A Research of Resequencing Problem in Automobile Paint Shops Using Selectivity Banks
The resequencing operations of using selectivity banks in automobile paint shops is studied in this paper. A 0-1 integer programming model is formulated to describe the process. The objective of the proposed model is to minimize the number of color changes in a car sequence after sorting. A nested ant colony optimization heuristic is developed to find near-optimal solutions. Computational experiments are conducted to evaluate the performance of the presented algorithm. It is shown that the proposed algorithm can effectively and efficiently solve the resequencing problem within reasonable time duration.
Long LIN Hui SUN Ying-qiu XU
School of Mechanical Engineering, Southeast University, Nanjing, China
国际会议
长春
英文
658-662
2011-09-03(万方平台首次上网日期,不代表论文的发表时间)