An Iterative Approach Based on Hybrid Optimization for Simultaneous Optimization of Production Planning and Scheduling
This paper deals with the integrated production planning and scheduling over a finite horizon for synchronous automobile assembly lines. We present a mixed integer programming model such that it can facilitate to develop efficient solution procedures. An iterative approach that alternate between solving planning problem with a fixed schedule and scheduling problem with a fixed lot sizing is provided. Planning problem is solved based on exact method, and an ant colony optimization algorithm is employed to solve corresponding scheduling. The experimental results show the advantages and the efficiency of the proposed approach.
Production planning and scheduling Ant colony optimization Automobile assembly lines
Yuwei An Hongsen Yan
School of Automation Southeast University Nanjing 210096, China
国际会议
杭州
英文
244-249
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）