Application of Multi-Attribute Value Theory to Improve Cargo Delivery Planning in Disaster Aftermath

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Abstract

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.

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Brandaõ Cavalcanti, L., Bergsten Mendes, A., & Tsugunobu Yoshida Yoshizaki, H. (2017). Application of Multi-Attribute Value Theory to Improve Cargo Delivery Planning in Disaster Aftermath. Mathematical Problems in Engineering, 2017. https://doi.org/10.1155/2017/2720470

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