Application of ART1 Based Neural Network for Cell Formation in Group Technology
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 11
Abstract
Cell formation is a key step in Group Technology .Number of research work has been carried out over the same. This research paper is focused on to determine an efficient clustering technique for Part-Machine incidence matrix which can be adapted to real manufacturing unit. For this purpose two array based techniques namely Rank Order Clustering (ROC) and Direct Clustering Analysis (DCA) are compared with Adaptive Resonance Theory (ART1), on the basis of four evaluating parameters. One real time manufacturing problem has been solved by application of all three methods and results are compared. This paper also concerns to development of optimal and efficient models for cell formation in group technology with application of Adaptive Resonance Theory (ART1) neural networks so that A large size cell formation problem in group technology can be solved easily with greater computational efficiency.
Authors and Affiliations
Prabhat Kumar Giri, Dr. S. K. Moulick
Keywords
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- EP ID EP392806
- DOI 10.9790/9622-0711024247.
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