Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study

In this paper, a novel multi-objective integrated sustainable-resilient mixed integer linear programming model for designing a pharmaceutical supply chain network under uncertainty is presented. To cope with the uncertainty aspect of the model, a new fuzzy possibilistic-stochastic programming approach is developed. Additionally, due to NP hard nature of the problem, we propose a novel Pareto-based lower bound method as well as a new meta-heuristic algorithm. Several numerical examples, as well as a case study targeting Truvada(c) supply chain for the LGBTQ community, as they account for majority of the market for such product, in France is proposed. (C) 2017 Elsevier Ltd. All rights reserved.