Operational Research in Engineering Sciences

Journal DOI: https://doi.org/10.31181/oresta190101s

(A Journal of Management and Engineering) ISSN 2620-1607 | ISSN 2620-1747 |

OFFSHORE PORT ALLOCATION AND INVESTMENT: AN OPTIMIZATION FRAMEWORK

Quy Nguyen Minh ,
Lecturer Hanoi University of Civil Engineering, 55 Giai Phong, Hanoi, Vietnam
Golam Kabir ,
Associate Professor Industrial Systems Engineering, University of Regina, Wascana Pkwy, Regina, SK, Canada
Rehan Sadiq ,
Professor School of Engineering Faculty of Applied Science, The University of British Columbia, Okanagan Campus (UBCO), Kelowna, Canada

Abstract

Appropriate port location selection is critical to achieve the competitiveness and effectiveness of transportation, distribution, and the entire global supply chain and to bolster the local, regional, and national economies. The objective of this study is to develop a new framework to select the optimal location for the offshore port. The framework includes multicriteria decision-making (MCDM) methods along with experts’ judgment and a simulation-based model of the facility's performance. At first, the Rough Analytical Hierarchy Process (AHP) and Rough Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are utilized to preliminarily prioritize the alternative locations. After that, the port performance of selected locations with their corresponding transport distances over the lifetime of the project is assessed via simulation-based experiments. Finally, life cycle costing (LCC) is performed for the final assessment of each port location. The proposed framework is examined for Cua Lo Petrol Base in Vietnam as a case study. The result of the study indicated that the optimal location unveiled by simulation experiments is not always the first-ranking location based on the MCDM. The outcome of this study will assist port and marine investors to find the optimum location for port planning in terms of technical and economic viewpoints.

Keywords
Offshore Mooring, Optimal Location, Maritime Simulation, AHP, TOPSIS, Cost-benefit Analysis.

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SCImago Journal & Country Rank

CiteScore for Management Science and Operations Research

8.1
2021CiteScore
 
 
89th percentile
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CiteScore for Engineering (miscellaneous)

8.1
2021CiteScore
 
 
93rd percentile
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