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A dynamic bi—objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

Credit to Download: 1 | Page Numbers 10 | Abstract Views: 94
Year: 2017
COI code: IIEC14_030
Paper Language: English

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Authors A dynamic bi—objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

  J afar Heydari - Department oflndustrial Engineering, College 0f Engineering, University of Tehran, Tehran, Iran
  Ali Sabbaghni - Department oflndustrial Engineering, College 0fEngineering, University of Tehran, Tehran, Iran
  Jafar Razmi - Department oflndustrial Engineering, College 0fEngineering, University of Tehran, Tehran, Iran

Abstract:

Health service management plays a crucial role in human life. Blood related operations are considered as one of the important components of the health services. This paper presents a bi—objective mixed integer linear programming model for dynamic location-allocation of blood facilities that integrates strategic and tactical decisions. Due to theepistemic uncertain nature of strategic decisions, in order to cope with the inherent uncertainties, a robust possibilistic programming approach is applied to the proposed model. Finally, to test the applicability of the proposed model, sensitivity analysis and some numerical examples are being proposed.

Keywords:

Blood supply chain, Uncertainty, Robust possibilistic programming approach

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COI code: IIEC14_030

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Heydari, J afar; Ali Sabbaghni & Jafar Razmi, 2017, A dynamic bi—objective model for after disaster blood supply chain network design; a robust possibilistic programming approach, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_030.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Heydari, J afar; Ali Sabbaghni & Jafar Razmi, 2017)
Second and more: (Heydari; Sabbaghni & Razmi, 2017)
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Type: state university
Paper No.: 55403
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