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Today, transportation systems are seen as a significant component of people's daily routines. It was stated that nearly forty percent of the world's population passes approximately one hour out each day. Sustainable transportation systems aims to contribute economy and diminish environmental affects by ensuring various benefits as effective city management, energy efficiency, road safety and decreased fuel consumption. Also, sustainable transportation has a key status in logistics and supply chain management. It constructs the principals of sustainable supply chain management. Identification of the most appropriate sustainable transportation service provider needs to consider various factors that are yielded in a hierarchical structure. In this paper, best-worst method (BWM) integrated hierarchical distance based intuitionistic decision making approach to valuate transportation service providers regarding the sustainability factors from social, environmental, economic and operational perspectives. The developed framework manages vague and uncertain data and it enables to present hesitation via intuitionistic fuzzy numbers. Intuitionistic BWM, which do not require to make a pairwise comparisons among criteria is utilized to determine the criteria weights. Moreover, the hierarchical representation of the criteria ensures to conduct an effective analysis. [ABSTRACT FROM AUTHOR]

Today's competitive market conditions and evolved organizational structure compel firms to design their supply chain more efficiently. Supply chain becomes more important because of growing global competence and effectiveness concepts. Therefore, managers endeavor to find best supply chain configuration (SCC) for their firms. This paper investigates the detailed evaluation of supply chain management factors by analyzing relationships and strength of them in order to determine the most appropriate reactions to the risks. 2-tuple linguistic representation model and linguistic hierarchies are used to cope with multi-granular linguistic information. Fuzzy cognitive map (FCM) methodology is employed to determine the most important factors in SCC. FCM methodology is appropriate due to cause-and-effect relationships among factors, positive as well as negative relationships, and the lack of crisp data. The application is conducted in an automobile factory, which is one of the largest manufacturers in Turkey, and the results are analyzed. [ABSTRACT FROM AUTHOR]

Because of the growing global competence and effectiveness concepts, supply chain becomes more important for organizations. Therefore, managers object to find best supply chain configuration for their firms. This study proposes a comprehensive configuration for supply chain management process, and it enables to understand relationships among supply chain integration, supply chain strategies, supply chain risk factors, and performance criteria. By reviewing the literature and using experts' knowledge, supply chain configuration criteria are determined. Intuitionistic fuzzy cognitive map methodology is employed to consider the interrelations between criteria. Intuitionistic fuzzy cognitive map methodology is a suitable tool due to the presence of causalities and relationships among criteria and the difficulty of expressing the interrelations with crisp numbers. It also deals with uncertain and vague data and allows representing hesitation. The application is conducted in an automobile factory, which is one of the largest manufacturers in Turkey. The results show that selection of proper supplier is the most significant supply chain configuration criteria. Thus, the importance of supplier selection criteria is also analyzed as the second phase of the study. [ABSTRACT FROM AUTHOR]

Supplier selection is considered to be one of the most critical activities of purchasing management in a supply chain. Selecting the right suppliers significantly reduces the purchasing cost and improves corporate competitiveness. Diverse methods have been developed to date, which address the needs of the supplier selection process. This article presents a review of non-deterministic analytical methods reported in the literature for supporting the supplier selection decision. The review is based on an extensive search in the academic literature from 2001 to 2013. A taxonomy of the supplier selection methods is presented by classifying the published supplier selection studies into two major categories as stochastic methods and fuzzy methods. These methods are further divided into individual approaches and integrated approaches. The objective of this research is threefold. First, it classifies the existing supplier selection literature according to the methods employed and determines the most prevalently used approaches, and also highlights main advantages and shortcomings of these approaches. Second, recent trends in supplier evaluation and selection methodologies are examined. Finally, this study identifies the most widely used decision criteria for supplier selection. [ABSTRACT FROM PUBLISHER]