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Applying improved median linkage heuristic for cell formation problem considering binary data

机译:在考虑二元数据的情况下将改进的中位连锁启发式方法应用于细胞形成问题

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摘要

The crucial problem in cellular manufacturing system (CMS) is to identify the machine cells and corresponding part families to form the production cells. This article portrays a novel approach based on median linkage clustering (MLC) algorithm to form the production cells. The projected technique is demonstrated in two portions. Firstly, the MLC procedure and Nei and Li's similarity coefficient method are incorporated to obtain the machine cells. Thereafter, a modified part assignment technique is recommended to form the corresponding part-families. The proposed technique is shown to outperform the other published methodologies and produced improved solutions for the test datasets.
机译:蜂窝制造系统(CMS)中的关键问题是识别机器单元和相应的零件族以形成生产单元。本文介绍了一种基于中值链接聚类(MLC)算法形成生产单元的新颖方法。分两部分演示了投影技术。首先,结合MLC程序和Nei和Li的相似系数方法来获得机器单元。此后,建议使用改进的零件分配技术来形成相应的零件家族。结果表明,所提出的技术优于其他已发布的方法,并为测试数据集提供了改进的解决方案。

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