Abstract—Third-party logistics (3PL) selection is one of the
most important decisions for companies to outsource some part
of their activities and concentrate more on its own core
competencies. Because of the significant role of 3PL in total
performance of the supply chain, its selection is a critical act.
This is the most meaningful motivation to generate new
solutions to select the best 3PL using appropriate criteria. These
criteria and their weights are often full of ambiguities. This
makes fuzzy logic a more suitable approach to solve this
problem. In this paper, we aim to present a new evaluation
method using a combined MCDM approach. Fuzzy weighted
and credibility theories are utilized to determine the weights of
criteria, and the graph theory and ABC inventory classification
are used to priorities alternatives. To demonstrate applicability
of the proposed approach, a real case 3PL selection problem is
provided.
Index Terms—Third-party, fuzzy set theory, logistics, graph
theory.
Amir Abbas is with School of Industrial Engineering, Islamic Azad
University, South Tehran Branch, Tehran, Iran (e-mail: amir@ashojaie.com)
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Cite: Amir abbas Shojaie, Amir Reza Soltani, and Mohammad Reza Soltani, "A Fuzzy Integrated Approach for Evaluating Third-Party Logistics," International Journal of Modeling and Optimization vol. 6, no. 4, pp. 206-210, 2016.