Formation of machine groups and part families: a modified SLC method and comparative study

H. Selim, Reda M.S. Abdel Aal, Araby I. Mahdi
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引用次数: 21

Abstract

This paper introduces a modified single linkage clustering heuristic (MOD‐SC). The proposed MOD‐SLC objective is to test the application of Baroni‐Urban and Buser (BUB) similarity coefficient to the manufacturing cell formation (MCF) problem instead of Jaccard’s similarity coefficient. The MOD‐SLC has been compared and evaluated against three cluster formation‐based heuristics for MCF. The three heuristics are: the single linkage clustering, enhanced rank order clustering, and direct clustering algorithm. The MCF methods considered in this comparative and evaluative study belong to the cluster formation approach of solving the MCF problem. The comparison and evaluation are performed using four published performance measures. A total of 25 published and ten hypothetical and randomly generated problem data sets are used in the proposed evaluative study. Results analysis is carried out to test and validate the proposed BUB based MOD‐SLC. Finally the pros and cons of each method are stated and discussed.
机群和零件族的形成:一种改进的SLC方法及比较研究
本文介绍了一种改进的单链接聚类启发式算法(MOD‐SC)。提出的MOD - SLC目标是测试Baroni - Urban和Buser (BUB)相似系数代替Jaccard相似系数在制造单元形成(MCF)问题中的应用。MOD - SLC与三种基于聚类形成的MCF启发式方法进行了比较和评估。这三种启发式算法分别是:单链接聚类、增强秩序聚类和直接聚类算法。本比较和评价研究中考虑的MCF方法属于解决MCF问题的聚类形成方法。比较和评估使用四个公布的绩效指标进行。在拟议的评价研究中,总共使用了25个已发表的和10个假设的和随机生成的问题数据集。结果分析进行了测试和验证所提出的基于BUB的MOD‐SLC。最后对每种方法的优缺点进行了阐述和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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