Eco-Gresilient: Coalescing Ingredient of Economic, Green and Resilience in Supply Chain Network Design

Abstract

This research presents a new approach that considers green and resilience dimensions in addition to economic (eco-gresilient, henceforth) aspects to design an eco-gresilient supply chain network. Thus, fuzzy AHP (analytical hierarchy process) is used to determine the relative weight of evaluation criteria for each resilience pillars (robustness, agility, leanness and flexibility (RALF)), and then it is used for assigning the importance weight for each potential facility with respect to RALF. The determined weights revealed via fuzzy AHP are then integrated into a multi-objective optimization model to identify the number of facilities that should be established in the meat supply chain. Three objective functions were formulated and include minimization of total cost and environmental impact and maximization of value of resilience (V-RALF). The ε-constraint approach is used to obtain a set of Pareto solutions. The effectiveness of the developed eco-gresilient multiobjective model is presented on a case study in the meat sector.