首页> 外文会议>Institute of Industrial Engineers Annual Conference >A Genetic Algorithm Approach for Minimizing Earliness-Tardiness on a Single Burn-In Oven with a Common Due Date
【24h】

A Genetic Algorithm Approach for Minimizing Earliness-Tardiness on a Single Burn-In Oven with a Common Due Date

机译:一种遗传算法方法,用于最大限度地减少单一燃烧炉的速度与普通截止日期

获取原文

摘要

We consider the problem of minimizing earliness-tardiness on a single burn-in oven with a common due date. Problems of this type have great practical relevance in the backend area of a semiconductor wafer fabrication facility. We suggest a heuristic algorithm. In the first stage we use job sequencing rules and dynamic programming in order to form batches. Then we apply a genetic algorithm for obtaining a partition of the job set into a set of early jobs and a set of tardy jobs (stage two). We use a job sequencing rule and dynamic programming for batch formation on the two sets from second stage. We determine an optimal sequence of batches by using the batch weighted longest processing time rule and the batch shortest processing time rule. We compare the performance of the suggested algorithm with a property-based heuristic suggested by Sung et al. (2002).
机译:我们认为,在一个常见的截止日期,我们考虑在单一燃烧烤箱上最小化的问题。这种类型的问题在半导体晶片制造设施的后端区域具有很大的实际相关性。我们建议启发式算法。在第一阶段,我们使用作业排序规则和动态编程,以便形成批次。然后,我们应用一种遗传算法,用于获得作业的分区集成一组早期作业和一组迟到的作业(阶段二)。我们使用第二阶段的两组批量形成的作业排序规则和动态编程。我们通过使用批量加权最长处理时间规则和批处理最短处理时间规则来确定最佳批次序列。我们将建议算法与Sung等人建议的基于物业的启发式展示的表现进行了比较。 (2002)。

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