It is clearly known that urban freight transportation has a significant role on sustainable development of urban areas. The persistent growth of the costs of freight transportation and as a result of congestion, environmental pollution and increasing inefficient usage of land in urban areas are forcing users and public authorities to develop alternative logistic solutions to relieve the freight traffic problem. Establishing logistics centers is one of these alternative solutions. Logistics centers are specific centers that various logistic based activities like distribution, storage, transportation, consolidation, handling, customs clearance, imports, exports, transit processes, infrastructural services, insurance, banking and similar commercial activities are performed. These centers are defined for national and international all logistic and related operations. Logistic centers must be settled near production and commercial centers, highways, railways, airports and if possible seaports. In this study we proposed a fuzzy TOPSIS approach to a logistics center location selection problem in eastern anatolia region of Turkey.
Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM) approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP) technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model.
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