A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study |
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Authors: | Umut R. Tuzkaya Semih Önüt |
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Affiliation: | 1. Department of Business and Entrepreneurial Management, Kainan University, 1, Kainan Road, Luchu Shiang, Taoyuan 33857, Taiwan;2. Graduate Institute of Management Science, National Chiao Tung University, 1001, Ta-Hsueh Road, Hsinchu 300, Taiwan;3. Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Road, San Shia 237, Taiwan;1. Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, India;2. Department of Computer Science and Engineering, National Institute of Technology Nagaland, Dimapur 797103, India;1. Industrial and Transportation Engineering Department, Federal University of Rio Grande do Sul, Av. Osvaldo Aranha, 99 – 5° andar, Porto Alegre, RS, Brazil;2. Departamento de Ingeniería Civil y Ambiental, Universidad del Norte, Km. 5 Vía a Puerto Colombia, Barranquilla, Colombia;1. Institute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, Spain;2. Instituto de Economía Internacional, University Jaume I de Castellón, Spain;3. Instituto de Economía Internacional, University of Valencia, Spain;4. Institute of Tourism and Sustainable Economic Development, University of Las Palmas GC, Facultad de Economía Empresa y Turismo, módulo D, Campus de Tafira, 35017 Las Palmas G.C., Spain |
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Abstract: | A case study examining the different modes for transportation of freight by a Turkish logistics-service provider company is presented herein. A number of conflicting qualitative and quantitative criteria exist for evaluating alternative modes of transport. Qualitative criteria are often accompanied by ambiguity and vagueness. To cope with ambiguity and vagueness problem, the fuzzy analytic network process (ANP) method has been used. A large number of detailed criteria that interact with each other have been evaluated and synthesized to obtain the most suitable transportation mode. This evaluation has been carried out by a group of decision makers coming from different management levels and functional areas in the sector of logistics and from the service company with intent to provide a more accurate and mutually acceptable solution. Furthermore, the model used here has been validated by comparing the results obtained with the current preferences of the company. |
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