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

Ayşe Topal, Ali Aygün Yürüyen, A. Ulutaş, D. Karabašević, Çağatay Karaköy
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Abstract

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.
基于模糊方法的货运企业运输车辆选择准则
货物运输是物流业中最重要和最昂贵的业务之一,经济和社会的可持续发展都严重依赖于货物运输。货物运输中的车辆选择是一项至关重要的战略决策,因为它需要高投资,如果这些车辆不能达到预期的性能,那么这些车辆将不可避免地闲置。物流车辆选择问题本质上是一个多准则决策问题,它由多个准则组成,其中一些准则相互冲突。本研究的目的是利用模糊BWM和模糊SWARA方法,找出货运公司在评估和选择道路上使用的车辆时最重视的标准。由于文献中使用模糊BWM和模糊SWARA的研究较少,而与物流中运输车辆选择相关的文献研究较少,因此本研究将对文献有所贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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