Last Mile Distribution in Humanitarian Relief

By Burcu Balcik, Benita M. Beamon, Karen R. Smilowitz. Journal of Intelligent Transportation Systems / Taylor & Francis, 2008

588 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/bfc312c06d279259a21492e55da07efc846da55a

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Citations in the corpus

Modeling for the equitable and effective distribution of donated food under capacity constraints (2016, result): “Although disaster-related issues may have different constraints such as urgency or extremely dynamic donor behavior (Hwang, 1999; Balcik et al., 2008; Altay, 2012), there are similarities with our study, such as the need to coordinate the flow ofmaterial from donors to beneficiaries and the objectiv”
City logistics, urban goods distribution and last mile delivery and collection (2017, background): “…logistics (e.g. last mile problem, demand uncertainty, need of coordinated efforts), but humanitarian logistics faces obvious enhanced criticality of any constraints to last mile delivery and collection, as shown by Balcik et al. (2008), Rennemo et al. (2014) and Özdamar and Demir (2012).”
Models for Relief Routing: Equity, Efficiency and Efficacy (2011, background): “In Balcik et al. (2008), routing and supply allocation decisions are considered jointly in distributing multiple types of relief supplies.”
Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review (2016, background): “[44] research is among one of the pioneers in the field of last mile distribution.”
Stochastic Optimization for Natural Disaster Asset Prepositioning (2010, background): “Though nowhere stated formally, humanitarians agree on the fact that the ﬁrst 72 hours after a disaster are critical to provide relief since communities are not expected to stand on their own for much more than that time (Balcik et al. 2008, Fenton 2008a, Weitz 2006).”
A multi-criteria optimization model for humanitarian aid distribution (2011, background): “[4] address the last mile distribution problem considering joint resource allocation and vehicle routing decisions (a mixed integer programming model”
Multiple-objective analysis of integrated relief supply and network restoration in humanitarian logistics operations (2016, background): “Balcik, Beamon, and Smilowitz (2008) develop an integrated preparedness and response model for a last mile distribution system in which a local DC stores inventories and distributes emergency relief supplies to a number of demand locations.”