HighlightsWe 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.
Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study
2017-04-22
34 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Resilient supply chain network design: a systematic literature review
Taylor & Francis Verlag | 2022
|Designing a supply chain resilient to major disruptions and supply/demand interruptions
Online Contents | 2016
|