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Restructuring of a plant production layout by using different array-based clustering techniques
by Girija Moona; Anil Kumar; Harish Kumar
International Journal of Advanced Operations Management (IJAOM), Vol. 8, No. 3, 2016
Abstract: This paper deals with restructuring of plant production layout by using two different clustering technique algorithms, namely rank order clustering (ROC) and genetic algorithm (GA) for manufacturing cell formation, with a real-life example to identify the effectiveness of the two clustering techniques. The objective is to cluster the machines and parts in such a manner, so that the advantages of cellular manufacturing systems/group technology are attained in terms of optimisation of setup time, reduction of material handling and reduction of total manufacturing lead time. A comparative study is done between the conventional layout and restructured layouts. The results obtained show that with ROC the total setup time for all 13 parts is reduced by 56%, total distance travelled during material handling is reduced by 56% and total lead time for all 13 parts is reduced by 20% as compared to the conventional layout, while with GA the total setup time for all 13 parts is reduced by 67%, the total distance travelled during material handling is reduced by 62% and total lead time for all 13 parts is reduced by 25% as compared to the conventional layout.
Online publication date: Wed, 28-Dec-2016
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