Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network. (18th June 2013)

• Record Type: Journal Article
• Authors: Abbasi, Morteza; Hosnavi, Reza; Mohammadi, Mehrdad
• Other Names: Lee Zne-Jung Academic Editor.
• Is Part Of: Journal of optimization. Volume 2013(2013)
• Publication Date: 2013-06-18
• Subjects: Mathematical optimization -- Periodicals; Structural optimization -- Periodicals; Mathematical optimization; Structural optimization; Periodicals; Electronic journals; 519.6
• DOI: 10.1155/2013/543604
• Languages: English
• ISSNs: 2356-752X

Abstract

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.