Proposed a Novel Group Scheduling Problem in a Cellular Manufacturing System

Y. Gholipour-Kanani (), N. Aghajani, R. Tavakkoli-Moghaddam and S. Sadinejad
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Y. Gholipour-Kanani: Islamic Azad University—Qaemshahr Branch
N. Aghajani: Islamic Azad University—Qazvin Branch
R. Tavakkoli-Moghaddam: University of Tehran
S. Sadinejad: Islamic Azad University—Research and Science Branch

Chapter Chapter 89 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 843-853 from Springer

Abstract: Abstract This paper presents a new integrated mathematical model for a cellular manufacturing system and production planning. The aim of this model is to minimize machine purchasing, intra-cell material handling, cell reconfiguration and setup costs. The presented model forms the manufacturing cells and determines the quantity of machines and movements at each period of time that minimizes the aforementioned costs. It is so difficult to find an optimal solution in a reasonable time. Thus, we design and develop a meta-heuristic algorithm based on a genetic algorithm (GA). This proposed algorithm is evaluated, and the related results confirm the efficiency and effectiveness of our proposed GA to provide good solutions, especially for medium and large-sized problems.

Keywords: Cellular manufacturing system; Genetic algorithm; Intra-cell material handling (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_89

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DOI: 10.1007/978-3-642-38391-5_89

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