Group technology by an ant system algorithm

References

• Askin RG Standrige CR Modeling and Analysis of Manufacturing Systems 1993 Wiley New York
   Google Scholar
• Beatty CA Implementing advanced manufacturing technologies: rules of the road Sloan Management Review 1992 Summer 49 60
   Google Scholar
• Boe , WJ and Cheng , CH . 1991 . A close neighbor algorithm for designing cellular manufacturing systems . Int. J. Prod. Res. , 29 : 2097 – 2116 .
   Web of Science ®Google Scholar
• Boktor , F . 1991 . A linear formulation of the machine–part cell formation problem . Int. J. Prod. Res. , 29 : 343 – 356 .
   Google Scholar
• Bullnheimer B Kotsis G Strauss C Parallelization strategies for the Ant System Selected Papers of High Performance Software for Nonlinear Optimization: Status and Perspectives HPSNO’97, edited by Murli, Pardalos and Toraldo, Kluwer Series in Applied Optimization 1997 Kluwer Dordrecht
   Google Scholar
• Burbidge , JL . 1977 . A manual method for production flow analysis . The Prod. Eng. , 57 : 34 – 38 .
   Google Scholar
• Burbidge , JL . 1992 . Change to group technology: process organization is obsolete . Int. J. Prod. Res. , 30 : 1209 – 1219 .
   Web of Science ®Google Scholar
• Burges , AG , Morgan , I and Vollmann , TE . 1993 . Cellular manufacturing: its impact on total factory . Int. J. Prod. Res. , 31 : 2059 – 2077 .
   Web of Science ®Google Scholar
• Carrie , A . 1973 . Numerical taxonomy applied to group technology and plant layout . Int. J. Prod. Res. , 11 : 399 – 416 .
   Google Scholar
• Chan , HW and Milner , DA . 1982 . Direct clustering algorithm for group formation in cellular manufacture . J. Manuf. Sys. , 1 : 65 – 74 .
   Google Scholar
• Chandrasekharan , MP and Rajagopalan , R . 1987 . ZODIAC—an algorithm for concurrent formation of part-families and machine-cells . Int. J. Prod. Res. , 26 : 835 – 850 .
   Google Scholar
• Chandrasekharan , MP and Rajagopalan , R . 1989 . GROUPABILITY: an analysis of the properties of binary data matrices for group technology . Int. J. Prod. Res. , 27 : 1035 – 1052 .
   Web of Science ®Google Scholar
• Chow , WS and Hawaleshka . 1993 . A novel machine grouping and knowledge-based approach for cellular manufacturing . Euro. J. Oper. Res. , 69 : 357 – 375 .
   Google Scholar
• Chu , CH . 1993 . Manufacturing cell formation by competitive learning . Int. J. Prod. Res. , 31 : 829 – 843 .
   Web of Science ®Google Scholar
• Chu , CH and Hayya , JC . 1991 . A fuzzy clustering approach to manufacturing cell formation . Int. J. Prod. Res. , 29 : 1475 – 1487 .
   Web of Science ®Google Scholar
• Colorni A Dorigo M Maniezzo V Distributed optimization by ant colonies European Conference on Artificial Life, Paris, Elsevier Amsterdam 1991 pp. 134–142
   Google Scholar
• Da Silveira G A methodology of implementation of cellular manufacturing Int. J. Prod. Res. 1999 467 479
   Google Scholar
• De Witte , I . 1980 . The use of similarity coefficients in production flow analysis . Int. J. Prod. Res. , 18 : 503 – 514 .
   Web of Science ®Google Scholar
• Dorigo , M , di Caro , G and Gambardella , LM . 1999 . Ant algorithms for discrete optimization . Artificial Life , 5 : 137 – 172 .
   PubMed Web of Science ®Google Scholar
• Dorigo M Gambardella LM A study of some properties of Ant-Q PPSN—Fourth International Conference on Parallel Problem Solving from Nature edited by Voigt, Ebeling, Rechenberg and Schwefel Springer Berlin 1996 pp. 656–665
   Google Scholar
• Dorigo M Maniezzo V Colorni A Positive feedback as a search strategy Technical Report 91-016, Laboratorio di Calcolatori, Dipartimento di Elettronica Politechnico di Milano 1991
   Google Scholar
• Dorigo , M , Maniezzo , V and Colorni , A . 1996 . The Ant System: optimization by a colony of cooperating agents . IEEE Trans. Syst., Man, and Cybernetics—Part B , 26 : 1 – 13 .
   PubMed Web of Science ®Google Scholar
• Ferreira , JF and Pradin , B . 1993 . A methodology for cellular manufacturing design . Int. J. Prod. Res. , 31 : 235 – 250 .
   Google Scholar
• Gallagher CC Knight WA Group Technology Production Methods in Manufacture 1986 Wiley New York
   Google Scholar
• Glover , F . 1990 . Tabu search: a tutorial . Interfaces , 20 : 74 – 94 .
   Web of Science ®Google Scholar
• Glover , F and Greenberg , HJ . 1989 . New approaches for heuristic search: a bilateral linkage with artificial intelligence . Euro. J. Op. Res. , 39 : 119 – 130 .
   Web of Science ®Google Scholar
• Groover MP Automation, Production Systems and CIM 1987 Prentice Hall International Engelwood Cliff NJ
   Google Scholar
• Heragu , SS . 1994 . Group technology and cellular manufacturing . Trans. Syst., Man and Cybernetics , 24 : 203 – 215 .
   Web of Science ®Google Scholar
• Islam , KM and Sarker , RB . 1999 . A similarity coefficient measure and machine–parts grouping in cellular manufacturing systems . Int. J. Prod. Res. , 38 : 699 – 720 .
   Google Scholar
• Islier , AA . 2001 . Forming manufacturing cells by using a genetic algorithm . Anadolu Univ. J. Sci. Tech. , 2 : 137 – 157 .
   Google Scholar
• Kamrani , AK and Parsei , HR . 1992 . A methodology for forming manufacturing cells using manufacturing and design attributes . Comp. Industr. Eng. , 23 : 73 – 76 .
   Google Scholar
• Kaparthi , S and Suresh , NC . 1990 . Machine–component cell formation in GT: a neural network approach . Int. J. Prod. Res. , 30 : 1353 – 1367 .
   Google Scholar
• Kaparthi , S , Suresh , NC and Cerveny , RP . 1993 . An improved neural network leader algorithm for part–machine grouping in GT . Euro. J. Op. Res. , 69 : 342 – 356 .
   Web of Science ®Google Scholar
• King , JR and Nakornchai , V . 1982 . Machine component group formation in group technology—review and extension . Int. J. Prod. Res. , 20 : 117
   Web of Science ®Google Scholar
• Kotter JP Leading change: why transformation efforts fail Harvard Business Review 1995 March–April 59 67
   Google Scholar
• Kumar , CS and Chandrasekharan , MP . 1990 . Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology . Int. J. Prod. Res. , 28 : 233 – 243 .
   Web of Science ®Google Scholar
• Kumar , KR and Vannelli , A . 1987 . Strategic subcontracting for efficient disaggregated manufacturing . Int. J. Prod. Res. , 25 : 1715 – 1728 .
   Web of Science ®Google Scholar
• Lee , H and Diaz , G . 1993 . A network flow approach to solve clustering problems in GT . Int. J. Prod. Res. , 31 : 603 – 612 .
   Web of Science ®Google Scholar
• Marsh , RF , Shafer , SM and Meredith , JR . 1999 . A comparison of cellular manufacturing research presumptions with practice . Int. J. Prod. Res. , 37 : 3119 – 3138 .
   Web of Science ®Google Scholar
• McAuley , J . 1972 . Machine grouping for effective production . The Prod. Eng. , 52 : 53 – 57 .
   Google Scholar
• Morris , JS and Tersine , RJ . 1990 . A simulation analysis of factors influencing the attractiveness of group technology and cellular layouts . Manage. Sci. , 36 : 1567 – 1578 .
   Web of Science ®Google Scholar
• Purcheck , G . 1975 . A mathematical classification as a basis for design of group technology production cells . Prod. Eng. , 54 : 34
   Google Scholar
• Purcheck , G . 1985 . Machine–component group formation: an heuristic method for flexible production cells and FMS . Int. J. Prod. Res. , 23 : 911 – 943 .
   Web of Science ®Google Scholar
• Rajagopalan , R and Batra , JL . 1975 . Design of cellular production systems—a graph theoretic approach . Int. J. Prod. Res. , 13 : 567
   Google Scholar
• Sarker , BR and Mondal , S . 1999 . Grouping efficiency measures of cellular manufacturing . Int. J. Prod. Res. , 37 : 285 – 314 .
   Web of Science ®Google Scholar
• Sarker , RB and Saiful Islam , KM . 1999 . Relative performances of similarity and dissimilarity measures . Comp. and Ind. Eng. , 37 : 769 – 807 .
   Web of Science ®Google Scholar
• Seifoddini , H . 1990 . Machine–component group analysis versus the similarity coefficient method in cellular manufacturing applications . Comp. Ind. Eng. , 18 : 333 – 339 .
   Google Scholar
• Seifoddini , H and Tjahjana , B . 1999 . Part-family formation for cellular manufacturing: a case study at Harnishfeger . Int. J. Prod. Res. , 37 : 3263 – 3273 .
   Web of Science ®Google Scholar
• Shafer , SM and Rogers , DF . 1993 . Similarity and distance measures for cellular manufacturing Part I . Int. J. Prod. Res. , 31 : 1133 – 1142 .
   Web of Science ®Google Scholar
• Singh , N . 1993 . Design of cellular manufacturing systems: an invited review . Euro. J. Op. Res. , 69 : 284 – 291 .
   Web of Science ®Google Scholar
• Sofianopoulou , S . 1999 . Manufacturing cells design with alternative process plans and/or replicate machines . Int. J. Prod. Res. , 37 : 707 – 720 .
   Web of Science ®Google Scholar
• Tam , KY . 1992 . A simulated annealing algorithm for allocating space to manufacturing cells . Int. J. Prod. Res. , 30 : 63 – 87 .
   Web of Science ®Google Scholar
• Venugopal , V . 1999 . Soft-computing-based approaches to group technology problem: a state-of-the-art review . Int. J. Prod. Res. , 37 : 3335 – 3357 .
   Web of Science ®Google Scholar
• Venugopal , V and Narendran , TT . 1992 . A genetic algorithm approach to the machine–component grouping problem . Comp. and Ind. Eng. , 22 : 469 – 480 .
   Web of Science ®Google Scholar
• Venugopal , V and Narendran , TT . 1994 . Machine cell formation through neural network model . Int. J. Prod. Res. , 32 : 2105 – 2116 .
   Web of Science ®Google Scholar
• Waghodekar , PH and Sahu , S . 1984 . Machine–component cell formation in group technology: MACE . Int. J. Prod. Res. , 22 : 937
   Web of Science ®Google Scholar
• Wemmerlov , V and Hyer , NL . 1989 . Cellular manufacturing in US industry: a survey of users . Int. J. Prod. Res. , 27 : 1511 – 1530 .
   Web of Science ®Google Scholar
• Zhao , C and Wu , Z . 2000 . A genetic algorithm for cell formation with multiple routes and multiple objectives . Int. J. Prod. Res. , 38 : 385 – 395 .
   Web of Science ®Google Scholar
• Zolfaghari , S and Liang , M . 2002 . Comparative study of simulated annealing, genetic algorithms and tabu search for binary and comprehensive machine-grouping problems . Int. J. Prod. Res. , 40 : 2141 – 2158 .
   Web of Science ®Google Scholar