Facility location in humanitarian relief

By Burcu Balcik, Benita M. Beamon. 2008

1,171 citations recorded by the source corpus.

Subfields: Building and Construction, Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/a0ba6e1d84017b45faa47945b405ecc5aca53b28

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In Building and Construction

In Industrial and Manufacturing Engineering

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Citations in the corpus

Transforming humanitarian logistics: the journey to supply network management (2010, neutral): “…measurement and management techniques (e.g. Beamon and Balcik, 2008; Schulz and Haigh, 2009); for the employment of operations research (OR) methodologies (e.g. Beamon and Kotleba, 2007; Balcik and Beamon, 2008); and for the use of critical success factors (CSFs) (Pettit and Beresford, 2009).”
A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty (2011, background): “Balcik and Beamon (2008) presented a maximally covered location model of pre-positioning relief commodities in order to determine the number, locations, and capacities of the relief distribution centers (RDCs) as well as when the demand for relief commodities can be met by suppliers and warehouses. ”
Pre-Positioning of Emergency Items for CARE International (2011, background): “Our work relates closely to that of Balcik and Beamon (2008). Specifically, we find the optimal number and location of pre-positioning warehouses given that demand for relief supplies can be met from both pre-positioned warehouses and suppliers.”
Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review (2016, background): “For instance, Balcik and Beamon [21] suggested a facility location problem in the postdisaster scenario.”
Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting (2020, background): “Moreover, the unpredictability and surges in demand, coupled with scant resources, are the main characteristics of the humanitarian settings (Balcik and Beamon 2008; Kovács and Spens 2009; Altay and Labonte 2014; Altay and Pal 2014; Altay et al. 2018; Ni et al. 2019).”
Stochastic optimization models for location and inventory prepositioning of disaster relief supplies (2020, background): “, 2021), and maximizing the expected satisfied demand or minimizing expected shortage of relief items (Balcik and Beamon, 2008).”
Humanitarian logistics network design under mixed uncertainty (2016, positive): “In this way, this research contributes to the literature of optimization-based approaches of HRCs and provides empirical evidence to demonstrate applicability of the proposed approach based on real data for earthquake preparedness in Tehran.”
Supplier Selection for Framework Agreements in Humanitarian Relief (2014, background): “In pre-positioning, relief organizations keep physical inventory at strategic locations to deal with demand uncertainty and accelerate disaster response; however, warehousing and inventory costs can be very high (Balcik and Beamon 2008).”
Optimization models in emergency logistics: A literature review (2012, background): “The key challenges to emergency logistics planning as compared to the business logistics case are highlighted in Balcik and Beamon [4] and Sheu [58] as:”
Risk-averse two-stage stochastic programming with an application to disaster management (2012, background): “Several two-stage stochastic programming problems are proposed for disaster management among others by Barbarosoǧlu and Arda [14], Balcik and Beamon [15], and Rawls and Turnquist [16].”