An integrated MCDM approach for evaluating the Ro-Ro marine port selection process: a case study in black Sea region

ABSTRACT

Selection of the appropriate Roll-on Roll-off (Ro-Ro) port is one of the crucial tasks for the maritime industry. Because there are many factors affecting the selection process, this selection process is essentially a multi-criteria decision-making problem. This paper proposes a integrated approach consisting of the CRITIC (Criteria Importance Through Intercriteria Correlation) technique and the EDAS (Evaluation based on Distance from Average Solution) method to evaluate the Ro-Ro marine ports selection. The obtained results by using the proposed model have been verified carrying out a comprehensive sensitivity analysis. In accordance with this purpose, 10 different scenarios were established and five MCDM methods were applied to make a comparison. Results obtained using the suggested model were verified in dynamic conditions. The main purpose of this implementation is to determine whether any change in the obtained results for each determined scenario. Carried out sensitivity analysis shows that the suggested hybrid MCDM model consisting of CRITIC and EDAS techniques has validity and the obtained results are accurate and realistic. When the results of the sensitivity analysis are reviewed, it can be seen that the P1 option is the best alternative for all scenarios.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ömer Faruk Görçün

Ömer Faruk Görçün Ph.D. is deputy dean of Applied Science Faculty and member of the International Trade and Logistics Department at the Kadir Has University. He has numerous scientific studies related to logistics, supply chain management, technological improvements in manufacturing and logistics processes, and using the technologic instruments in supply chains. He received his Ph.D. in Institution Marine Science and Administration from Istanbul University. His studies are interested in multi-criteria decision-making, operational research, optimization. He has selected some fields such as logistics, supply chain management, and manufacturing processes, transportation, and warehouse management as a field ofapplication.

Hande Küçükönder

Hande Küçükönder (Ph.D.) is a Vice-Dean of Economics and Administrative Sciences at the Bartin University. She gives many courses in statistical data analysis, Artificial Neural Networks (ANN), Data Mining, Decision-Support Systems and so on. in addition to those, she studies about numerical analysis, statistics, multi-criteria decision-making, and data mining. She got a master's degree in the field of numerical methods and completed doctoral studies about the same area. she has numerous scientific studies about artificial neural networks (ANN), multi-criteria decision-making methods, statistical data analysis.