...
首页> 外文期刊>International Journal of Production Research >Scheduling jobs in an Alcan aluminium foundry using a genetic algorithm
【24h】

Scheduling jobs in an Alcan aluminium foundry using a genetic algorithm

机译:使用遗传算法调度Alcan铝铸造厂的工作

获取原文
获取原文并翻译 | 示例
           

摘要

We present a genetic algorithm for the solution of an industrial scheduling prob- lem in an Alcan aluminium foundry situated in Quebec. We seek the best pro- cessing sequence for n orders on a m parallel machines. The set-up times are sequence dependent and we must deal with multiple criteria. There are also a number of structural constraints that distinguish this situation from the classical model. The performance of the solution approach is compared with the results of the scheduling process used by the firm according to three criteria: meeting due dates, number and duration of required set-ups and metal flow.
机译:我们提出了一种遗传算法,用于解决位于魁北克的Alcan铝铸造厂的工业调度问题。我们在m台并行机上寻求n个订单的最佳处理顺序。设置时间取决于序列,我们必须处理多个条件。还有许多结构上的限制将这种情况与经典模型区分开。根据以下三个标准,将解决方案方法的性能与公司使用的调度过程的结果进行比较:满足到期日,所需设置的数量和持续时间以及金属流。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号