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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(4): 206-210 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.528

A Fuzzy Integrated Approach for Evaluating Third-Party Logistics

Amir abbas Shojaie, Amir Reza Soltani, and Mohammad Reza Soltani

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)


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.

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