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A heuristic algorithm for machine assignment in cellular layout

机译:蜂窝布局中机器分配的启发式算法

摘要

This paper presents a heuristic algorithm that addresses problems of machine allocation in cellular manufacturing (CM). The focus is on the intra-cell machines allocation, because the inter-cell material flows should be minimal in CM. The algorithm tackles one cell at a time with a maximum of 9 machines, which will be assigned into a 3 × 3 grid space according to the ranking result. The proposed algorithm uses an adoptive approach to relate machines in a cell by examining the merged part flow weights of machine pairs. The establishment of the part flow weight includes practical constrains, such as the part-handling factor and the number of parts per transportation. Then, an objective function is employed to determine the total travelling score in which the travelling distance is covered. The procedures of the proposed heuristic algorithm will be presented in this paper and data used in Yaman's cases are used to illustrate the operation. In comparison to other approaches, the proposed algorithm provided near-optimum layouts.
机译:本文提出了一种启发式算法,可以解决蜂窝制造(CM)中机器分配的问题。重点在于单元内机器的分配,因为在CM中,单元间的物料流应该最小。该算法一次最多处理9个机器,一次处理一个单元,根据排名结果将其分配到3×3的网格空间中。该算法通过检查机器对的合并部分流量权重,采用了一种过继的方法来关联单元中的机器。零件流量权重的确定包括实际约束,例如零件处理系数和每次运输的零件数量。然后,采用目标函数来确定涵盖行驶距离的总行驶分数。本文将介绍所提出的启发式算法的过程,并使用Yaman案例中使用的数据来说明该操作。与其他方法相比,该算法提供了近乎最佳的布局。

著录项

  • 作者

    Chan WM; Chan CY; Ip WH;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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