Location and allocation decisions for multi-echelon supply chain network - A multi-objective evolutionary approach

Expert Systems with Applications

Volumn 40, Issue 2, 2013, Pages 551-562

  Latha Shankar, B ^a   Basavarajappa, S ^b   Chen, Jason C H ^c   Kadadevaramath, Rajeshwar S ^a  

^a SIDDAGANGA INSTITUTE OF TECHNOLOGY   (India)

^b UBDT   (India)

^c GONZAGA UNIVERSITY   (United States)

Author keywords

Evolutionary approach; Four echelon supply chain architecture; MOHPSO; Non dominated sorting algorithm; Swarm intelligence

Indexed keywords

EVOLUTIONARY APPROACH; MOHPSO; NON-DOMINATED SORTING; SUPPLY CHAIN ARCHITECTURE; SWARM INTELLIGENCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SUPPLY CHAINS;

LOCATION;

EID: 84867673023     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.07.065     Document Type: Article

References (58)

1. A. Azapagic, and R. Clift The application of life cycle assessment to process optimisation Computer and Chemical Engineering 10 1999 1509 1526
2. R.H. Ballou Dynamic warehouse location analysis Journal of Marketing Research 5 1968 271 276
3. Z.H. Che A particle swarm optimization algorithm for solving unbalanced supply chain planning problems Applied Soft Computing 12 2012 1279 1287
4. Chen Cheng-Liang, B.W. Wang, and Lee. Wen-Cheng Multi-objective optimization for a multi-enterprise supply chain network Industrial and Engineering Chemistry Research 42 2003 1879 1889
5. Qi. Chengming Application of improved discrete particle swarm optimisation logistics distribution routing problem original research Procedia Engineering 15 2011 3673 -3677
6. Cheng-Liang Chen, and Wen-Cheng Lee Multi-objective optimization of multi-echelon supply chain networks, with uncertain product demands and prices Computers and Chemical Engineering 28 2004 1131 1144
7. Sunil Chopra, and Peter Meindl Supply chain management, strategy, planning and operation 2005 Pearson Prentice Hall India
8. R.L. Church, and C.S. ReVelle Theoretical and computational links between the p-median location set-covering and the maximal covering location problem Geographical Analysis 8 1976 406 415
9. C.A.C. Coello A comprehensive survey of evolutionary-based multiobjective optimization techniques Knowledge and Information Systems 1 3 1999 269 308
10. C.A.C. Coello, and M.S. Lechuga MOPSO: A proposal for multiple objective particle swarm optimization Congress on Evolutionary Computation 2002 Vol. 2 2002 IEEE Service Center Piscataway, New Jersey 1051 1056
11. M.A. Cohen, and H.L. Lee Resource deployment analysis of global manufacturing and distribution networks Journal of Manufacturing and Operations Management 1989 81 104
12. M.S. Daskin Network and Discrete Location: Models Algorithms and Applications 1995 Wiley New York
13. Deb, K. (2001). Multi-objective Optimization Using Evolutionary Algorithms. Chichester: John Wiley and Sons.
14. D. Erlenkotter A comparative study of approaches to dynamic location problems European Journal of Operational Research 6 1981 133 143
15. Eveson, R.M.; Fieldsend, J.E.; Singh, S.; 2002. Full elite sets for multi-objective optimisation. In Parmee, I.C. (Ed.), Adaptive computing in design and manufacture (pp. 343-354).
16. Fieldsend, J.E.; & Singh, S. (2002). A multi-objective algorithm based upon particle swarm optimization, an efficient data structure and turbulence. In Proceedings of the 2002 UK workshop on computational intelligence, Birmingham, UK (pp. 37-44).
17. A.M. Geoffrion, and G.W. Graves Multi commodity distribution system design by benders decomposition Management Science 20 1974 822 844
18. A.M. Geoffrion, and T.J. Vanroy Caution - Common-sense planning methods can be hazardous to your corporate health Sloan Management Review 20 1979 31 42
19. G. Guilléna, F.D. Melea, M.J. Bagajewiczb, A. Espuñaa, and L. Puigjanera Multiobjective supply chain design under uncertainty Chemical Engineering Science 2004 1535 1553
20. Shin-Ming Guo, and Chih Wei Hou Multi- objective optimization for VMI operations in the LCD supply chain Computers and Industrial Engineering 16 2010 1 6
21. Y.W. Guo, W.D. Li, A.R. Mileham, and G.W. Owen Applications of particle swarm optimisation in integrated process planning and scheduling Robotics and Computer-Integrated Manufacturing 25 2009 280 288
22. S.L. Hakimi Optimum locations of switching centers and the absolute centers and medians of a graph Operations Research 12 1964 450 459
23. X. Hu, and R.C. Eberhart Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization Congress on Evolutionary Computation 2 2002 1677 1681
24. Hu, X.; Eberhart, R.C.; & Shi, Y. (2003). Particle swarm with extended memory for multiobjective optimization. In Proceedings of the 2003 IEEE swarm intelligence symposium, Indianapolis, IN, USA (pp. 193-197).
25. Jürgen, B.; & Sanaz, M. (2006). About selecting the personal best in multi-objective particle swarm optimization. In Proceedings of the 9th international conference on parallel problem solving from nature - PPSN IX, Reykjavik, Iceland (pp. 523-532).
26. R.S. Kadadevaramath, J.C.H. Chen, B. Latha Shankar, and K. Rameshkumar Application of particle swarm intelligence algorithms in supply chain network architecture optimization Expert Systems with Applications 39 2012 10160 10176
27. Kennedy, J.; & Eberhart, R.C.; 1995. Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks, Perth, Australia (pp. 1942-1948).
28. J. Kennedy, and R.C. Eberhart Swarm intelligence 2001 Morgan Kaufmann Publishers
29. Li-Chuan Lien, and Min-Yuan Cheng A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization Expert Systems with Applications 39 10 2012 9642 9650
30. Mehdi Mahnam, Mohammad Reza Yadollahpour, Vahid Famil-Dardashti, and Seyed Reza Hejazi Supply chain modeling in uncertain environment with bi-objective approach Computers & Industrial Engineering 56 2009 1535 1544
31. Yannis Marinakis, and Magdalene Marinaki A hybrid multi-swarm particle swarm optimization algorithm for the probabilistic traveling salesman problem Computers & Operations Research 37 3 2010 432 442
32. P.B. Mirchandani, and R.L. Francis Discrete location theory 1990 Wiley
33. Mostaghim, S.; & Teich, J.; 2003. Strategies for finding good local guides in multiobjective particle swarm optimization (MOPSO). In Proceedings of the 2003 IEEE swarm intelligence symposium, Indianapolis, IN, USA (pp. 26-33).
34. Mostaghim, S.; & Teich, J. (2004). Covering pareto-optimal fronts by subswarms in multiobjective particle swarm optimization. In Proceedings of the IEEE congress on evolutionary computation 2004, Portland, Oregon, USA (pp. 1404-1411).
35. A.A. Mousa, M.A. El-Shorbagy, and W.F. Abd-El-Wahed Local search based hybrid particle swarm optimization algorithm for multi-objective optimization Swarm and Evolutionary Computation 3 2012 1 14
36. Sumona Mukhopadhyay, and Santo Banerjee Global optimization of an optical chaotic system by Chaotic Multi Swarm Particle Swarm Optimization Expert Systems with Applications 39 1 2012 917 924
37. T. Navalertporn, and N.V. Afzulpurkar Optimization of tile manufacturing process using particle swarm optimization Swarm and Evolutionary Computation 1 2 2011 97 109
38. L. Nozick, and M. Turnquist Inventory, transportation, service quality and the location of distribution centers European Journal of Operations Research 129 2001 362 371
39. S.H. Owen, and M.S. Daskin Strategic facility location: A review European Journal of Operational Research 111 1998 423 447
40. Parsopoulos, K.E.; & Vrahatis, M.N.; 2002. Particle swarm optimization method in multiobjective problems. In Proceedings of the ACM 2002 symposium on applied computing (pp. 603-607).
41. S. Prasanna Venkatesan, and S. Kumanan A multi-objective discrete particle swarm optimisation algorithm for supply chain network design International Journal of Logistics Systems and Management 11 3 2012 375 406
42. C. ReVelle The maximum capture or 'sphere of influence' location problem: Hotelling revisited on a network Journal of Regional Science 26 2 1986 343 358
43. C.S. ReVelle, H.A. Eiselt, and M.S. Daskin A bibliography for some fundamental problem categories in discrete location science European Journal of Operational Research 184 2008 817 848
44. E.H. Sabri, and B.M. Beamon A multi-objective approach to simultaneous strategic and operational planning in supply chain design Omega 28 5 2000 581 598
45. A.J. Scott Dynamic location-allocation systems: Some basic planning strategies Environment and Planning 1971 73 82
46. Z.J. Shen A profit maximizing supply chain network design model with demand choice flexibility Operations Research Letters 34 2006 673 682
47. Z.-J.M. Shen Integrated supply chain design models: A survey and future research directions Journal of Industrial and Management Optimization 3 1 2007 1 27
48. Z.J. Shen, C.R. Coullard, and M.S. Daskin A Joint location-inventory model Transportation Science 37 2003 40 55
49. D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi Designing and managing the supply chain 2000 Irwin McGraw-Hill New York
50. R. Sridharan The capacitated plant location problem European Journal of Operational Research 87 1995 203 213
51. P. Tsiakis, N. Shah, and C.C. Pantelides Design of multi-echelon supply chain networks under demand uncertainty Industrial and Engineering Chemistry Research 40 2001 3585 3604
52. Ching-Shih Tsou, Dong-Yuh Yang, Jyun-Hao Chen, and Ying-Hao Lee Estimating exchange curve for inventory management through evolutionary multi-objective optimization African Journal of Business Management 5 12 2011 4847 4852
53. A. Warszawski Multi-dimensional location problems Operational Research Quarterly 24 1973 165 179
54. A. Warszawski, and S. Peer Optimizing the location of facilities on a building site Operational Research Quarterly 24 1973 35 44
55. A. Weber Alfred Weber's theory of the location of industries 1929 University of Chicago
56. G.O. Wesolowsky Dynamic facility location Management Science 19 11 1973 1241 1248
57. G.O. Wesolowsky, and W.G. Truscott The multiperiod location-allocation problem with relocation of facilities Management Science 22 1 1976 57 65
58. Z. Zhou, S. Cheng, and B. Hua Supply chain optimization of continuous process industries with sustainability considerations Computer and Chemical Engineering 24 2000 1151 1158