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Fuzzy ART K-Means Clustering Technique: a hybrid neural network approach to cellularmanufacturing systems

机译：模糊ART K均值聚类技术：细胞制造系统的混合神经网络方法

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摘要

Cellular manufacturing system (CMS) is regarded as an efficient production strategy for batch type of production. Literature suggests, since the last two decades neural network has been intensively used in cell formation while production factor such as operation time is merely considered. This paper presents a new hybrid neural network approach, Fuzzy ART K-Means Clustering Technique (FAKMCT), to solve the part machine grouping problem in CMS considering operation time. The performance of the proposed technique is tested with problems from open literature and the results are compared to the existing clustering models such as simple K-means algorithm and modified ART1 algorithm as found in the recent literature. The results support the better performance of the proposed algorithm. The novelty of this study lies in the simple and efficient methodology to produce quick solutions with least computational efforts.View full textDownload full textKeywordscell formation, group technology, cellular manufacturing, artificial neural network, fuzzy adaptive resonance theory, k-means, clusteringRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/0951192X.2011.602362
机译：蜂窝制造系统（CMS）被视为批量生产的有效生产策略。文献表明，自从过去的二十年以来，神经网络已被广泛用于细胞形成，而仅考虑诸如生产时间之类的生产因素。本文提出了一种新的混合神经网络方法，即模糊ART K均值聚类技术（FAKMCT），以解决考虑操作时间的CMS零件机器分组问题。通过公开文献中的问题对所提出技术的性能进行了测试，并将结果与​​现有的聚类模型（如简单的K均值算法和改进的ART1算法）进行了比较（如最近的文献所示）。结果支持了所提出算法的更好性能。这项研究的新颖之处在于简单而有效的方法，可以用最少的计算工作来产生快速的解决方案。查看全文下载全文关键词细胞形成，群技术，细胞制造，人工神经网络，模糊自适应共振理论，k均值，聚类相关var addthis_config = {ui_cobrand：“ Taylor＆Francis Online”，servicescompact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon，digg，google，更多”，发布：“ ra-4dff56cd6bb1830b”}；添加到候选列表链接永久链接http://dx.doi.org/10.1080/0951192X.2011.602362

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