Performance of Fuzzy ART neural network for group technology cell formation

References

• BALLAKUR , A. , and STEUDEL , H. , 1987 , A within-cell utilization-based heuristic for designing cellular manufacturing systems . International Journal of Production Research , 25 ( 5 ), 639 – 665 .
   Web of Science ®Google Scholar
• BURBIDGE , J. L. , 1963 , Production flow analysis . Production Engineer , 42 , 742 .
   Google Scholar
• BURBIDGE , J. L. , 1989 , Production Flow Analysis ( Oxford Clarendon ).
   Google Scholar
• BURBIDGE , J. L. , 1992 , Production flow analysis for planning group technology . Journal of Operations Management , 10 ( 1 ), 5 – 27 .
   Google Scholar
• BURKE , L. I. , and KAMAL , S. , 1992 , Fuzzy ART and cellular manufacturing . ANNIE 92 Conference Proceedings , pp. 779 – 784 .
   Google Scholar
• CARPENTER , G. A. , and GROSSBERG , S. , 1987a , A massively parallel architecture for a self-organizing neural pattern recognition machine . Computer Vision, Graphics and Image Processing , 37 , 54 – 115 .
   Google Scholar
• CARPENTER , G. A. , and GROSSBERG , S. , 1987b , ART2 Self-organization of stable category recognition codes for analog input patterns . Applied Optics , 26 , 4919 – 4930 .
   PubMed Web of Science ®Google Scholar
• CARPENTER , G. A. , and GROSSBERG , S. , 1990 , ART3 Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures . Neural Networks , 3 , 129 – 152 .
   Web of Science ®Google Scholar
• CARPENTER , G. A. , GROSSBERG , S. , and ROSEN , D. B. , 1991a , ART2-A An adaptive resonance algorithm for rapid category learning and recognition . Technical Report CAS/CNS-TR- 91 -011 , Boston University , Boston , MA .
   Google Scholar
• CARPENTER , G. A. , GROSSBERG , S. , and ROSEN , D. B. , 1991b , Fuzzy ART Fast stable learning and categorizing of analog patterns by an adaptive resonance system . Neural Networks , 4 , 759 – 771 .
   Web of Science ®Google Scholar
• CHAN , H. M. , and MILNER , D. A. , 1982 , Direct clustering algorithm for group formation in cellular mannufacture . Journal of Manufacturing Systems , 1 ( 1 ), 65 – 75 .
   Google Scholar
• CHANDRASEKHARAN , M. P. , and RAJAGOPALAN , R. , 1986 , MODROC an extension of rank order clustering for group technology . International Journal of Production Research , 24 ( 5 ), 1221 – 1233 .
   Web of Science ®Google Scholar
• CHU , C. H. , 1989 , Clustering analysis in manufacturing cell formation . OMEGA International Journal of Management Science , 17 , 289 – 295 .
   Web of Science ®Google Scholar
• CHU , C. H. , 1993 , Manufacturing cell formation by competitive learning . International Journal of Production Research , 31 ( 4 ), 829 – 843 .
   Web of Science ®Google Scholar
• CHU , C. H. , and TSAI , M. , 1990 , A comparison of three array-based clustering techniques for manufacturing cell formation . International Journal of Production Research , 28 ( 8 ), 1417 – 1433 .
   Web of Science ®Google Scholar
• DAGLI , C. , and HUGGAHALLI , R. , 1991 , Neural network approach to group technology . Knowledge-based Systems and Neural Networks ( New York Elsevier ), pp. 213 – 228 .
   Google Scholar
• KAPARTHI , S. , and SURESH , N. C. , 1991 , A neural network system for shape-based classification and coding of rotational parts . International Journal of Production Research , 29 ( 9 ), 1771 – 1784 .
   Web of Science ®Google Scholar
• KAPARTHI , S. , and SURESH , N. C. , 1992 , Machine-component cell formation in group technology a neural network approach . International Journal of Production Research , 30 ( 6 ), 1353 – 1367 .
   Web of Science ®Google Scholar
• KAPARTHI , S. , SURESH , N. C. , and CERVENY , R. P. , 1993 , An improved neural network leader algorithm for part-machine grouping in group technology . European Journal of Operational Research , 69 , 342 – 356 .
   Web of Science ®Google Scholar
• KING , J. R. , 1980 , Machine-component grouping in production flow analysis an approach using a rank order clustering algorithm . International Journal of Production Research , 18 ( 2 ), 213 – 232 .
   Web of Science ®Google Scholar
• KING , J. R. , and NAKORNCHAI , V. , 1982 , Machine-component group formation in group technology review and extension . International Journal of Production Research , 20 ( 2 ), 117 .
   Web of Science ®Google Scholar
• MALAVE , C. O. , and RAMACHANDRAN , S. , 1991 , A neural network-based design of cellular manufacturing system . Journal of Intelligent Manufacturing , 2 , 305 – 314 .
   Web of Science ®Google Scholar
• MCCORMICK , W. T. , SCHWEITZER , P. J. , and WHITE , T. W. , 1972 , Problem decomposition and data reorganization by a clustering technique . Operations Research , 20 ( 5 ), 992 – 1009 .
   Web of Science ®Google Scholar
• MOON , Y. B. , 1990 , Forming part families for cellular manufacturing a neural network approach . International Journal of Advanced Manufacturing Technology , 5 , 278 – 291 .
   Google Scholar
• MOON , Y. B. , CHI , S. G. , 1992 , Generalized part family formation using neural network techniques . Journal of Manufacturing Systems , 11 ( 3 ), 149 – 159 .
   Web of Science ®Google Scholar
• MOON , Y. B. , and ROY , U. , 1992 , Learning group technology part families from solid models by parallel distributed processing . International Journal of Advanced Manufacturing Technology , 7 , 109 – 118 .
   Google Scholar
• MOSIER , C. T. , 1989 , An experiment investigating the application of clustering procedures and similarity coefficients to the GT machine cell formation problem . International Journal of Production Research , 27 , 1811 .
   Web of Science ®Google Scholar
• RIKKEN , H. , and SLOMP , J. , 1992 , Research Report Testing the neural network approach of Kaparthi and Suresh . Department of Mechanical Engineering, Univeristy of Twente , The Netherlands .
   Google Scholar
• SURESH , N. C. , 1991 , Partitioning work centers for group technology Insights from an analytical model . Decision Sciences , 22 ( 4 ), 772 – 791 .
   Web of Science ®Google Scholar
• SURESH , N. C. , 1992 , Partitioning work centers for group technology Analytical extension and shop-level simulation investigation . Decision Sciences , 32 ( 2 ), 267 – 290 .
   Web of Science ®Google Scholar
• SURESH , N. C. , and MEREDITH , J. R. , forthcoming, Coping with the loss or pooling synergy in cellular manufacturing systems . Management Science .
   Google Scholar
• VENUGOPAL , V. , and NARENDRAN , T. T. , 1992 , A neural network approach for designing cellular manufacturing systems . Advances in Modelling and Analysis ( AMSE Press ), 32 ( 2 ), 13 – 26 .
   Google Scholar
• WEI , J. , and GAITHER , N. , 1990 , An optimal model for cell formation decisions . Decision Sciences , 21 ( 2 ), 416 – 433 .
   Web of Science ®Google Scholar