A MULTI-OBJECTIVE MODEL FOR DECISION MAKING IN A CLOSED-LOOP SUPPLY CHAIN NETWORK

Abstract

Due to the increased environmental concern and also attain competitive advantages, closed-loop supply chain network design has spurred an interest throughout the two last decades among researchers. In addition, supplier selection and considering importance value of customers are of basis issues, which strongly affect on the supply chain performance. In this study, we propose a closed-loop supply chain network that incorporates the network design decisions in both forward and reverse supply chain networks as well as assimilates strategic and tactical decisions. The network is considered for the production of one product through an assembly of multi modules supplied by different suppliers and usage rate. To solve the proposed model, we use STEP method as an interactive approach which reveals the effect on the network solution due to changes in DM’s preferences on various objectives

Keywords

• Closed-loop Supply Chain Network Design, Supplier selection, STEP method

Kaynakça

1. Fleischman, Bloemhof-Ruwaard, Beullens, Dekker (2004), “Reverse logistics network design”, (in: Dekker, Fleischmann, Inderfurth, Van Wassenhove Reverse
2. Logistics, Quantitative Models for Closed-loop Supply chains, Springer, pp.65–94. Pishvaee, Jolay, Razmi (2009), “A stochastic optimization model for integrated forward/reverse logistics network design”, Journal of Manufacturing Systems, Vol.28, pp.107-114.
3. Vinodh, Ramiya, Gautham (2011), “Application of fuzzy analytic network process for supplier selection in a manufacturing organization”, Expert system with application, Vol. 38, pp.272-280.
4. Saaty (1980), “The Analytic Hierarchy Process”, McGraw-Hill, New York.
5. Kokangul, Susuz (2008), “Integrated analytical hierarch process and mathematical programming to supplier selection problem with quantity discount”, Applied
6. Mathematical Modelling, Vol.33, No.3, pp.1417-1429.
7. Pishvaee, Torabi (2010), “A possibilistic programming approach for CSCND under uncertainty”, Fuzzy Sets and Systems, Vol. 161, pp.2668–2683.
8. Shen (2007), “Integrated supply chain design models: a survey and future research directions”, Journal of Industrial and Management Optimization, Vol.3, No.1. pp.1–27.

9. Torabi, Hassini (2008), “An interactive possibilistic programming approach for multiple objective supply chain master planning”, Fuzzy Sets and Systems, Vol.159, pp.193–214.
10. Salema, Barbosa-Povoa, Novais (2007), “An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty”, European
11. Journal of Operational Research, Vol. 179, pp.1063–1077.
12. Benayoun, Demontgolfier, Tergny, Laritchev ( 1971), “Linear Programming with multiple objective functions: STEP method”, Mathematical Programming, Vol.1, pp.366–375.
13. Steuer (1986), “Multiple Criteria Optimization”, Theory, Computation and Applications, Wiley, New York.