文章基本信息

标题：Implementation of Machine Part Cell Formation Algorithm in Cellular Manufacturing Technology Using Neural Networks
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作者：Tribikram Pradhan ; Satya Ranjan Mishra
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：2
页码：173-178
DOI：10.14257/ijhit.2015.8.2.15
出版社：SERSC
摘要：The machine-part cell formation problem explains the topics surrounding the creation of part families based on the processing needs of the components, and the classification of machine groups based on their capacity to process exact part families in manufacturing. Allocate the specified machines and parts into cells so that the grouping efficiency is maximized. The objective of the paper is to cluster the parts based upon self-organizing map (SOM). After clustering, Minkowski distance is used to sort the machines and some bottlenecks are introduced during the clustering process which can be removed manually by rearranging. We are going to implement self-organizing map (SOM) which is a type of artificial neural network technique to solve this problem. The proposed Minkowski distance approach produced solution with a good group efficiency.
关键词：Self-organizing map (SOM); Minkowski distance; neural network