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A robust possibilistic optimization approach to disaster relief logistics network design problem

Credit to Download: 1 | Page Numbers 14 | Abstract Views: 104
Year: 2017
COI code: IIEC14_018
Paper Language: English

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Authors A robust possibilistic optimization approach to disaster relief logistics network design problem

  armin jabbarzadeh - Iran University of Science and Technology (IUST), Tehran, Iran
  parmis emady - Iran University of Science and Technology (IUST), Tehran, Iran
  saeed rastegar - Iran University of Science and Technology (IUST), Tehran, Iran

Abstract:

In this paper, a dynamic multimodal multi-commodity disaster relief logistics network based on the Federal Emergency Management Agency (FEMA) structure has been proposed. The network consists of multiple actors including Vendors, governmental and commercial storage sites and local points of distribution. The objective of the model is to minimize weighted sum of unmet demand. Total costs and fairness in distribution have also been considered in the form of constraints. Uncertainties in demand, cost and importance weight of demand nodes are taken into account as trapezoidal fuzzy parameters and the resultant model is solved using a robust possibilistic programming approach. The proposed approach has been applied to a real case study in northern Tehran and the results have been thoroughly analysed.

Keywords:

Humanitarian relief logistics, Supply chain network design, uncertainty, robust possibilistic optimization

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COI code: IIEC14_018

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jabbarzadeh, armin; parmis emady & saeed rastegar, 2017, A robust possibilistic optimization approach to disaster relief logistics network design problem, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_018.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: (jabbarzadeh, armin; parmis emady & saeed rastegar, 2017)
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Type: state university
Paper No.: 20366
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