Open AccessEvaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique
Author(s) -
Ömer Faruk Görçün,
S. Senthil,
Hande Küçükönder
Publication year - 2021
Publication title -
decision making. applications in management and engineering/decision making: applications in management and engineering
Language(s) - English
Resource type - Journals
eISSN - 2620-0104
pISSN - 2560-6018
DOI - 10.31181/dmame210402140g
Subject(s) - multiple criteria decision analysis , selection (genetic algorithm) , fuzzy logic , sensitivity (control systems) , task (project management) , process (computing) , operations research , computer science , risk analysis (engineering) , product (mathematics) , engineering , systems engineering , artificial intelligence , business , mathematics , geometry , electronic engineering , operating system
Petroleum product 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.