首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Machine Maintenance in Open Shop Problems with Genetic Algorithm
  • 本地全文:下载
  • 作者:Meisam soleimani ; Majid salimi
  • 期刊名称:International Journal of Mechatronics, Electrical and Computer Technology
  • 印刷版ISSN:2305-0543
  • 出版年度:2012
  • 卷号:2
  • 期号:5
  • 页码:181-197
  • 出版社:Austrian E-Journals of Universal Scientific Organization
  • 摘要:Scheduling in open shop problems is one of the most important scheduling problems in industries. Its solution area is huge, so it is among the hard problems. Then, using classic methods for optimal solution is of high time complexity and even impossible in some cases. Therefore, to solve these problems one is to use innovative methods. Among the articles on solving open shop problems, no one considered machine maintenance parameter; whereas, factories machinery will damage during operation due to various reasons which result in extensive loss such as, waste of time and extra cost for re-operating halfway procedure. Therefore, it is better to consider all things and control scheduling strictly. In this article, we proposed a new method to solve open shop scheduling problem using genetic algorithm that consider machinery maintenance for the best time
  • 关键词:Open Shop Scheduling Problem; Genetic Algorithm; machines maintenance
国家哲学社会科学文献中心版权所有