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Journal of Optimization
Volume 2013, Article ID 543604, 16 pages
http://dx.doi.org/10.1155/2013/543604
Research Article

Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network

Department of Management and Soft Technologies, Malek Ashtar University of Technology, P.O. Box 1774/15875, Tehran, Iran

Received 28 February 2013; Revised 30 May 2013; Accepted 30 May 2013

Academic Editor: Zne-Jung Lee

Copyright © 2013 Morteza Abbasi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper integrates production, distribution and logistics activities at the strategic decision making level, where the objective is to design a multiechelon supply chain network considering agility as a key design criterion. A network with five echelons of supply chains including suppliers, plants, distribution centers, cross-docks, and customer zones is addressed in this paper. The problem has been mathematically formulated as a biobjective optimization model that aims to minimize the cost (fixed and variable) and maximize the plant flexibility and volume flexibility. A novel multiobjective parallel simulating annealing algorithm (MOPSA) is proposed to obtain the Pareto-optimal solutions of the problem. The performance of the proposed solution algorithm is compared with two well-known metaheuristics, namely, nondominated sorting genetic algorithm (NSGA-II) and Pareto archive evolution strategy (PAES). Computational results show that MOPSA outperforms the other metaheuristics.