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Multi-objective seaport planning by MOORA decision making

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  • Willem Brauers

Abstract

An approach is needed to localize in an optimal way a seaport facing different indicators, criteria or objectives sometimes from different groups or individuals. The internal mechanical solution of a Ratio System, producing dimensionless numbers, is preferred to Cost-Benefit or to Weights which most of the time are used to equalize the different units. The ratio system creates the opportunity to use a second approach: a non-subjective Reference Point Theory based on the found ratios. The two approaches form a control on each other. This theory is called MOORA (Multi-Objective Optimization by Ratio Analysis). As an application a ranking is made for the best location of a new seaport or for the expansion of an existing one given a set of objectives to be fulfilled. Copyright Springer Science+Business Media New York 2013

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  • Willem Brauers, 2013. "Multi-objective seaport planning by MOORA decision making," Annals of Operations Research, Springer, vol. 206(1), pages 39-58, July.
    • Handle: RePEc:spr:annopr:v:206:y:2013:i:1:p:39-58:10.1007/s10479-013-1314-7
    DOI: 10.1007/s10479-013-1314-7
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    Cited by:

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    2. Willem K. M. Brauers, 2018. "Location Theory and Multi-Criteria Decision Making: An Application of the MOORA Method," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(3), September.
    3. Leonardo Ensslin & Vinicius Dezem & Ademar Dutra & Sandra Rolim Ensslin & Karine Somensi, 2018. "Seaport-performance tools: an analysis of the international literature," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 587-602, December.
    4. Srivastava, Akanksha & Parmar, Dipteek & Pamucar, Dragan, 2023. "Comparing multi-criteria models for ranking the Performance of India's water supply utilities," Utilities Policy, Elsevier, vol. 84(C).
    5. Gülçin Canbulut & Erkan Köse & Oğuzhan Ahmet Arik, 2022. "Public transportation vehicle selection by the grey relational analysis method," Public Transport, Springer, vol. 14(2), pages 367-384, June.

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