Quotation Burkart, Christian, Nolz, Pamela C., Gutjahr, Walter J. 2016. Modelling beneficiaries' choice in disaster relief logistics. Annals of Operations Research , 1-21.




This paper introduces the element of beneficiaries’ choice into a location-routing problem for disaster relief logistics suited for decision support systems. Decision makers in humanitarian logistics face the challenge where to establish distribution centers (DCs) for relief goods. For this purpose, two objectives are considered: the impact of the relief operations on the beneficiaries and the efficient use of monetary resources. The proposed multi-objective location-routing model minimizes unserved demand as well as cost for opening DCs and for routing relief goods. It anticipates the choice of beneficiaries to which DC to go (if at all), based on a model adopted from the literature on competitive location analysis. A mathematical programming formulation is presented. For small instances, the Pareto front can be determined exactly using an epsilon constraint method. For solving also realistic instances, an evolutionary algorithm has been implemented and evaluated. The algorithms are tested on real-world instances from Mozambique. The results show that when designing a distribution network, improvements can be achieved by taking the predicted behavior of beneficiaries into account.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Annals of Operations Research
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, STRAT-B, WH-B
Language English
Title Modelling beneficiaries' choice in disaster relief logistics
Year 2016
Page from 1
Page to 21
Reviewed? Y
DOI http://dx.doi.org/10.1007/s10479-015-2097-9


Burkart, Christian (Details)
Gutjahr, Walter J. (Universität Wien, Austria)
Nolz, Pamela C. (Austrian Institute of Technology, Austria)
Institute for Transport and Logistics Management (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1121 Operations research (Details)
5330 Site selection (Details)
5332 Transport economics (Details)
5363 Non-profit-sector research (NPO, NPI) (Details)
Google Scholar: Search