Multi-objective supply chain sourcing strategy design under risk using PSO and simulation

International Journal of Advanced Manufacturing Technology

Volumn 61, Issue 1-4, 2012, Pages 325-337

  Prasannavenkatesan, S ^a   Kumanan, S ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Demand risk; Particle swarm optimization; Price exchange rate risk; Simulation; Supply chain sourcing

Indexed keywords

BINARY PARTICLE SWARM; COMPETITIVE ADVANTAGE; DELIVERY RELIABILITY; DEMAND RISKS; EXCHANGE RATES; GLOBAL SOURCING; HYBRID OPTIMIZATION; LEADTIME; LOCAL SUPPLIERS; MULTI OBJECTIVE; OFFSHORE SUPPLIERS; OPTIMIZATION APPROACH; ORDER ALLOCATION; RESEARCH TOPICS; SIMULATION; SIMULATION APPROACH; SIMULATION SOFTWARE; SOURCING STRATEGIES; SUPPLIER RELIABILITY; SUPPLY CHAIN RISK; SUPPLY CONTRACTS; TOTAL COSTS; TRADE RESTRICTIONS;

COMPETITION; COMPUTER SOFTWARE; COSTS; DESIGN; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PLASTIC PRODUCTS; RESEARCH; SUPPLY CHAINS;

RISK PERCEPTION;

EID: 84862586818     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3710-y     Document Type: Article

References (49)

1. Chopra S, Meindl P (2005) Supply chain management-strategy, planning and operation. Pearson Education, India
2. O'Marah K (2009) Supply chain risk, 2008-2009: As Bad as it Gets. Available at http://www.scexecutive.com/images/research/amr-research-supply- chain-risk.pdf Accessed 16 March 2010
3. M Swink G Zsidisin 2006 On the benefits and risks of focused commitment to suppliers Int J Prod Res 44 20 4223 4240 10.1080/00207540600575761 (Pubitemid 44359004)
4. RA Ravindran UR Bilsel V Wadhwa T Yang 2010 Risk adjusted multi criteria supplier selection models with applications Int J Prod Res 48 2 405 424 1197.90061 10.1080/00207540903174940
5. Knab EF (2010) Top 7 Global Supply Chain Risks in 2010. Available at http://www.mhia.org/news/industry/9780/top-7-global-supply-chain-risks-in-2010 Accessed 6 September 2010
6. Tajbakhsh MM, Zolfaghari S, Lee CG (2007) Supply uncertainty and diversification: a review. In: Jung H, Chen FF, Jeong B (eds) Trends in supply chain design and management. Techologies and methodologies. Springer, London, pp 345-368
7. CS Tang 2006 Perspectives in supply chain risk management Int J Prod Econ 103 2 451 488 10.1016/j.ijpe.2005.12.006 (Pubitemid 44038496)
8. F Zachariassen JS Arlbjorn 2010 Doctoral dissertations in logistics and supply chain management. A review of Nordic contributions from 2002 to 2008 Int J Phys Distrib Logis Manag 40 4 332 352 10.1108/09600031011045334
9. JR Stock SL Boyer T Hormon 2010 Research opportunities in supply chain management J Acad Mark Sci 38 1 32 41 10.1007/s11747-009-0136-2
10. Zeng AA, Berger PD, Gerstenfeld A (2005) Managing the supply side-risks in supply chains: taxonomies, processes and examples of decision making modeling. In: Geunes J, Akcali E, Pardalos PM, Romeijn HE, Shen ZJ (eds) Applications of supply chain management and E-commerce research. Springer, Berlin, pp 141-160
11. Y Sheffi 2001 Supply chain management under the threat of international terrorism Int J Logis Manag 12 2 1 11 670023 10.1108/09574090110806262
12. N Aissaoui M Haouari E Hassini 2007 Supplier selection and order lot sizing modeling: a review Comput Oper Res 34 12 3516 3540 1128.90033 10.1016/j.cor.2006.01.016 (Pubitemid 46661030)
13. P Kelle PA Miller 2001 Stockout risk and order splitting Int J Prod Econ 71 1-3 407 415 10.1016/S0925-5273(00)00137-7 (Pubitemid 32478642)
14. A Sarkar PKJ Mohapatra 2010 Determining the optimal size of supply base with the consideration of risks of supply disruptions Int J Prod Econ 119 1 122 135 10.1016/j.ijpe.2008.12.019
15. GJ Burke JE Carrillo AJ Vakharia 2007 Single versus multiple supplier sourcing strategies Eur J Oper Res 182 1 95 112 2363874 1128.90510 10.1016/j.ejor.2006.07.007 (Pubitemid 46561139)
16. A Awasthi SS Chauhan SK Goyal JM Proth 2009 Supplier selection problem for a single manufacturing unit under stochastic demand Int J Prod Econ 117 1 229 233 10.1016/j.ijpe.2008.10.012
17. ZH Che HS Wang 2008 Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products Comput Ind Eng 55 1 110 133 10.1016/j.cie.2007.12.005
18. B Karpak E Kumcu R Kasuganti 1999 An application of visual interactive goal programming: a case in vendor selection decisions J Multi-Crit Decis Anal 8 2 93 105 0961.90054 10.1002/(SICI)1099-1360(199903)8:2<93::AID-MCDA235>3. 0.CO;2-#
19. R Kawtummachai NV Hop 2005 Order allocation in a multiple-supplier environment Int J Prod Econ 93-94 1 231 238 10.1016/j.ijpe.2004.06.022
20. H Ding L Benyoucef X Xie 2006 A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization Eng Appl Artif Intell 19 6 609 623 10.1016/j.engappai.2005.12.008 (Pubitemid 44308581)
21. D Wu DL Olson 2008 Supply chain risk, simulation and vendor selection Int J Prod Econ 114 2 646 655 10.1016/j.ijpe.2008.02.013
22. Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, pp 1942-1948
23. R Poli 2008 Analysis of the publications on the applications of Particle swarm optimization J Artif Evol Appl 8 2 1 10
24. D Anghinolfi M Paolucci 2009 A new discrete particle swarm optimization approach for the single-machine total weighted tardiness scheduling problem with sequence-dependent setup times Eur J Oper Res 193 1 73 85 1152.90423 10.1016/j.ejor.2007.10.044
25. Kennedy J, Eberhart RC (1997) A discrete binary version of the particle swarm algorithm. In: Proceedings of the IEEE conference on Syst Man and Cybernetics, Piscataway, NJ, pp 4104-4109
26. Khanesar MA, Teshnehlab M, Shoorehdeli MA (2007) A novel binary particle swarm optimization. In: Proceedings of Mediterranean conference on control and automation, Athens, Greece, pp 1-6
27. Camci F (2008) Analysis of velocity calculation methods in binary PSO on maintenance scheduling. In: Proceedings of first international conference on the applications of digitial information and web technologies, Ostrava, pp 12-17
28. MF Tasgetiren YC Liang 2004 A binary particle swarm optimization algorithm for lot sizing problem J Econ Soc Res 5 2 1 20
29. Fan K, Zhang R, Xia G (2007) An improved particle swarm optimization algorithm and its application to a class of JSP problem. In: Proceedings of 2007 IEEE International Conference on Grey Syst and Intell Serv,Nanjing, China, pp 1628-1633
30. F Gao G Cui Q Zhao H Liu 2006 Application of improved discrete particle swarm algorithm in partner selection of virtual enterprise Int J Comput Sci Netw Secur 6 3A 208 212
31. CJ Ting CY Tsai LW Yeh 2007 The use of particle swarm optimization for order alloction under multiple capacitated sourcing and quantity discounts Ind Eng Manag Syst 6 2 136 145
32. Fieldsend JE (2004) Multi objective particle swarm optimization methods. Available at http://www.lania.mx/~ccoello/fieldsend04c.pdf.gz. Accessed 20 March 2010
33. Alvarez-Benitez JE, Everson RM, Fieldsend JE (2005) A MOPSO algorithm based exclusively on Pareto dominance concepts. In: Coello Coello CA, Aguirre AH, Zitzler E (eds) Evolutionary multi-criterion optimization. Springer, Berlin, pp 459-473 (Pubitemid 41251783)
34. CA Coello Coello GT Pulido MS Lechuga 2004 Handling multiple objectives with particle swarm optimization IEEE Trans Evol Comput 8 3 256 279 10.1109/TEVC.2004.826067
35. Raquel CR, Naval Jr PC (2005) An effective use of crowding distance in multi objective particle swarm optimization In: Proceedings of Genetic and Evol Comput Conference (GECCO) Washington DC, USA, pp 257-264 (Pubitemid 43226295)
36. DA Lei 2008 Pareto archive particle swarm optimization for multi objective job shop scheduling Comput Ind Eng 54 4 960 971 10.1016/j.cie.2007.11. 007 (Pubitemid 351458391)
37. D Stefanovic N Stefanovic B Radenkovic 2009 Supply network modeling and simulation methodology Simul Model Pract Theor 17 4 743 766 10.1016/j.simpat. 2009.01.001
38. I Manuj JT Mentzer MR Bowers 2009 Improving the rigor of discrete event simulation in logistics and supply chain research Int J Phys Distrib Logis Manag 39 3 172 201 10.1108/09600030910951692
39. D Peidro J Mula R Poler FC Lario 2009 Quantitative models for supply chain planning under uncertainty: a review Int J Adv Manuf Technol 43 3-4 400 420 10.1007/s00170-008-1715-y
40. Cohen MA, Huchzermeier A (1999) Global supply chain network management under price/exchange rate risk and demand uncertainty. In: Muffato M, Paswar KS (eds.) Logistics in the Information Age. SGE Ditorali, pp 219-234
41. FTS Chan HK Chan 2005 Simulation modeling for comparative evaluation of supply chain management strategies Int J Adv Manuf Technol 25 9-10 400 420
42. Ingalls RG (1998) The value of simulation in modeling supply chains. In: Proceedings of the 1998 Winter simulation conference, Houston, TX, pp 1371-1375
43. Hicks DA (1999) A four step methodology for using simulation and optimization technologies in strategic supply chain planning. In: Proceedings of the 1999 Winter simulation conference, Phoenix AZ, pp 1215-1220
44. Ruiz N, Giret A, Botti V (2006) Towards an agent-based simulation tool for manufacturing systems. In: IEEE Conference on Emerging Technologies and Factory Automation ETFA '06, Prague, pp 797-804
45. M Jafferali J Venkateshwaran YJ Son 2005 Performance comparison of search-based simulation optimization algorithms for operations scheduling J Simul Process Model 1 1-2 58 71
46. TH Troung F Azadivar 2005 Optimal design methodologies for configuration of supply chain Int J Prod Res 43 11 2217 2236 10.1080/00207540500031998 (Pubitemid 41663547)
47. Amodeo L, Prins C, Sanchez DR (2009) Comparision of metahueristic approaches for multi-objective simulation based optimization in supply chain inventory management. In: Proceedings of EvoWorkshops '09 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG. Springer, Berlin, pp 798-807
48. M Mahnam MR Yadollahpour VF Dardashti SR Hejazi 2009 Supply chain modeling in uncertain environment with bi-objective approach Comput Oper Res 56 4 1535 1544
49. Deb K (2001) Multi objective optimization using evolutionary algorithms. Wiley, New York