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

Civil Engineering

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