Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Adaptive Clustering Algorithm for Recycling Cell Formation: An Application of Fuzzy ART Neural Networks

  • Seo, Kwang-Kyu (Department of Industrial Information and Systems Engineering, Sangmyng University) ;
  • Park, Ji-Hyung (CAD/CAM Research Center, Korea Institute of Science and Technology)
  • Published : 2004.12.01
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Abstract

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end-of-life phase. Disposal products have the uncertainties of product status by usage influences during product use phase, and recycling cells are formed design, process and usage attributes. In order to deal with the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. Fuzzy C-mean algorithm and a heuristic approach based on fuzzy ART neural network is suggested. Especially, the modified Fuzzy ART neural network is shown that it has a good clustering results and gives an extension for systematically generating alternative solutions in the recycling cell formation problem. Disposal refrigerators are shown as examples.

Keywords

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