Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives

International Journal of Production Research

Volumn 48, Issue 11, 2010, Pages 3355-3381

  Che, Z H ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Defective supply chain; Fuzzy analytic hierarchy process; Green supply chain; Particle swarm optimisation; WEEE RoHS directives

Indexed keywords

BALANCED SYSTEMS; DEFECTIVE MODELS; EU DIRECTIVES; FUZZY AHP; FUZZY ANALYTIC HIERARCHY PROCESS; GREEN SUPPLY CHAIN; PARTICLE SWARM OPTIMISATION; PRODUCTION LOSS; SUPPLIER SELECTION; SUPPLY CHAIN SYSTEMS;

ANALYTIC HIERARCHY PROCESS; CHAINS; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; RESEARCH; SUPPLY CHAIN MANAGEMENT;

SUPPLY CHAINS;

EID: 77951111988     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540802702080     Document Type: Article

References (56)

1. Belton, V. and Gear, A.E., 1985. The legitimacy of rank reversal - a comment. Omega, 13, 227-230.
2. Chau, K.W., 2006. Particle swarm optimisation training algorithm for ANNs in stage prediction of Shing Mun River. Journal of Hydrology, 329, 363-367
3. Chen, C.L. and Lee, W.C., 2004. Multi-objective optimisation of multi-echelon supply chain networks with uncertain product demands and prices. Computing and Chemical Engineering, 28, 1131-1144.
4. Chen, Y.H. and Wang, T.C., 2005. Developing fuzzy decision support system on supplier selection strategy. Journal of Management and Systems, 12, 117-131.
5. Chung, K.J. and Hou, K.L., 2003. Optimal productions run time with imperfect production process and allowable shortages. Computing and Operations Research, 30, 483-490.
6. Csutera, R. and Buckley, J.J., 2001. Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy Sets and Systems, 120, 181-195.
7. Deans, I., 1999. An approach to the environmental management of purchasing in the utilities sector. Eco-Management, 6, 11-17.
8. Dickson, G.W., 1966. An analysis of supplier selection systems and decisions. Journal of Purchasing, 2, 5-17.
9. Dubois, D. and Prade, H., 1980. Fuzzy sets and system: Theory and application. New York: Academic Press Inc.
10. Eberhart, R.C. and Shi, Y., 2001. Particle swarm optimisation: developments, applications and resources. In: Proceedings of the 2001 Congress on Evolutionary Computation, 27-30 May 2001, Seoul. New Jersey: IEEE Press, 81-86.
11. European Commission 2000. Proposal for a directive of the european parliament and of the council on waste electrical and electronic equipment (WEEE) [online]. Brussels, Belgium. Available from: http://ec.europa. eugovernanceimpactdocsia-2008com-2008-0810-en.pdf [Accessed 12 March 2008].
12. Goldberg, D.E., 1989. Genetic algorithms in search, optimisation, machine learning. MA: Addison Wesley.
13. Hammond, D. and Beullens, P., 2007. Closed-loop supply chain network equilibrium under legislation. European Journal of Operational Research, 183, 895-908.
14. Han, F. and Ling, Q.H., 2008. A new approach for function approximation incorporating adaptive particle swarm optimisation and a priori information. Applications of Mathematical Computing, 205, 792-798.
15. Handfield, R., et al., 2002. Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process. European Journal of Operational Research, 141, 70-87.
16. Humphreys, P.K., Wong, Y.K., and Chan, F.T.S., 2003. Integrating environmental criteria into the supplier selection process. Journal of Material Processing Technology, 138, 349-356.
17. Jang, Y.J., et al., 2002. A combined model of network design and production/distribution planning for a supply network. Computing and Industrial Engineering, 43, 263-281.
18. Kainuma, Y. and Tawara, N., 2006. A multiple attribute utility theory approach to lean and green supply chain management. International Journal of Production Economics, 101, 99-108.
19. Kennedy, J. and Eberhart, R.C., 1995. Particle swarm optimisation. Proceedings of IEEE International Conference on Neural Networks, 4, 1942-1948.
20. Kennedy, J., Eberhart, R.C., and Shi, Y., 2001. Swarm Intelligence. San Francisco: Morgan Kaufmann.
21. Klein, M., 1966. Markovian decision models for reject allowance problems. Management Science, 12, 349-358.
22. Lee, H.L. and Yano, C.A., 1988. Production control in multistage systems with variable yield losses. Operational Research, 36, 269-278.
23. Lee, Y.H. and Kim, S.H., 2002. Production-distribution planning in supply chain considering capacity constraints. Computing and Industrial Engineering, 43, 169-190.
24. Levitan, R.E., 1960. The optimum reject allowance problem. Management Science, 6, 172-186.
25. Li, L.L., Wang, L.H., and Liu, L.H., 2006. An effective hybrid PSOSA strategy for optimisation and its application to parameter estimation. Applied Mathematics and Computation, 179, 135-146.
26. Liang, T.F., 2008. Fuzzy multi-objective production/distribution planning decisions with multiproduct and multi-time period in a supply chain. Computing and Industrial Engineering, 55, 676-694.
27. Liao, Z. and Rittscher, J., 2007. A multi-objective supplier selection model under stochastic demand conditions. International Journal of Production Economics, 105, 150-159.
28. Liu, J.J. and Yang, P., 1996. Optimal lot-sizing in an imperfect production system with homogeneous reworkable jobs. European Journal of Operational Research, 91, 517-527.
29. Mon, D.L., Cheng, C.H., and Lin, J.C., 1994. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight. Fuzzy Sets and Systems, 162, 127-134.
30. Ni, M., Fei, X.X., and Chun, D.S., 2004. Optimisation of component suppliers' selection based on association rule. Computer Integrated Manufacturing Systems, 10, 317-322.
31. Noci, G., 1997. Designing 'green' vendor rating systems for the assessment of a supplier's environmental performance. European Journal of Purchasing Supply Management, 13, 103-114.
32. Queiruga, D., et al., 2008. Evaluation of sites for the location of WEEE recycling plans in Spain. Waste Management, 28, 181-190.
33. Saaty, T.L., 1980. The analytic hierarchy process. New York: McGraw-Hill.
34. Saaty, T.L., 1982. Decision making for leaders: The analytic hierarchy process for decisions in a complex world. New York: Lifetime Learning.
35. Sana, S.S., Goyal, S.K., and Chaudhuri, K., 2007. An imperfect production process in a volume flexible inventory model. International Journal of Production Economics, 105, 548-559.
36. Sarkis, J., 2003. A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11, 397-409.
37. Shi, Y. and Eberhart, R.C., 1998a. A modified particle swarm optimiser. In: Proceedings of the IEEE International Conference on Evolutionary Computation, 4-9 May 1998, Alaska. New Jersey: IEEE Press, 69-73.
38. Shi, Y. and Eberhart, R.C., 1998b. Parameter selection in particle swarm optimisation. In: Proceedings of 7th Annual Conference on Evolutionary Programming VII, 25-27 March 1998, San Diego. New York: Springer-Verlag, 591-600.
39. Suganthan, P.N., 1999. Particle swarm optimiser with neighbourhood operator. In: Proceedings of the 1999 Congress on Evolutionary Computation, 6-9 July 1999, District of Columbia. New Jersey: IEEE Press, 1958-1962.
40. Teng, J.Y. and Tzeng, G.H., 1993. Transportation investment project selection with fuzzy multiobjective. Transportation Planning and Technology, 17, 91-112.
41. Vachon, S. and Klassen, R.D., 2006. Green project partnership in the supply chain: the case of the package printing industry. Journal of Cleaner Production, 14, 661-671.
42. Wadhwa, V. and Ravindran, A.R., 2007. Vendor selection in outsourcing. Computers and Operations Research, 34, 3725-3737.
43. Wang, H.S. and Che, Z.H., 2007. An integrated model for supplier selection decisions in configuration changes. Expert Systems Applications, 32, 1132-1140.
44. Wang, H.S. and Che, Z.H., 2008. A multi-phase model for product part change problems. International Journal of Production Research, 46, 2797-2825.
45. Wang, H.S. and Che, Z.H., 2008. Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products. Computing and Industrial Engineering, 55, 110-133.
46. Wang, H.S., Che, Z.H., and Wang, M.J., 2008. A three-phase integrated model for product configuration change problems. Expert Systems Applications, 36, 5491-5509.
47. Wang, H.S., Che, Z.H. and Sha, D.Y., 2004. Two-stage model for flow-shop production planning with different machines. In: Proceedings of the 9th Annual International Conference on Industrial Engineering - Theory, Applications and Practice, 27-30 November, Auckland, New Zealand. Texas: IJIE Inc., 299-304.
48. Weber, C.A., Current, J.R., and Benton, W.C., 1991. Vendor Selection Criteria and Methods. European Journal of Operations Research, 50, 2-18.
49. Weber, C.A., Current, J.R., and Desai, A., 2000. Vendor: a structured approach to vendor selection and negotiation. Journal of Business Logistics, 21, 135-167.
50. White, L.S., 1967. Bayes Markovian decision models for a multi-period reject allowance problem. Operations Research, 15, 857-865.
51. Willems, B., Dewulf, W., and Duflou, J.R., 2006. Can large-scale disassembly be profitable? A linear programming approach to quantifying the turning point to make disassembly economically viable. International Journal of Production Research, 44, 1125-1146.
52. Xia, W. and Wu, Z., 2007. Supplier selection with multiple criteria in volume discount environments. Omega, 35, 494-504. (Pubitemid 44835388)
53. Yang, X.M., et al., 2007. A modified particle swam optimiser with dynamic adaptation. Applied Mathematics and Computation, 189, 1205-1213.
54. Yin, P.Y. and Wang, J.Y., 2006. Particle swarm optimisation approach to the nonlinear resource allocation problem. Applied Mathematics and Computation, 183, 232-242.
55. Zadeh, L.A., 1965. Fuzzy sets. Information Control, 8, 338-353.
56. Zhang, H., Li, H., and Tam, C.M., 2006. Particle swarm optimisation for resource-constrained project scheduling. International Journal of Project Management, 24, 83-92.