Analytic Hierarchy Process (AHP) has been employed by researchers for solving multi-criteria analysis problems. However, AHP is often criticized for its unbalanced scale of judgments and failure to precisely handle the inherent uncertainty and vagueness in carrying out the pair-wise comparisons. With an objective to address these drawbacks, in this paper, we employ a fuzzy approach in selecting potential recovery facilities in the strategic planning of a reverse supply chain network that addresses the decision maker's level of confidence in the fuzzy assessments and his/her attitude towards risk. A numerical example is considered to illustrate the methodology.


Originally published in the Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing V, Boston, Massachusetts, pp. 155-162, October 23-24, 2005


Reverse supply chain, strategic planning, fuzzy Analytic Hierarchy Process (AHP), Fuzzy numbers, Multi-Criteria analysis

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Copyright 2005, Society of Photo-Optical Instrumentation Engineers


This paper was published in Proceedings of SPIE (Volume 5997) 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.

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