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Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network

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  • Morteza Abbasi
  • Reza Hosnavi
  • Mehrdad Mohammadi

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.

Suggested Citation

  • Morteza Abbasi & Reza Hosnavi & Mehrdad Mohammadi, 2013. "Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network," Journal of Optimization, Hindawi, vol. 2013, pages 1-16, June.
    • Handle: RePEc:hin:jjopti:543604
    DOI: 10.1155/2013/543604
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    References listed on IDEAS

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