Browsing by Author "Senthil, S."

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Citation - Scopus: 92
Evaluation of Tanker Vehicle Selection Using a Novel Hybrid Fuzzy Mcdm Technique
(Regional Association for Security and crisis management, 2021) Görçün, Ömer Faruk; Senthill, S; Senthil, S.; Küçükönder, Hande
Petroleum products transportation considered as one of the crucial parts of dangerous material transportation is a risky logistics activity. The selection of the appropriate tanker vehicles may be a suitable solution to reduce the risks and increase the efficiency and performance of the fuel transportation companies. However, the selection of a suitable road tanker vehicle is not an easy task for decision-makers as there are many conflicting criteria and many decision alternatives. In addition, decision-makers may have to decide with insufficient information since collecting crisp values may not be possible at all times. Hence, many ambiguities affecting the evaluation results exist in an assessment process performed to select the best tanker vehicle option. This paper suggests a novel integrated fuzzy approach to solve these decision-making problems. Sensitivity analysis is conducted to test the validation of the proposed integrated fuzzy approach and its results was performed by forming 130 scenarios. The results of sensitivity analysis prove that the proposed model can be applied to solve these kinds of decision-making problems.
Citation - WoS: 4
Citation - Scopus: 8
Evaluation of the Second-Hand Lng Tanker Vessels Using Fuzzy Mcgdm Approach Based on the Interval Type-2 Fuzzy Aras (it2f-Aras) Technique
(Pergamon-elsevier Science Ltd, 2024) Gorcun, Omer Faruk; Kundu, Pradip; Kucukonder, Hande; Senthil, S.
Selecting appropriate LNG tankers is paramount in the maritime sector. Opting for suitable second-hand LNG vessels is a significant and efficient strategy for managing transportation operations effectively and meeting industry standards. Given LNG tanker specifications and shipbuilding capacity, the second-hand LNG tanker market adequately meets maritime industry demands. Thus, there is a strong motivation to evaluate the current second-hand vessel market. However, uncertainties prevail, necessitating decision-makers to employ a resilient and practical methodological framework to address uncertainties and complex decision-making scenarios effectively. This study proposes a decision-making framework integrating the Delphi and Additive Ratio Assessment (ARAS) methods, leveraging interval type-2 fuzzy sets (IT2FSs). This framework resolves real-life challenges associated with selecting second-hand LNG tankers, demonstrating the practicality of the approach. Using IT2FSs, the Delphi method identifies critical criteria influencing second-hand tanker vessel selection. "Cargo carriage capacity" emerged as the most influential criterion, followed by "purchasing costs" and "year of construction." Moreover, "Mediterranean Energy" was deemed the most suitable second-hand LNG tanker among the six alternatives assessed. Thorough sensitivity analysis validated the proposed model and its implications, confirming its validity and applicability.