Stochastic last mile relief network design with resource reallocation

Kahvecioğlu, Gökçe (2014) Stochastic last mile relief network design with resource reallocation. [Thesis]

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We study a last mile distribution network design problem for situations where there exist local distribution centers (LDCs) with pre-positioned supplies. Given the information on the existing pre-disaster relief network, the problem determines the locations and capacities of LDCs and points of distribution in the relief network, while capturing the uncertain aspects of the post-disaster environment. We introduce new accessibility metrics, and develop two alternate two-stage stochastic optimization models that would allow more accessible and equitable distribution of relief supplies. Since solving the proposed optimization models is computationally challenging, we employ decomposition-based branch-and-cut algorithms. We perform numerical analysis based on the real-world data from the 2011 Van earthquake in Turkey to provide insights about the proposed models, and also conduct a computational study that demonstrates the effectiveness of the solution method.
Item Type: Thesis
Uncontrolled Keywords: Last mile relief. -- Metwork design. -- Humanitarian relief. -- facility location. -- Inventory reallocation. -- Accessibility. -- Equity. -- Mathematical programming. -- Stochastic integer programming. -- L-shaped method. -- Branch-and-cut. -- Afet sonrası müdahale. -- Ağ tasarımı. -- İnsani yardım. -- Tesis yerleştirme. -- Yeniden envanter paylaştırma. -- Erişilebilirlik. -- Eşitlik. -- Matematiksel modelleme. --Rassal tamsayılı programlama. -- L-şekilli yöntem. -- Dal-ve-kesi.
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Depositing User: IC-Cataloging
Date Deposited: 22 Jun 2017 10:35
Last Modified: 26 Apr 2022 10:10

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