Abstract

Because of global competitive pressure and collaborative supply chain management development extensively, many enterprises begin implementing the supply chain alliances. The selection of a suitable partner for supply chain alliance in a logistics value chain is not an easy decision and is associated with uncertainty and complexity. The aim of this research is to propose a multi-criteria decision-making approach to effectively evaluate logistics-based supply chain alliance partners. First, identify the strategic main and sub-criteria of alliance partner selection that supply chains consider the most important. After constructing the evaluation criteria hierarchy, calculate the criteria weights by applying the fuzzy analytical heirarchy process (AHP) method. Finally, conduct the fuzzy TOPSIS to achieve the final partner-ranking results. A case study is also given to demonstrate the potential of the methodology.

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