An integrated fuzzy multi-criteria evaluation of sustainable reverse logistics network models

Abstract

Reverse logistics is an environmentally and economically sound way to achieve many of the goals of sustainable development. Implementing reverse logistics is a strategic decision, requiring evaluation of a broad set of criteria. Various network models are available based on the trade off considerations at collection, sorting/testing and processing. This paper proposes an integrated fuzzy multi-criteria decision making (FMCDM) model for network selection by introducing the triple bottom line of sustainability. Fuzzy AHP is used to calculate the weight of economic, environmental, and social aspects of sustainability and fuzzy TOPSIS is used for ranking the alternative network models. The model is demonstrated by an example.