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Proceedings Paper

Supplier selection in a closed-loop supply chain network: an ANP-goal programming based methodology
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Paper Abstract

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.

Paper Details

Date Published: 9 October 2006
PDF: 9 pages
Proc. SPIE 6385, Environmentally Conscious Manufacturing VI, 63850G (9 October 2006); doi: 10.1117/12.686328
Show Author Affiliations
Satish Nukala, Northeastern Univ. (United States)
Surendra M. Gupta, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 6385:
Environmentally Conscious Manufacturing VI
Surendra M. Gupta, Editor(s)

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