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Volumn 59, Issue 4, 2010, Pages 929-936

Applying simulated annealing for designing cellular manufacturing systems using MDmTSP

Author keywords

Cellular manufacturing; MDmTSP; Simulated annealing

Indexed keywords

CELL FORMATION; CELL FORMATION PROBLEM; CELL LAYOUT PROBLEM; CELLULAR MANUFACTURING SYSTEMS; DESIGN STEPS; INTRA-CELL MOVE; LAYOUT DESIGNS; MACHINE CELL; MDMTSP; NUMERICAL EXAMPLE; OPERATION SEQUENCES; OPERATIONAL ISSUES; OPTIMAL SOLUTIONS; PART FAMILY; SOLUTION METHODOLOGY; TRAVELLING SALESMAN PROBLEM;

EID: 78049378825     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2010.09.003     Document Type: Article
Times cited : (58)

References (45)
  • 1
    • 56149088303 scopus 로고    scopus 로고
    • A novel approach to determine cell formation, intracellular machine layout and cell layout in the CMS problem based on TOPSIS method
    • A. Ahi, M.B. Aryanezhad, B. Ashtianim, and A. Makui A novel approach to determine cell formation, intracellular machine layout and cell layout in the CMS problem based on TOPSIS method Computers & Operations Research 36 2009 1478 1496
    • (2009) Computers & Operations Research , vol.36 , pp. 1478-1496
    • Ahi, A.1    Aryanezhad, M.B.2    Ashtianim, B.3    Makui, A.4
  • 2
    • 0030216322 scopus 로고    scopus 로고
    • Part-machine grouping using a multi-objective cluster analysis
    • M.S. Akturk, and O. Balkose Part-machine grouping using a multi-objective cluster analysis International Journal of Production Research 34 8 1996 2299 2315
    • (1996) International Journal of Production Research , vol.34 , Issue.8 , pp. 2299-2315
    • Akturk, M.S.1    Balkose, O.2
  • 3
    • 0034631277 scopus 로고    scopus 로고
    • Cellular manufacturing system design using a Holonistic approach
    • M.S. Akturk, and A. Turkcan Cellular manufacturing system design using a Holonistic approach International Journal of Production Research 38 10 2000 2327 2347
    • (2000) International Journal of Production Research , vol.38 , Issue.10 , pp. 2327-2347
    • Akturk, M.S.1    Turkcan, A.2
  • 7
    • 0032419739 scopus 로고    scopus 로고
    • A fast neural-network algorithm for VLSI cell placement
    • C. Aykanat, T. Bultan, and I. Haritaoglu A fast neural-network algorithm for VLSI cell placement Neural Networks 11 1998 1671 1684
    • (1998) Neural Networks , vol.11 , pp. 1671-1684
    • Aykanat, C.1    Bultan, T.2    Haritaoglu, I.3
  • 8
    • 0141776272 scopus 로고
    • Manufacturing cell formation using similarity coefficients and a parallel genetic TSP algorithm: Formulation and comparison
    • J. Balakrishnan, and P.D. Jog Manufacturing cell formation using similarity coefficients and a parallel genetic TSP algorithm: Formulation and comparison Mathematical and Computer Modelling 21 1995 61 73
    • (1995) Mathematical and Computer Modelling , vol.21 , pp. 61-73
    • Balakrishnan, J.1    Jog, P.D.2
  • 9
    • 4944234072 scopus 로고    scopus 로고
    • A meta- heuristic algorithm to solve quadratic assignment formulation of cell formation problems without presetting number of cells
    • A. Baykasoglu A meta- heuristic algorithm to solve quadratic assignment formulation of cell formation problems without presetting number of cells Journal of Intelligent Manufacturing 15 2004 753 759
    • (2004) Journal of Intelligent Manufacturing , vol.15 , pp. 753-759
    • Baykasoglu, A.1
  • 10
  • 11
    • 27744588516 scopus 로고    scopus 로고
    • The multiple traveling salesman problem: An overview of formulations and solution procedures
    • T. Bektas The multiple traveling salesman problem: An overview of formulations and solution procedures Omega 34 2006 209 219
    • (2006) Omega , vol.34 , pp. 209-219
    • Bektas, T.1
  • 12
    • 29144470404 scopus 로고    scopus 로고
    • A new branch-&-bound-enhanced genetic algorithm for the manufacturing cell formation problem
    • M. Boulif, and K. Atif A new branch-&-bound-enhanced genetic algorithm for the manufacturing cell formation problem Computer Operation Research 33 2006 2219 2245
    • (2006) Computer Operation Research , vol.33 , pp. 2219-2245
    • Boulif, M.1    Atif, K.2
  • 15
    • 0022786644 scopus 로고
    • An optimal solution method for large-scale multiple traveling salesmen problems
    • B. Gavish, and K. Srikanth An optimal solution method for large-scale multiple traveling salesmen problems Operations Research 34 5 1986 698 717
    • (1986) Operations Research , vol.34 , Issue.5 , pp. 698-717
    • Gavish, B.1    Srikanth, K.2
  • 16
    • 6344291696 scopus 로고    scopus 로고
    • An evolutionary algorithm for manufacturing cell formation
    • J. Goncalves, and M. Resende An evolutionary algorithm for manufacturing cell formation Computers & Industrial Engineering 47 2004 247 273
    • (2004) Computers & Industrial Engineering , vol.47 , pp. 247-273
    • Goncalves, J.1    Resende, M.2
  • 17
    • 33845334819 scopus 로고    scopus 로고
    • A hybrid grouping genetic algorithm for the cell formation problem
    • T.L. James, E.C. Brown, and K.B. Keeling A hybrid grouping genetic algorithm for the cell formation problem Computers & Operations Research 34 2007 2059 2079
    • (2007) Computers & Operations Research , vol.34 , pp. 2059-2079
    • James, T.L.1    Brown, E.C.2    Keeling, K.B.3
  • 18
    • 33747052327 scopus 로고    scopus 로고
    • Integer linear programming formulations of multiple salesman problems and its variations
    • I. Kara, and T. Bektas Integer linear programming formulations of multiple salesman problems and its variations European Journal of Operational Research 174 2006 1449 1458
    • (2006) European Journal of Operational Research , vol.174 , pp. 1449-1458
    • Kara, I.1    Bektas, T.2
  • 19
    • 33750621453 scopus 로고    scopus 로고
    • Grouping efficiency measures and their impact on factory measures for the machine-part cell formation problem: A simulation study
    • K.B. Keeling, E.C. Brown, and T.L. James Grouping efficiency measures and their impact on factory measures for the machine-part cell formation problem: A simulation study Engineering Applications of Artificial Intelligence 20 2007 63 78
    • (2007) Engineering Applications of Artificial Intelligence , vol.20 , pp. 63-78
    • Keeling, K.B.1    Brown, E.C.2    James, T.L.3
  • 20
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C. Gelatt, and M. Vecchi Optimization by simulated annealing Science 220 4598 1983 671 680
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.2    Vecchi, M.3
  • 21
  • 23
    • 0035840759 scopus 로고    scopus 로고
    • Graph-neural network approach in cellular manufacturing on the basis of a binary system
    • I. Mahdavi, O.P. Kaushal, and M. Chandra Graph-neural network approach in cellular manufacturing on the basis of a binary system International Journal of Production Research 39 13 2001 2913 2922
    • (2001) International Journal of Production Research , vol.39 , Issue.13 , pp. 2913-2922
    • Mahdavi, I.1    Kaushal, O.P.2    Chandra, M.3
  • 24
    • 34249776363 scopus 로고    scopus 로고
    • Designing a new mathematical model for cellular manufacturing system based on cell utilization
    • I. Mahdavi, B. Javadi, K. F.Alipour, and J. Slomp Designing a new mathematical model for cellular manufacturing system based on cell utilization Applied Mathematics and Computation 190 2007 662 670
    • (2007) Applied Mathematics and Computation , vol.190 , pp. 662-670
    • Mahdavi, I.1    Javadi, B.2    Alipour, K.F.3    Slomp, J.4
  • 26
    • 39749085262 scopus 로고    scopus 로고
    • CLASS: An algorithm for cellular manufacturing system and layout design using sequence data
    • I. Mahdavi, and B. Mahadevan CLASS: An algorithm for cellular manufacturing system and layout design using sequence data Robotics and Computer-Integrated Manufacturing 24 2008 488 497
    • (2008) Robotics and Computer-Integrated Manufacturing , vol.24 , pp. 488-497
    • Mahdavi, I.1    Mahadevan, B.2
  • 27
    • 58349114021 scopus 로고    scopus 로고
    • Genetic algorithm approach for solving a cell formation problem in cellular manufacturing
    • I. Mahdavi, M.M. Paydar, M. Solimanpur, and A. Heidarzade Genetic algorithm approach for solving a cell formation problem in cellular manufacturing Expert Systems with Applications 36 2009 6598 6604
    • (2009) Expert Systems with Applications , vol.36 , pp. 6598-6604
    • Mahdavi, I.1    Paydar, M.M.2    Solimanpur, M.3    Heidarzade, A.4
  • 30
    • 0025682904 scopus 로고
    • Multiple routing and capacity considerations in group technology applications
    • R. Nagi, G. Harhalakis, and J.-M. Proth Multiple routing and capacity considerations in group technology applications International Journal of Production Research 28 12 1990 2243 2257
    • (1990) International Journal of Production Research , vol.28 , Issue.12 , pp. 2243-2257
    • Nagi, R.1    Harhalakis, G.2    Proth, J.-M.3
  • 32
    • 0026124209 scopus 로고
    • A branch-and-cut algorithm for the resolution of large-scale symmetric travelling salesman problem
    • M. Padberg, and R. Giovanni A branch-and-cut algorithm for the resolution of large-scale symmetric travelling salesman problem SIAM Review 33 1991 60 100
    • (1991) SIAM Review , vol.33 , pp. 60-100
    • Padberg, M.1    Giovanni, R.2
  • 34
    • 0031629991 scopus 로고    scopus 로고
    • Cell formation in group technology: Review, evaluation and direction for future research
    • H.M. Selim, R.G. Askin, and A.J. Vakharia Cell formation in group technology: Review, evaluation and direction for future research Computers and Industrial Engineering 34 3 1998 3 20
    • (1998) Computers and Industrial Engineering , vol.34 , Issue.3 , pp. 3-20
    • Selim, H.M.1    Askin, R.G.2    Vakharia, A.J.3
  • 36
    • 0031075272 scopus 로고    scopus 로고
    • Application of simulated annealing to a linear model for the formation of machine cells in group technology
    • S. Sofianopoulou Application of simulated annealing to a linear model for the formation of machine cells in group technology International Journal of Production Research 35 1997 501 511
    • (1997) International Journal of Production Research , vol.35 , pp. 501-511
    • Sofianopoulou, S.1
  • 37
    • 0037054899 scopus 로고    scopus 로고
    • A transiently chaotic neural network approach to the design of cellular manufacturing
    • M. Soleymanpour, P. Vrat, and R. Shanker A transiently chaotic neural network approach to the design of cellular manufacturing International Journal of Production Research 40 10 2002 2225 2244
    • (2002) International Journal of Production Research , vol.40 , Issue.10 , pp. 2225-2244
    • Soleymanpour, M.1    Vrat, P.2    Shanker, R.3
  • 38
    • 0032142687 scopus 로고    scopus 로고
    • Multi-objective machine-part cell formation through parallel simulated annealing
    • C.-T. Su, and C.-M. Hsu Multi-objective machine-part cell formation through parallel simulated annealing International Journal of Production Research 36 8 1998 2185 2207
    • (1998) International Journal of Production Research , vol.36 , Issue.8 , pp. 2185-2207
    • Su, C.-T.1    Hsu, C.-M.2
  • 40
    • 0025399180 scopus 로고
    • Designing a cellular manufacturing system: A materials flow approach based on operations sequence
    • A.J. Vakharia, and U. Wemmerlov Designing a cellular manufacturing system: A materials flow approach based on operations sequence IIE Transactions 22 1990 84 97
    • (1990) IIE Transactions , vol.22 , pp. 84-97
    • Vakharia, A.J.1    Wemmerlov, U.2
  • 42
    • 37349104750 scopus 로고    scopus 로고
    • A simulated annealing algorithm for manufacturing cell formation problems
    • T.H. Wu, C.C. Chang, and S.H. Chung A simulated annealing algorithm for manufacturing cell formation problems Expert Systems with Applications 34 2008 1609 1617
    • (2008) Expert Systems with Applications , vol.34 , pp. 1609-1617
    • Wu, T.H.1    Chang, C.C.2    Chung, S.H.3
  • 43
    • 34548244041 scopus 로고    scopus 로고
    • Genetic algorithms for integrating cell formation with machine layout and scheduling
    • X. Wu, C.H. Chu, Y. Wang, and D. Yue Genetic algorithms for integrating cell formation with machine layout and scheduling Computers & Industrial Engineering 53 2007 277 289
    • (2007) Computers & Industrial Engineering , vol.53 , pp. 277-289
    • Wu, X.1    Chu, C.H.2    Wang, Y.3    Yue, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.