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Application of Multi-Attribute Value Theory to Improve Cargo Delivery Planning in Disaster Aftermath
Joint Authors
Mendes, André Bergsten
Brandão Cavalcanti, Luísa
Tsugunobu Yoshida Yoshizaki, Hugo
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-31
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Although many Operational Research models have been applied to disaster response operations, few researchers aim at revealing Decision Makers’ goals or measuring their trade-offs.
This article uses a holistic Multi-Criteria Decision Analysis (MCDA) method to elucidate what objectives to pursue and to create appropriate strategies for planning vital items delivery to victims.
We propose a framework for applying a Multi-Attribute Value Theory technique and test it with a humanitarian Decision Maker.
The resulting mathematical model can be used to evaluate guidelines that make on-field decisions easier, improving (or at least not compromising) their outcomes.
Our contribution to the MCDA field includes the documentation of an alternative generation methodology.
American Psychological Association (APA)
Brandão Cavalcanti, Luísa& Mendes, André Bergsten& Tsugunobu Yoshida Yoshizaki, Hugo. 2017. Application of Multi-Attribute Value Theory to Improve Cargo Delivery Planning in Disaster Aftermath. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1189918
Modern Language Association (MLA)
Brandão Cavalcanti, Luísa…[et al.]. Application of Multi-Attribute Value Theory to Improve Cargo Delivery Planning in Disaster Aftermath. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1189918
American Medical Association (AMA)
Brandão Cavalcanti, Luísa& Mendes, André Bergsten& Tsugunobu Yoshida Yoshizaki, Hugo. Application of Multi-Attribute Value Theory to Improve Cargo Delivery Planning in Disaster Aftermath. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1189918
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189918