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Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuation

Bayram, Vedat and Kara, Bahar and Saldanha-da-Gama, Francisco and Yaman, Hande (2023) Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuation. In: Eiselt, H. A. and Marianov, Vladimir, eds. Uncertainty in Facility Location Problems. International Series in Operations Research & Management Science . Springer. ISBN 978-3-031-32337-9. (doi:10.1007/978-3-031-32338-6_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:102954)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1007/978-3-031-32338-6_4

Abstract

This chapter focuses on a major area emerging in the context of humanitarian logistics: emergency evacuation planning and management. Two major aspects are covered: shelter site location and evacuation traffic assignment. Both are discussed separately before an integrated problem is considered. Throughout the chapter, uncertainty in the underlying parameters is assumed. The major sources of uncertainty analyzed are the demand for sheltering and capacity of the edges in the underlying network. Congestion issues emerge in this context that are also considered. Different paradigms for capturing uncertainty are considered for illustrative purposes, namely, robust optimization, chance-constrained programming, and stochastic programming.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-031-32338-6_4
Uncontrolled keywords: Humanitarian logistics; Uncertainty; Shelter site location; Evacuation traffic assignment; Mathematical models
Subjects: Q Science > Operations Research - Theory
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Vedat Bayram
Date Deposited: 26 Sep 2023 09:24 UTC
Last Modified: 27 Sep 2023 10:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/102954 (The current URI for this page, for reference purposes)

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