Location selection of city logistics centers under sustainability |
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| Affiliation: | 1. Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China;2. College of Mathematics and Physics, Huanggang Normal University, Huanggang 438000, PR China;3. School of Business IT and Logistics and Platform Technologies Research Institute, RMIT University, Australia;4. School of Economics and Management, Wuhan University, Wuhan 430072, PR China;1. IADI Inserm U947, Lorraine University, 4 Rue Du Morvan, 54500, Vandoeuvre lès Nancy, France;2. CIC-IT Nancy, Inserm CIC1433, 4 Rue Du Morvan, 54500, Vandoeuvre lès Nancy, France;3. Regional Maternity of University of Nancy, 10 Rue Heydenreich, 54000, Nancy, France;4. The Neurointerventional Department, CHRU of Nancy, 54000, Nancy, France;1. Department of Industrial Engineering, Gaziantep University, 27310 Gaziantep, Turkey;2. Department of Geomatics Engineering, Turkish Military Academy, 06654 Ankara, Turkey;3. Department of Civil Engineering, Nişantaşı University, 34380 Istanbul, Turkey;4. Department of Industrial Engineering, Gazi University, 06500 Ankara, Turkey;1. Int’l Logistics & Transportation Dept, Piri Reis University, İstanbul, Turkey;2. Turkish Management Science Institute (TÜBITAK TÜSSIDE), Kocaeli, Turkey;3. Ind.Eng.Dept, Yıldız Technical University, Istanbul, Turkey;1. Department of Industrial Engineering, University of Jeddah, Jeddah, Saudi Arabia;2. Department of Infrastructure Engineering, University of Melbourne, Parkville, Victoria 3010, Australia |
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| Abstract: | City Logistics Centers (CLC) are an important part of the modern urban logistics system, and the selection of the location of a CLC has become a key problem in logistics and supply chain management. Integrating the economic, environmental, and social dimensions of sustainable development, this paper presents a new evaluation system for the location selection of a CLC from a sustainability perspective. A fuzzy multi-attribute group decision making (FMAGDM) technique based on a linguistic 2-tuple is used to evaluate potential alternative CLC locations. In this method, the linguistic evaluation values of all the evaluation criteria are transformed into linguistic 2-tuples. A new 2-tuple hybrid ordered weighted averaging (THOWA) operator is presented to aggregate the overall evaluation values of all experts into a collective evaluation value for each alternative, which is then used to rank and select alternative CLC locations. An application example is provided to validate the method developed and to highlight the implementation, practicality, and effectiveness by comparing with the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. |
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| Keywords: | City logistics centers Location selection Sustainability THOWA operator TOPSIS |
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