Facility location and item pre-positioning for humanitarian relief systems under uncertain demand and road-facility vulnerabilities

Aslan, Ece
Disasters may have devastating effect on human life as well as economy, and Turkey is a disaster prone country, especially to earthquakes. This study aims to propose a multi-echelon humanitarian logistics network design by incorporation of demand uncertainty and road-facility vulnerabilities with an application to a possible earthquake scenario in Istanbul region of Turkey. In frame of the study, a two stage stochastic programming model is formulated. In the first stage, warehouse and distribution center locations as well as inventory pre-positioning decisions are made, whereas in the second stage, relief distribution decisions are made. The stochastic model considers different demand scenarios and also road and facility vulnerabilities are incorporated as discrete binary scenario sets into the baseline model. The model is executed under efficiency and equity based objective functions, to analyze the effect of different objective measures to model key performance measures. Sample average approximation heuristic method is utilized for the solution of the proposed mathematical model. A sensitivity analysis is conducted on the baseline model to see the effect of vulnerability as well as other parameters such as budget and facility capabilities on the results and model key performance measures.


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Citation Formats
E. Aslan, “Facility location and item pre-positioning for humanitarian relief systems under uncertain demand and road-facility vulnerabilities,” M.S. - Master of Science, Middle East Technical University, 2016.