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

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

Zahiri, Behzad / Zhuang, Jun / Mohammadi, Mehrdad

Highlights•We propose a new resilient-sustainable model for pharmaceutical network design.•We introduce new measures for resiliency and sustainability.•We propose a new possibilistic-stochastic programming model to cope with uncertainty.•We develop a new hybrid meta-heuristic algorithm to efficiently solve the problem.•We provide a real case-study and analyze the results.

AbstractIn 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© supply chain for the LGBTQ community, as they account for majority of the market for such product, in France is proposed.