operations;dynamic scheduling decoding is based on the actual path of the robot's motion.The case study is conducted on the processing unit for the steering gear housing based on a platform-typed vehicle architecture,which has verified that this algorithm is effective and superior.
关键词
动态上下料路径/改进差分进化算法/柔性产品族/生产调度Key words
dynamic loading-and-unloading path/improved differential evolution algorithm/flexible product family/produc-tion scheduling引用本文复制引用
基金项目
国家自然科学基金面上项目(52275457)
绍兴市产业关键技术攻关计划项目(2022B41003)
宁波市重大科技任务攻关项目(2022Z055)
绍兴市特种设备智能检测与评价重点实验室开放课题(SXTJKFKT202301)
出版年
2024
NETL
NSTL
万方数据