首页> 外文期刊>European Journal of Operational Research >An Evolutionary Algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes
【24h】

An Evolutionary Algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes

机译:一种进化算法和离散事件仿真,用于优化多阶段过程的检查策略

获取原文
获取原文并翻译 | 示例
           

摘要

The problem of determining the optimal inspection strategy for a given multi-stage production process, i.e. the inspection strategy that results in the lowest total inspection cost, while still assuring a required output quality, is modelled as a joint optimization of inspection location, type and inspection limits. A fusion between a discrete event simulation to model the multi-stage process subject to inspection and to calculate the resulting inspection costs, and an Evolutionary Algorithm (EA) to optimize the inspection strategies, is suggested. (c) 2005 Elsevier B.V. All rights reserved.
机译:确定给定多阶段生产过程的最佳检查策略的问题,即在确保总输出成本最低的同时仍确保所需输出质量的检查策略,被建模为检查位置,类型和检查位置的联合优化。检查极限。建议将离散事件模拟(用于对要检查的多阶段过程进行建模并计算最终检查成本)与用于优化检查策略的进化算法(EA)的融合。 (c)2005 Elsevier B.V.保留所有权利。

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