Paper
9 October 2006 Supplier selection in a closed-loop supply chain network: an ANP-goal programming based methodology
Author Affiliations +
Proceedings Volume 6385, Environmentally Conscious Manufacturing VI; 63850G (2006) https://doi.org/10.1117/12.686328
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Satish Nukala and Surendra M. Gupta "Supplier selection in a closed-loop supply chain network: an ANP-goal programming based methodology", Proc. SPIE 6385, Environmentally Conscious Manufacturing VI, 63850G (9 October 2006); https://doi.org/10.1117/12.686328
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Cited by 9 scholarly publications.
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KEYWORDS
Computer programming

Data modeling

Network security

Reliability

Manufacturing

Safety

Manufacturing equipment

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