Pre-positioning of Emergency Supplies for Disaster Response

By Carmen G. Rawls, Mark A. Turnquist. 2006 IEEE International Symposium on Technology and Society, 2006

881 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ocean Engineering, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/328fb990592c3160d9caea593a67f2329b7a3d8e

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In Civil and Structural Engineering

In Ocean Engineering

In Organizational Behavior and Human Resource Management

Citations in the corpus

Optimization models in emergency logistics: A literature review (2012, background): “Those models delve into many novel aspects, such as prioritized organizational structure [13], budget constraints [45], unmet demand costs [46,51,53], facility expansion [67], and different types of facilities [32].”
A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty (2011, background): “…of emergency commodities and necessity items by probabilistic scenarios representing disasters and their outcomes (see, e.g., Cormican et al. 1998; Barbarosoglu and Arda 2004; Beraldi et al. 2004; Chang et al. 2007; Beraldi and Bruni 2009; Mete and Zabinsky 2010; Rawls and Turnsquist 2010).”
Fair division with uncertain needs (2018, background): “…growing literature on pre-committed resource allocation with uncertain needs in many practical fields such as emergency control, project management, and network design (e.g., Johansson and Sternad (2005), Rawls and Turnquist (2010), Turnquist and Nozick (2003), Wex, Schryen, and Neumann (2012)).”
Multi-stage distributionally robust optimization with risk aversion (2021, background): “A large number of significant applications have been found in different fields, such as financial planning ([29, 10]), supply chain management ([45, 47, 32, 41, 38, 25, 37]), multi-activity tour scheduling ([36, 40]), signal processing ([20, 21]) and pre-positioning of emergency supplies ([39]), etc”
Stochastic optimization models for location and inventory prepositioning of disaster relief supplies (2020, background): “As in prior literature (Ni et al., 2018; Rawls and Turnquist, 2010; Sabbaghtorkan et al., 2020; Velasquez et al., 2020), in the computational study, we restrict ourselves to a one disaster per disaster-prone node, i.”
Risk-averse two-stage stochastic programming with an application to disaster management (2012, methodology): “To this end, a heuristic based on a Lagrangian relaxation has been proposed by Rawls and Turnquist [16].”
Stochastic network design for disaster preparedness (2015, methodology): “The description of the structure of the network was first presented in Rawls and Turnquist (2010).”
Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review (2016, methodology): “Rawls and Turnquist [91] Preparation and response phase (location-allocation model) Demand and route reliability Two models (1) Mixed-integer linear program (2) Mixed-integer nonlinear program Lagrangian L-shaped method heuristic algorithm”