A genetic algorithm for solving a maintenance model in a FMS

Chinho Lin, Jong Mau Yeh, Jieh Rern Ding

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)


Maintenance float problems in a flexible manufacturing system structure are intractable. Therefore, there is a need for an enumerative search method to solve such problems. This study presents a novel genetic algorithm to search for the optimal float and capacity of repair stations for FMS maintenance float systems. The proposed algorithm is operated under a feasible set of failure rates to investigate how its performance dominates the enumerative search algorithm. Experimental results indicate that the genetic algorithm is more promising than the enumerative search algorithm in searching for the best approximate solution and in minimizing the execution time.

頁(從 - 到)449-456
期刊International Journal of Systems Science
出版狀態Published - 2000 1月 1

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 理論電腦科學
  • 電腦科學應用


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