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Volumn 12, Issue 4, 2013, Pages 237-251

Designing a layout using the modified triangle method, and genetic algorithms

Author keywords

Facility Layout Problem; Genetic Algorithms; Triangle Method

Indexed keywords


EID: 84893114585     PISSN: 17264529     EISSN: None     Source Type: Journal    
DOI: 10.2507/IJSIMM12(4)3.244     Document Type: Article
Times cited : (24)

References (43)
  • 1
    • 5144223230 scopus 로고    scopus 로고
    • Genetic algorithm for facilities layout problems based on slicing tree structure
    • doi:10.1080/00207540410001716471
    • Shayan, E.; Chittilappilly, A. (2004). Genetic algorithm for facilities layout problems based on slicing tree structure, International Journal of Production Research, Vol. 42, No. 19, 4055-4067, doi:10.1080/00207540410001716471
    • (2004) International Journal of Production Research , vol.42 , Issue.19 , pp. 4055-4067
    • Shayan, E.1    Chittilappilly, A.2
  • 4
    • 0032098010 scopus 로고    scopus 로고
    • A genetic algorithm approach for multiple criteria facility layout design
    • doi:10.1080/ 002075498193165
    • Islier, A. A. (1998). A genetic algorithm approach for multiple criteria facility layout design, International Journal of Production Research, Vol. 36, No. 6, 1549-1569, doi:10.1080/ 002075498193165
    • (1998) International Journal of Production Research , vol.36 , Issue.6 , pp. 1549-1569
    • Islier, A.A.1
  • 5
    • 0023364439 scopus 로고    scopus 로고
    • The facility layout problem
    • doi:10.1016/0377-2217(87)90238-4
    • Kusiak, A.; Heragu, S. S. (1997). The facility layout problem, European Journal of Operational Research, Vol. 29, No. 3, 229-251, doi:10.1016/0377-2217(87)90238-4
    • (1997) European Journal of Operational Research , vol.29 , Issue.3 , pp. 229-251
    • Kusiak, A.1    Heragu, S.S.2
  • 7
    • 84855933286 scopus 로고    scopus 로고
    • Ergonomic design knowledge built in the intelligent decision support system
    • doi:10.1016/j.ergon.2011.11.009
    • Kaljun, J.; Dolsak, B. (2012). Ergonomic design knowledge built in the intelligent decision support system, International Journal of Industrial Ergonomics, Vol. 42, No. 1, 162-171, doi:10.1016/j.ergon.2011.11.009
    • (2012) International Journal of Industrial Ergonomics , vol.42 , Issue.1 , pp. 162-171
    • Kaljun, J.1    Dolsak, B.2
  • 9
    • 80051946106 scopus 로고    scopus 로고
    • Human cognition as an intelligent decision support system for plastic products' design
    • doi:10.1016/j.eswa.2010.04.005
    • Sancin, U.; Dobravc, M.; Dolsak, B. (2010). Human cognition as an intelligent decision support system for plastic products' design, Expert Systems with Applications, Vol. 37, No. 10, 7227-7233, doi:10.1016/j.eswa.2010.04.005
    • (2010) Expert Systems With Applications , vol.37 , Issue.10 , pp. 7227-7233
    • Sancin, U.1    Dobravc, M.2    Dolsak, B.3
  • 10
    • 84893063529 scopus 로고    scopus 로고
    • Fault detection and fault tolerance methods for industrial robot manipulators based on hybrid intelligent approach
    • Dev Anand, M.; Selvaraj, T.; Kumanan, S. (2012). Fault detection and fault tolerance methods for industrial robot manipulators based on hybrid intelligent approach, Advances in Production Engineering & Management, Vol. 7, No. 4, 225-236
    • (2012) Advances In Production Engineering & Managemen , vol.7 , Issue.4 , pp. 225-236
    • Dev Anand, M.1    Selvaraj, T.2    Kumanan, S.3
  • 11
    • 0037352881 scopus 로고    scopus 로고
    • Evolutionary approaches to the design and organization of manufacturing systems
    • Pierreval, H.; Caux, C.; Paris, J. L.; Viguier, F. (2003). Evolutionary approaches to the design and organization of manufacturing systems, Computers & Industrial Engineering, Vol. 44, No. 3, 339-364, doi:10.1016/S0360-8352(02)00195-X
    • (2003) Computers & Industrial Engineering , vol.44 , Issue.3 , pp. 339-364
    • Pierreval, H.1    Caux, C.2    Paris, J.L.3    Viguier, F.4
  • 14
    • 84945709501 scopus 로고
    • Outline for a logical theory of adaptive systems
    • doi:10.1145/321127.321128
    • Holland, J. H. (1962). Outline for a logical theory of adaptive systems, Journal of the ACM, Vol. 9, No. 3, 297-314, doi:10.1145/321127.321128
    • (1962) Journal of the ACM , vol.9 , Issue.3 , pp. 297-314
    • Holland, J.H.1
  • 16
    • 79954610189 scopus 로고    scopus 로고
    • Comparison of genetic and bees algorithm in the finite element model update
    • Sedlar, D.; Lozina, Z.; Vucina, D. (2011). Comparison of genetic and bees algorithm in the finite element model update, Transactions of FAMENA, Vol. 35, No. 1, 1-13
    • (2011) Transactions of FAMENA , vol.35 , Issue.1 , pp. 1-13
    • Sedlar, D.1    Lozina, Z.2    Vucina, D.3
  • 18
    • 0031122888 scopus 로고    scopus 로고
    • Evolutionary computation: Comments on the history and current state
    • doi:10.1109/4235.585888
    • Bäck, T.; Hammel, U.; Schwefel, H.-P. (1997). Evolutionary computation: comments on the history and current state, IEEE Transactions on Evolutionary Computation, Vol. 1, No. 1, 3-17, doi:10.1109/4235.585888
    • (1997) IEEE Transactions On Evolutionary Computation , vol.1 , Issue.1 , pp. 3-17
    • Bäck, T.1    Hammel, U.2    Schwefel, H.-P.3
  • 19
    • 85028857450 scopus 로고
    • An overview of evolutionary computation
    • Brazdil, P. (Ed.), ECML-93, Springer-Verlag, Berlin
    • Spears, W. M.; De Jong, K. A.; Bäck, T.; Fogel, D. B.; de Garis, H. (1993). An overview of evolutionary computation, Brazdil, P. (Ed.), Machine Learning: ECML-93, Springer-Verlag, Berlin, 442-459
    • (1993) Machine Learning , pp. 442-459
    • Spears, W.M.1    de Jong, K.A.2    Bäck, T.3    Fogel, D.B.4    de Garis, H.5
  • 20
    • 77949830406 scopus 로고    scopus 로고
    • Task scheduling of AGV in FMS using non-traditional optimization techniques
    • doi:10.2507/IJSIMM09(1)3.139
    • Udhayakumar, P.; Kumanan, S. (2010). Task scheduling of AGV in FMS using non-traditional optimization techniques, International Journal of Simulation Modelling, Vol. 9, No. 1, 28-39, doi:10.2507/IJSIMM09(1)3.139
    • (2010) International Journal of Simulation Modelling , vol.9 , Issue.1 , pp. 28-39
    • Udhayakumar, P.1    Kumanan, S.2
  • 21
    • 0026979059 scopus 로고
    • Genetic algorithms, function optimization, and facility layout design
    • doi:10.1016/0377-2217(92)90034-7
    • Tam, K. Y. (1992). Genetic algorithms, function optimization, and facility layout design, European Journal of Operational Research, Vol. 63, No. 2, 322-346, doi:10.1016/0377-2217(92)90034-7.
    • (1992) European Journal of Operational Research , vol.63 , Issue.2 , pp. 322-346
    • Tam, K.Y.1
  • 22
    • 0032596130 scopus 로고    scopus 로고
    • An iterative facility layout algorithm
    • doi:10.1080/002075499190022
    • Gau, K.-Y.; Meller, R. D. (1999). An iterative facility layout algorithm, International Journal of Production Research, Vol. 37, No. 16, 3739-3758, doi:10.1080/002075499190022
    • (1999) International Journal of Production Research , vol.37 , Issue.16 , pp. 3739-3758
    • Gau, K.-Y.1    Meller, R.D.2
  • 23
    • 0028368302 scopus 로고
    • A genetic approach to the quadratic assignment problem
    • doi:10.1016/0305-0548(93)E0020-T
    • Tate, D. M.; Smith, A. E. (1995). A genetic approach to the quadratic assignment problem, Computers & Operations Research, Vol. 22, No. 1, 73-83, doi:10.1016/0305-0548(93)E0020-T
    • (1995) Computers & Operations Research , vol.22 , Issue.1 , pp. 73-83
    • Tate, D.M.1    Smith, A.E.2
  • 24
    • 0001057981 scopus 로고
    • A genetic algorithm for facility layout
    • doi:10.1080/00207549508904881
    • Suresh, G.; Vinod, V. V.; Sahu, S. (1995). A genetic algorithm for facility layout, International Journal of Production Research, Vol. 33, No. 12, 3411-3423, doi:10.1080/00207549508904881
    • (1995) International Journal of Production Research , vol.33 , Issue.12 , pp. 3411-3423
    • Suresh, G.1    Vinod, V.V.2    Sahu, S.3
  • 25
    • 0032294137 scopus 로고    scopus 로고
    • Solving facility layout problems with geometric constraints using parallel genetic algorithms: Experimentation and findings
    • doi:10.1080/002075498192058
    • Tam, K. Y. (1998). Solving facility layout problems with geometric constraints using parallel genetic algorithms: experimentation and findings, International Journal of Production Research, Vol. 36, No. 12, 3253-3272, doi:10.1080/002075498192058
    • (1998) International Journal of Production Research , vol.36 , Issue.12 , pp. 3253-3272
    • Tam, K.Y.1
  • 26
    • 0034694502 scopus 로고    scopus 로고
    • Facility layout optimisation using simulation and genetic algorithms
    • doi:10.1080/00207540050205154
    • Azadivar, F.; Wang, J. (2000). Facility layout optimisation using simulation and genetic algorithms, International Journal of Production Research, Vol. 38, No. 17, 4369-4383, doi:10.1080/00207540050205154
    • (2000) International Journal of Production Research , vol.38 , Issue.17 , pp. 4369-4383
    • Azadivar, F.1    Wang, J.2
  • 27
    • 0036466945 scopus 로고    scopus 로고
    • The optimisation of block layout and aisle structure by a genetic algorithm
    • doi:10.1016/S0360-8352(01)00063-8
    • Wu, Y.; Appleton, E. (2002). The optimisation of block layout and aisle structure by a genetic algorithm, Computers & Industrial Engineering, Vol. 41, No. 4, 371-387, doi:10.1016/S0360-8352(01)00063-8
    • (2002) Computers & Industrial Engineering , vol.41 , Issue.4 , pp. 371-387
    • Wu, Y.1    Appleton, E.2
  • 28
    • 0034691901 scopus 로고    scopus 로고
    • On solving facility layout problems using genetic algorithms
    • doi:10.1080/00207540050031922
    • Al-Hakim, L. (2000). On solving facility layout problems using genetic algorithms, International Journal of Production Research, Vol. 38, No. 11, 2573-2582, doi:10.1080/00207540050031922
    • (2000) International Journal of Production Research , vol.38 , Issue.11 , pp. 2573-2582
    • Al-Hakim, L.1
  • 29
    • 0032134718 scopus 로고    scopus 로고
    • Dynamic layout algorithms: A state-of-the-art survey
    • doi:10.1016/S0305-0483(97)00078-9
    • Balakrishnan, J.; Cheng, C. H. (1998). Dynamic layout algorithms: a state-of-the-art survey, Omega, Vol. 26, No. 4, 507-521, doi:10.1016/S0305-0483(97)00078-9
    • (1998) Omega , vol.26 , Issue.4 , pp. 507-521
    • Balakrishnan, J.1    Cheng, C.H.2
  • 30
    • 0034003451 scopus 로고    scopus 로고
    • Genetic search and the dynamic layout problem
    • doi:10.1016/S0305-0548(99)00052-0
    • Balakrishnan, J.; Cheng, C. H. (2000). Genetic search and the dynamic layout problem, Computers & Operations Research, Vol. 27, No. 6, 587-593, doi:10.1016/S0305-0548(99)00052-0
    • (2000) Computers & Operations Research , vol.27 , Issue.6 , pp. 587-593
    • Balakrishnan, J.1    Cheng, C.H.2
  • 31
    • 0141843680 scopus 로고    scopus 로고
    • A hybrid genetic algorithm for the dynamic plant layout problem
    • doi:10.1016/S0925-5273(03)00027-6
    • Balakrishnan, J.; Cheng, C. H.; Conway, D. G.; Lau, C. M. (2003). A hybrid genetic algorithm for the dynamic plant layout problem, International Journal of Production Economics, Vol. 86, No. 2, 107-120, doi:10.1016/S0925-5273(03)00027-6
    • (2003) International Journal of Production Economics , vol.86 , Issue.2 , pp. 107-120
    • Balakrishnan, J.1    Cheng, C.H.2    Conway, D.G.3    Lau, C.M.4
  • 32
    • 12344302133 scopus 로고    scopus 로고
    • Combining evolutionary computation and dynamic programming for solving a dynamic facility layout problem
    • doi:10.1016/j.ejor.2003.01.002
    • Dunker, T.; Radons, G.; Westkamper, E. (2005). Combining evolutionary computation and dynamic programming for solving a dynamic facility layout problem, European Journal of Operational Research, Vol. 165, No. 1, 55-69, doi:10.1016/j.ejor.2003.01.002
    • (2005) European Journal of Operational Research , vol.165 , Issue.1 , pp. 55-69
    • Dunker, T.1    Radons, G.2    Westkamper, E.3
  • 34
    • 0032117233 scopus 로고    scopus 로고
    • HOPE: A genetic algorithm for the unequal area facility layout problem
    • doi:10.1016/S0305-0548(97)00100-7
    • Kochhar, J. S.; Foster, B. T.; Heragu, S. S. (1998). HOPE: A genetic algorithm for the unequal area facility layout problem, Computers & Operations Research, Vol. 25, No. 7-8, 583-594, doi:10.1016/S0305-0548(97)00100-7
    • (1998) Computers & Operations Research , vol.25 , Issue.7-8 , pp. 583-594
    • Kochhar, J.S.1    Foster, B.T.2    Heragu, S.S.3
  • 35
    • 0032314483 scopus 로고    scopus 로고
    • Facilities layout design by genetic algorithms
    • doi:10.1016/S0360-8352(98)00150-8
    • Tavakkoli-Moghaddain, R.; Shayan, E. (1998). Facilities layout design by genetic algorithms, Computers & Industrial Engineering, Vol. 35, No. 3-4, 527-530, doi:10.1016/S0360-8352(98)00150-8
    • (1998) Computers & Industrial Engineering , vol.35 , Issue.3-4 , pp. 527-530
    • Tavakkoli-Moghaddain, R.1    Shayan, E.2
  • 36
    • 0037211463 scopus 로고    scopus 로고
    • An improved genetic algorithm for facility layout problems having inner structure walls and passages
    • doi:10.1016/S0305-0548(01)00085-5
    • Lee, K.-Y.; Han, S.-N.; Roh, M.-I. (2003). An improved genetic algorithm for facility layout problems having inner structure walls and passages, Computers & Operations Research, Vol. 30, No. 1, 117-138, doi:10.1016/S0305-0548(01)00085-5
    • (2003) Computers & Operations Research , vol.30 , Issue.1 , pp. 117-138
    • Lee, K.-Y.1    Han, S.-N.2    Roh, M.-I.3
  • 37
    • 0033101918 scopus 로고    scopus 로고
    • Development and validation of genetic algorithm-based facility layout - a case study in the pharmaceutical industry
    • doi:10.1080/002075499191508
    • Hamamoto, S. (1999). Development and validation of genetic algorithm-based facility layout - a case study in the pharmaceutical industry, International Journal of Production Research, Vol. 37, No. 4, 749-768, doi:10.1080/002075499191508
    • (1999) International Journal of Production Research , vol.37 , Issue.4 , pp. 749-768
    • Hamamoto, S.1
  • 38
    • 3543060585 scopus 로고
    • Analysis of different transport solutions in the flexible manufacturing cell by using computer simulation
    • doi:10.1108/01443579510090336
    • Polajnar, A.; Buchmeister, B.; Leber, M. (1995). Analysis of different transport solutions in the flexible manufacturing cell by using computer simulation, International Journal of Operations & Production Management, Vol. 15, No. 6, 51-58, doi:10.1108/01443579510090336
    • (1995) International Journal of Operations & Production Management , vol.15 , Issue.6 , pp. 51-58
    • Polajnar, A.1    Buchmeister, B.2    Leber, M.3
  • 40
    • 21444438033 scopus 로고    scopus 로고
    • Genetic algorithms, selection schemes, and the varying effects of noise
    • doi:10.1162/ evco.1996.4.2.113
    • Miller, B. L.; Goldberg, D. E. (1996). Genetic algorithms, selection schemes, and the varying effects of noise, Evolutionary Computation, Vol. 4, No. 2, 113-131, doi:10.1162/ evco.1996.4.2.113
    • (1996) Evolutionary Computation , vol.4 , Issue.2 , pp. 113-131
    • Miller, B.L.1    Goldberg, D.E.2
  • 42
    • 84893069057 scopus 로고    scopus 로고
    • from
    • Prêt, U. (2012). Fabrikplanung (Übung), from: http://www.uwe-pret.de/fabrikplanung/skripte/ stapel3/getriebe.pdf, accessed on 04-01-2012
    • (2012) Fabrikplanung (Übung)
    • Prêt, U.1
  • 43
    • 75749141220 scopus 로고    scopus 로고
    • Intelligent design of an unconstrained layout for a flexible manufacturing system
    • doi:10.1016/j.neucom.2009.06.019
    • Ficko, M.; Brezovnik, S.; Klancnik, S.; Balic, J.; Brezocnik, M.; Pahole, I. (2010). Intelligent design of an unconstrained layout for a flexible manufacturing system, Neurocomputing, Vol. 73, No. 4-6, 639-647, doi:10.1016/j.neucom.2009.06.019
    • (2010) Neurocomputing , vol.73 , Issue.4-6 , pp. 639-647
    • Ficko, M.1    Brezovnik, S.2    Klancnik, S.3    Balic, J.4    Brezocnik, M.5    Pahole, I.6


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