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Design of a facility layout model in hybrid cellular manufacturing systems under variable demand

Author

Listed:
  • Shahram Ariafar
  • Napsiah Ismail
  • Sai Hong Tang
  • Mohd Khairol Anuar Mohd Ariffin
  • Zahra Firoozi

Abstract

Changes in demand, as one of the issues of volatile manufacturing systems, decline the performance of manufacturing systems over the time; especially, it degrades the effectiveness of layout in manufacturing systems. Although the layout of the arrangement of facilities on the shop floor play a significant role in the effectiveness of manufacturing systems, it has not absorbed the attention of researchers in hybrid manufacturing systems. In this paper, a new mathematical model for facility layout in a hybrid cellular manufacturing system has been proposed, which considers demand varying over the planning horizon. The model minimises the material handling cost. To solve the model, a simulated annealing algorithm from literature has been improved. The comparison of results between two algorithms shows the superiority of the improved algorithm in both the quality of solutions and computational time.

Suggested Citation

  • Shahram Ariafar & Napsiah Ismail & Sai Hong Tang & Mohd Khairol Anuar Mohd Ariffin & Zahra Firoozi, 2011. "Design of a facility layout model in hybrid cellular manufacturing systems under variable demand," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 9(4), pages 373-387.
    • Handle: RePEc:ids:ijisen:v:9:y:2011:i:4:p:373-387
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    Cited by:

    1. Ravi Kumar & Surya Prakash Singh, 2018. "Simulated Annealing-Based Embedded Meta-Heuristic Approach to Solve Bi-objective Robust Stochastic Sustainable Cellular Layout," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-93, March.

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