Minimizing total completion time for re-entrant flow shop scheduling problems

Theoretical Computer Science(2011)

引用 20|浏览0
暂无评分
摘要
In this paper, we study re-entrant flow shop scheduling problems with the objective of minimizing total completion time. In a re-entrant scheduling problem, jobs may visit some machines more than once for processing. The problem is NP-hard even for machine number m=2. A heuristic algorithm is presented to solve the problem, in which an effective k-insertion technique is introduced as the improvement strategy in iterations. Computational experiments and analyses are performed to give guidelines of choosing parameters in the algorithm. We also provide a lower bound for the total completion time of the optimal solution when there are only two machines. Objective function values of the heuristic solutions are compared with the lower bounds to evaluate the efficiency of the algorithm. For randomly generated instances, the results show that the given heuristic algorithm generates solutions with total completion times within 1.2 times of the lower bounds in most of the cases.
更多
查看译文
关键词
objective function value,improvement strategy,re-entrant flow shop scheduling,total completion time,re-entrant scheduling problem,heuristic solution,effective k-insertion technique,heuristic algorithm,computational experiment,lower bound
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要