Improving the Performance of the Cluster Identification Algorithm for Grouping in Advanced Manufacturing

机译：提高高级制造中集群识别算法的性能

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Advanced manufacturing concepts such as cellular and flexible manufacturing may require the formation of part families and machine cells. Many algorithms have been proposed for this and cluster identification (CI) is one such approach. The original CI approach is effective only for perfectly separable cases. Follow up efforts use a branch and bound framework to make the CI approach work in partially separable cases. Although the branch and bound framework is useful, it may still produce infeasible solutions. In this paper, we adopt an improved branching scheme to deal with the problem. Computational results are also reported.

机译：如蜂窝和柔性制造的先进制造概念可能需要部件系列和机器细胞的形成。已经提出了许多算法，并且群集识别（CI）是一种这样的方法。原始CI方法仅适用于完全可分离的情况。跟进努力使用分支和绑定的框架来使CI方法在部分可分离的情况下工作。虽然分支机构和绑定框架很有用，但它仍然可能产生不可行的解决方案。在本文中，我们采用改进的分支计划来处理问题。还报告了计算结果。

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《International Conference on Manufacturing Engineering and Technology for Manufacturing Growth》|2013年||共5页
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Chun-Hung Cheng; Pok-Nan Chu; Tobin Dorbin Ng;
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中图分类 TH16-53;
关键词
Cellular manufacturing; Flexible manufacturing; Branch and bound; Cluster identification;

机译：细胞制造;柔性制造;分支和绑定;集群识别;

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Improving the Performance of the Cluster Identification Algorithm for Grouping in Advanced Manufacturing

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