Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5110482 | Transportation Research Part E: Logistics and Transportation Review | 2017 | 34 Pages |
Abstract
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© supply chain for the LGBTQ community, as they account for majority of the market for such product, in France is proposed.
Related Topics
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Authors
Behzad Zahiri, Jun Zhuang, Mehrdad Mohammadi,