Traditionally, in supply chain literature, the supplier selection problem is treated as an optimization problem that requires formulating a single objective function. However, not all supplier selection criteria can be quantified, as a result of which, only a few quantitative criteria are included in the problem formulation. To this end, in this paper, we develop an integrated analytic network process (ANP) and preemptive goal programming (PGP) based multi-criteria decision making methodology to address the qualitative and quantitative criteria that influence the supplier selection problem in a closed-loop supply chain network (CLSC). While the ANP methodology aids in determining qualitatively the supply chain strategy by evaluating the suppliers with respect to several criteria, the PGP methodology uses the ANP ratings as inputs and aids in mathematically determining the optimal quantities to be ordered from the suppliers.
Closed-Loop Supply Chain Network, Analytic Network Process, Goal Programming, Supplier Selection
Copyright 2006, Society of Photo-Optical Instrumentation Engineers
This paper was published in Proceedings of SPIE (Volume 6385) and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Society of Photo-Optical Instrumentation Engineers
Gupta, Surendra M. and Nukala, Satish, "Supplier selection in a closed-loop supply chain network: an ANP-goal programming based methodology" (2006). . Paper 112. http://hdl.handle.net/2047/d10010014
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