Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSchätter, F.en
dc.contributor.authorWiens, M.en
dc.contributor.authorSchultmann, F.en
dc.identifier.citationEcosystem Health and Sustainability, 2015; 1(3):1-11en
dc.description.abstractParticularly in the early phases of a disaster, logistical decisions are needed to be made quickly and under high pressure for the decision‐makers, knowing that their decisions may have direct consequences on the affected society and all future decisions. Proactive risk reduction may be helpful in providing decision‐makers with optimal strategies in advance. However, disasters are characterized by severe uncertainty and complexity, limited knowledge about the causes of the disaster, and continuous change of the situation in unpredicted ways. Following these assumptions, we believe that adequate proactive risk reduction measures are not practical. We propose strengthening the focus on ad hoc decision support to capture information in almost real time and to process information efficiently to reveal uncertainties that had not been previously predicted. Therefore, we present an ad hoc decision support system that uses scenario techniques to capture uncertainty by future developments of a situation and an optimization model to compute promising decision options. By combining these aspects in a dynamic manner and integrating new information continuously, it can be ensured that a decision is always based on the best currently available and processed information. And finally, to identify a robust decision option that is provided as a decision recommendation to the decision‐makers, methods of multi‐attribute decision making (MADM) are applied. Our approach is illustrated for a facility location decision problem arising in humanitarian relief logistics where the objective is to identify robust locations for tent hospitals to serve injured people in the immediate aftermath of the Haiti Earthquake 2010.en
dc.description.statementofresponsibilityFrank Schätter, Marcus Wiens and Frank Schultmannen
dc.publisherTaylor & Francisen
dc.rights© 2015 Schätter et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.subjectAd hoc decision support; humanitarian relief logistics; information and communication technology; multi-criteria decision analysis; public safety-critical supply chains; robustness; scenario techniquesen
dc.titleA new focus on risk reduction: an ad hoc decision support system for humanitarian relief logisticsen
dc.typeJournal articleen
pubs.library.collectionEntrepreneurship, Commercialisation, and Innovation Centre publicationsen
Appears in Collections:Entrepreneurship, Commercialisation, and Innovation Centre publications

Files in This Item:
File Description SizeFormat 
hdl_113236.pdfPublished Version669.61 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.