Generalized Utilization-Based Similarity Coefficient for Machine-Part Grouping Problem in Cellular Manufacturing

[1]  Asoo J. Vakharia,et al.  A comparative investigation of hierarchical clustering techniques and dissimilarity measures applied to the cell formation problem , 1995 .

[2]  Manojit Chattopadhyay,et al.  Neuro-genetic impact on cell formation methods of Cellular Manufacturing System design: A quantitative review and analysis , 2013, Comput. Ind. Eng..

[3]  G. Nair Accord: A bicriterion algorithmfor cell formation using ordinal and ratio-level data , 1999 .

[4]  Kristian Martinsen,et al.  Development and correlation analysis of non-dominated sorting buffalo optimization NSBUF II using Taguchi's design coupled gray relational analysis and ANN , 2019, Appl. Soft Comput..

[5]  John M. Wilson,et al.  The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research , 2010, Eur. J. Oper. Res..

[6]  John McAuley,et al.  Machine grouping for efficient production , 1972 .

[7]  Larry R. Taube,et al.  Weighted similarity measure heuristics for the group technology machine clustering problem , 1985 .

[8]  A. Kusiak The generalized group technology concept , 1987 .

[9]  John L. Burbidge AIDA and group technology , 1973 .

[10]  R. Sudhakara Pandian,et al.  Genetic cell formation using ratio level data in cellular manufacturing systems , 2008 .

[11]  Tarun Gupta Design of manufacturing cells for flexible environment considering alternative routeing , 1993 .

[12]  N. Wu A concurrent approach to cell formation and assignment of identical machines in group technology , 1998 .

[13]  Yi Xu,et al.  Designing multi-product lines: job routing in cellular manufacturing systems , 2000 .

[14]  S.G. Ponnambalam,et al.  Cell formation with workload data in cellular manufacturing system using genetic algorithm , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[15]  Allan S. Carrie,et al.  Numerical taxonomy applied to group technology and plant layout , 1973 .

[16]  P. Waghodekar,et al.  Machine-component cell formation in group technology: MACE , 1984 .

[17]  Harold J. Steudel,et al.  A within-cell utilization based heuristic for designing cellular manufacturing systems , 1987 .

[18]  Asoo J. Vakharia,et al.  Cell formation in group technology: review, evaluation and directions for future research , 1998 .

[19]  Yong Yin,et al.  Application Similarity Coefficient Method to Cellular Manufacturing , 2006 .

[20]  Oliver R. Ilic An e-Learning tool considering similarity measures for manufacturing cell formation , 2012, Journal of Intelligent Manufacturing.

[21]  Philip M. Wolfe,et al.  Application of the Similarity Coefficient Method in Group Technology , 1986 .

[22]  G. Srinivasan,et al.  GRAFICS—a nonhierarchical clustering algorithm for group technology , 1991 .

[23]  C. Mosier An experiment investigating the application of clustering procedures and similarity coefficients to the GT machine cell formation problem , 1989 .

[24]  Ming Liang,et al.  Erratum to "A new genetic algorithm for the machine/part grouping problem involving processing times and lot sizes" [Computers & Industrial Engineering 45 (4) (2003) 713-731] , 2004, Comput. Ind. Eng..

[25]  Yong Yin,et al.  Similarity coefficient methods applied to the cell formation problem: a comparative investigation , 2005, Comput. Ind. Eng..

[26]  M. Chandrasekharan,et al.  ZODIAC—an algorithm for concurrent formation of part-families and machine-cells , 1987 .

[27]  Bhaba R. Sarker,et al.  The resemblance coefficients in group technology: a survey and comparative study of relational metrics , 1996 .

[28]  Christos Dimopoulos,et al.  A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems , 2001 .

[29]  Harold J. Steudel,et al.  A dynamic programming based heuristic for machine grouping in manufacturing cell formation , 1987 .

[30]  Masoud Rabbani,et al.  Reconfigurable Dynamic Cellular Manufacturing System: A New Bi-Objective Mathematical Model , 2014, RAIRO Oper. Res..

[31]  H. Seifoddini,et al.  Merits of the production volume based similarity coefficient in machine cell formation , 1995 .

[32]  M. Chandrasekharan,et al.  MODROC: an extension of rank order clustering for group technology , 1986 .

[33]  Warren J. Boe,et al.  DESIGNING CELLULAR MANUFACTURING SYSTEMS: BRANCH-AND-BOUND AND A∗ APPROACHES , 1993 .

[34]  Nancy Lea Hyer,et al.  Research issues in cellular manufacturing , 1987 .

[35]  H. Charles Romesburg,et al.  Cluster analysis for researchers , 1984 .

[36]  G. Srinivasan A clustering algorithm for machine cell formation in group technology using minimum spanning trees , 1994 .

[37]  Biswanath Doloi,et al.  Utilization-based grouping efficiency and multi-criteria decision approach in designing of manufacturing cells , 2017 .

[38]  Pranab K. Dan,et al.  Fuzzy ART K-Means Clustering Technique: a hybrid neural network approach to cellularmanufacturing systems , 2011, Int. J. Comput. Integr. Manuf..

[39]  Kristian Martinsen,et al.  Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant , 2019, WCGO.

[40]  Hamid Seifoddini,et al.  Single linkage versus average linkage clustering in machine cells formation applications , 1989 .

[41]  T. T. Narendran,et al.  Cell formation in manufacturing systems through simulated annealing: An experimental evaluation , 1992 .

[42]  J. King Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm , 1980 .

[43]  T. T. Narendran,et al.  CASE: A clustering algorithm for cell formation with sequence data , 1998 .

[44]  Ramasamy Panneerselvam,et al.  A Comparative Investigation of Similarity Coefficients Applied to the Cell Formation Problem using Hybrid Clustering Algorithms , 2018 .

[45]  Soumyadip Ghosh,et al.  An analytical-iterative clustering algorithm for cell formation in cellular manufacturing systems with ordinal-level and ratio-level data , 2003 .