A modified Pareto genetic algorithm for multi-objective build-to-order supply chain planning with product assembly

Advances in Engineering Software

Volumn 41, Issue 7-8, 2010, Pages 1011-1022

  Che, Z H ^a   Chiang, C J ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Build to order supply chain; Logistic distribution system; Pareto genetic algorithm; Product assembly; Supplier selection

Indexed keywords

GENETIC ALGORITHMS; MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

BUILD-TO-ORDER; PARETO GENETIC ALGORITHMS; PRODUCT ASSEMBLY; SUPPLIER SELECTION; SUPPLY CHAIN LOGISTICS;

ASSEMBLY;

EID: 77955465920     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2010.04.001     Document Type: Article

References (39)

1. F. Altiparmak, M. Gen, L. Lin, and T. Paksoy A genetic algorithm approach for multi-objective optimization of supply chain networks Comput Ind Eng 51 1 2006 196 215
2. N. Chakraborti, P. Mishra, A. Aggarwal, A. Banerjee, and S.S. Mukherjee The Williams and Otto Chemical Plant re-evaluated using a pareto-optimal formulation aided by genetic algorithms Appl Soft Comput 6 2 2006 189 197
3. Z.H. Che Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives Int J Prod Res 48 11 2010 3355 3381
4. C.T. Chen, C.T. Lin, and S.F. Huang A fuzzy approach for supplier evaluation and selection in supply chain management Int J Prod Econ 102 2006 289 301
5. C. Dai, M. Yao, Z. Xie, C. Chen, and J. Liu Parameter optimization for growth model of greenhouse crop using genetic algorithms Appl Soft Comput 9 1 2009 13 19
6. G.W. Dickson An analysis of supplier selection system and decision J Purch 2 1 1966 5 17
7. Y. Fei, N.N. Li, and Z.G. Han Multi-objective optimization method and its application based on pareto sets Hoist Convey Mach 2006 9 2006 13 15
8. Fujita K, Hirokawa N, Akagi S. Multi-objective optimal design of automotive engine using genetic algorithm. In: Proceeding of DETC'98 - ASME design engineering technical conferences; 1998.
9. M. Gen, and R. Cheng Genetic algorithms and engineering design 1997 Wiley New York
10. T.S. Glickmana, and S.C. White Optimal vendor selection in a multiproduct supply chain with truckload discounts Transport Res Part E - Logist Transport Rev 44 5 2008 684 695
11. D.R. Goossens, A.J.T. Maas, F.C.R. Spieksma, and J.J. van de Klundert Exact algorithms for procurement problems under a total quantity discount structure Eur J Oper Res 178 2 2007 603 626
12. A. Gunasekaran The build-to-order supply chain (BOSC): a competitive strategy for 21st century J Oper Manage 23 5 2005 419 422
13. A. Gunasekaran, K.H. Lai, and E.T.C. Cheng Responsive supply chain: a competitive strategy in a networked economy Omega 36 4 2008 549 564
14. A. Gunasekaran, and E.W.T. Ngai Modeling and analysis of build-to-order supply chains Eur J Oper Res 195 2 2009 319 334
15. S.H. Ha, and R. Krishnan A hybrid approach to supplier selection for the maintenance of a competitive supply chain Expert Syst Appl 34 2008 1303 1311
16. C. Hosung, R.L. Rogers, and L. Hao Design of electrically small wire antennas using a pareto genetic algorithm IEEE Trans Antennas Propag 53 3 2005 1038 1046
17. J.B. Houlihan International supply chain management Int J Phys D Mater Manage 15 1 1985 22 38
18. M. Howard, J. Miemczykb, and A. Graves Automotive supplier parks: an imperative for build-to-order J Purch Supply Manage 12 2006 91 104
19. T.C. Jones, and D.W. Riley Using inventory for competitive advantage through supply chain management Int J Phys D Mater Manage 15 5 1985 16 26
20. L. Krajewski, J.C. Wei, and L.L. Tang Responding to schedule changes in build-to-order supply chains J Oper Manage 23 5 2005 452 469
21. K. Li, A.I. Sivakumar, and V.K. Ganesan Complexities and algorithms for synchronized scheduling of parallel machine assembly and air transportation in consumer electronics supply chain Eur J Oper Res 187 2 2008 442 455
22. Z. Liaoa, and J. Rittscherb A multi-objective supplier selection model under stochastic demand conditions Int J Prod Econ 105 2006 150 159
23. V. Pareto Cours D'Economic Politique 1896 F. Rouge Lausanne
24. P.N. Poulos, G.G. Rigatos, S.G. Tzafestas, and A.K. Koukos A pareto-optimal genetic algorithm for warehouse multi-objective optimization Eng Appl Artif Intell 14 6 2001 737 749
25. S. Prasad, J. Tata, and M. Madan Build to order supply chains in developed and developing countries J Oper Manage 23 5 2005 551 568
26. M.A.A. Rahman, and B.R. Sarker Supply chain models for an assembly system with preprocessing of raw materials Eur J Oper Res 181 2007 733 752
27. I. Rojas, J. Gonzalez, H. Pomares, J.J. Merelo, P.A. Castillo, and G. Romero Statistical analysis of the main parameters involved in the design of a genetic algorithm IEEE Trans Syst Man Cybern C 32 1 2002 31 37
28. D.Y. Sha, and Z.H. Che Supply chain network design: partner selection and production/distribution planning using a systematic model J Oper Res Soc 57 1 2006 52 62
29. A.S. Simaria, and P.M. Vilarinho A genetic algorithm based approach to the mixed-model assembly line balancing problem of type II Comput Ind Eng 47 4 2004 391 407
30. N. Tutkun Parameter estimation in mathematical models using the real coded genetic algorithms Expert Syst Appl 36 2 2009 3342 3345
31. V. Wadhwa, and A.R. Ravindran Vendor selection in outsourcing Comput Oper Res 34 12 2007 3725 3737
32. C.A. Weber, J.R. Current, and W.C. Benton Vendor selection criteria and methods Eur J Oper Res 50 1991 2 18
33. C.A. Weber, J.R. Current, and A. Desai Vendor: a structured approach to vendor selection and negotiation J Bus Logist 21 1 2000 135 167
34. J. Xu, Q. Liu, and R. Wang A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor Inf Sci 178 2008 2022 2043
35. X. Zhao, D. Xu, H. Zhang, and Q. He Modeling and analysis of a supply-assembly-store chain Eur J Oper Res 176 2007 275 294
36. S.Q. Zhou, and J.W. Xiang Multiobjective collaborative optimization based on BP neural network and pareto genetic algorithm Mach Des Res 22 5 2006 10 13
37. X.J. Zhu, D. Pan, A.L. Wang, H.Q. Zhang, and Q.T. Ye Multiobjective optimization design with mixed-discrete variables in mechanical engineering via pareto genetic algorithm J Shanghai Jiaotong Univ 34 3 2000 411 414
38. E. Zitzler Evolutionary algorithms for multiobjective optimization: methods and applications 1999 Swiss Federal Institute of Technology Switzerland
39. E. Zitzler, M. Laumanns, and S. Bleuler A tutorial on evolutionary multiobjective optimization X. Gandibleux, M. Sevaux, K. Sörensen, V. T'kindt, Metaheuristics for multiobjective optimisation, lecture notes in economics and mathematical systems vol. 535 2004 Springer Berlin 3 37