Criteria for Selection of Transportation Vehicles According to Cargo Companies Using Fuzzy Methods

Criteria for Selection of Transportation Vehicles According to Cargo Companies Using Fuzzy Methods

Ayşe Topal, Ali Aygün Yürüyen, Alptekin Ulutaş, Darjan Karabasevic, Çağatay Karaköy
DOI: 10.4018/978-1-7998-8040-0.ch010
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Freight transportation is one of the most important and costly operations in logistics as economy and society are significantly depended on freight transportation for the sustainability of life. Vehicle selection in freight transportation is a crucial and strategic decision as it requires high investments, and if the desired performance cannot be achieved from these vehicles, which were bought at a high expense, they would inevitably be idle. Vehicle selection problem in logistics is essentially a multi-criteria decision problem as it consists of several criteria, some conflicting with each other. The aim of this research is to find out which criteria freight companies value the most when assessing and selecting the vehicles they use on the road by using fuzzy BWM and fuzzy SWARA methods. Since the number of studies using fuzzy BWM and fuzzy SWARA is low in the literature and there are few studies in the literature related to transportation vehicle selection in the logistics, this study will contribute to the literature.
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Literature Review

Most of the studies about vehicle selection focus on vehicles used for private purposes not commercial. Also, they are mainly using mathematical and computational approaches to solve vehicle selection problem. Hybrid tests, in which multi-criteria approaches are used individually or in combination, are often used in studies on individual vehicle selection. However, there are few studies about transportation vehicle selection in logistics using multi-criteria decision methods in the literature, which are listed below.

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