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.


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    Titel :

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


    Beteiligte:
    Zahiri, Behzad (Autor:in) / Zhuang, Jun (Autor:in) / Mohammadi, Mehrdad (Autor:in)


    Erscheinungsdatum :

    2017-04-22


    Format / Umfang :

    34 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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