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Title

Design the bi-objective pharmaceutical supply chain network under uncertainty and considering the production, delivery, and drug perishable times

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Abstract

 In this paper, a bi-objective pharmaceutical supply chain network under uncertainty demand and transportation costs is modeled and developed. To control the uncertainty parameters, the robust optimization method is considering. The main objective of this paper determines the number and location of potential facilities such as drug manufacture centers and drug distribution centers by considering the minimizing the total costs and minimizing the maximum unsatisfied demand for distribution of drugs to demand zones. In this paper, production time, delivery, and drug perishable time is also considered in modeling. To solve the model, an example is designed and the multi-decision TH method is used. The results obtained the model shows this method is effective in finding the Pareto front at the right time. The results obtained the model shows this method is effective in finding the Pareto front at the right time. The results obtained the model shows this method is effective in finding the Pareto front at the right time.

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    APA: Copy

    JAFARI ESKANDARI, MEISAM, MOKHTARI saghinsara, MEHRDAD, & Abbasi fard, Mohammad. (2021). Design the bi-objective pharmaceutical supply chain network under uncertainty and considering the production, delivery, and drug perishable times. JOURNAL OF NEW RESEARCHES IN MATHEMATICS, 6(26 ), 0-0. SID. https://sid.ir/paper/969479/en

    Vancouver: Copy

    JAFARI ESKANDARI MEISAM, MOKHTARI saghinsara MEHRDAD, Abbasi fard Mohammad. Design the bi-objective pharmaceutical supply chain network under uncertainty and considering the production, delivery, and drug perishable times. JOURNAL OF NEW RESEARCHES IN MATHEMATICS[Internet]. 2021;6(26 ):0-0. Available from: https://sid.ir/paper/969479/en

    IEEE: Copy

    MEISAM JAFARI ESKANDARI, MEHRDAD MOKHTARI saghinsara, and Mohammad Abbasi fard, “Design the bi-objective pharmaceutical supply chain network under uncertainty and considering the production, delivery, and drug perishable times,” JOURNAL OF NEW RESEARCHES IN MATHEMATICS, vol. 6, no. 26 , pp. 0–0, 2021, [Online]. Available: https://sid.ir/paper/969479/en

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