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Proposed a Novel Group Scheduling Problem in a Cellular Manufacturing System

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • 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)

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.

Suggested Citation

  • Y. Gholipour-Kanani & N. Aghajani & R. Tavakkoli-Moghaddam & S. Sadinejad, 2013. "Proposed a Novel Group Scheduling Problem in a Cellular Manufacturing System," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 843-853, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_89
    DOI: 10.1007/978-3-642-38391-5_89
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