Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences
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Publication:4474679
DOI10.1080/0020754031000110277zbMath1052.90577OpenAlexW2007400378MaRDI QIDQ4474679
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Publication date: 12 July 2004
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/0020754031000110277
Management decision making, including multiple objectives (90B50) Neural networks for/in biological studies, artificial life and related topics (92B20)
Related Items (7)
A mathematical model and a heuristic approach for design of the hybrid manufacturing systems to facilitate one-piece flow ⋮ The modified fuzzy art and a two-stage clustering approach to cell design ⋮ The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research ⋮ Fuzzy ART/RRR-RSS: a two-phase neural network algorithm for part-machine grouping in cellular manufacturing ⋮ Two-mode modularity clustering of parts and activities for cell formation problems ⋮ On Adapting Neural Network to Cellular Manufacturing ⋮ Machine-part cell formation using biclustering
Uses Software
Cites Work
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