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Title

Optimizing Sustainable Pharmaceutical Distribution Network Model with Evolutionary Multi-objective Algorithms (Case Study: Darupakhsh Company)

Pages

  133-153

Abstract

 Pharmaceutical Industry in Iran has difficulties such as inappropriate distribution, expired drugs and late drug delivery to patients. To overcome these issues and reach a sustainable development, the environmental and social aspects must be considered beside the economic aspects. In this paper, we address the Pharmaceutical Distribution Network and design a novel model that helps the distributing companies to decide strategic (determining the main and local distribution centers) and tactical decision (determining the flow) according to the three aspects of Sustainability. The solution through the Evolutionary Algorithms presents the best selection of local distribution centers and the optimum amount of flow of medicine through the network with respect to three aspects of Sustainability.

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    APA: Copy

    JANATYAN, NASSIBEH, ZANDIEH, MOSTAFA, ALEM TABRIZ, AKBAR, & RABIEH, MASOOD. (2019). Optimizing Sustainable Pharmaceutical Distribution Network Model with Evolutionary Multi-objective Algorithms (Case Study: Darupakhsh Company). PRODUCTION AND OPERATIONS MANAGEMENT, 10(1 (18) ), 133-153. SID. https://sid.ir/paper/217619/en

    Vancouver: Copy

    JANATYAN NASSIBEH, ZANDIEH MOSTAFA, ALEM TABRIZ AKBAR, RABIEH MASOOD. Optimizing Sustainable Pharmaceutical Distribution Network Model with Evolutionary Multi-objective Algorithms (Case Study: Darupakhsh Company). PRODUCTION AND OPERATIONS MANAGEMENT[Internet]. 2019;10(1 (18) ):133-153. Available from: https://sid.ir/paper/217619/en

    IEEE: Copy

    NASSIBEH JANATYAN, MOSTAFA ZANDIEH, AKBAR ALEM TABRIZ, and MASOOD RABIEH, “Optimizing Sustainable Pharmaceutical Distribution Network Model with Evolutionary Multi-objective Algorithms (Case Study: Darupakhsh Company),” PRODUCTION AND OPERATIONS MANAGEMENT, vol. 10, no. 1 (18) , pp. 133–153, 2019, [Online]. Available: https://sid.ir/paper/217619/en

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