Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network

Morteza Abbasi, Reza Hosnavi and Mehrdad Mohammadi

Journal of Optimization, 2013, vol. 2013, 1-16

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjopti:543604

DOI: 10.1155/2013/543604

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