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Evaluation of cellular manufacturing configurations in dynamic conditions using simulation

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Abstract

This paper investigates the performance of classical cellular manufacturing systems compared to other two systems proposed in literature: fractal cells and remainder cells. This paper proposes three strategies to control a cellular manufacturing system with remainder cell and how to configure and control a fractal manufacturing system. The performance measures of the manufacturing systems are analyzed when several unforeseen events occur as: machine breakdowns, production mix changes, demand fluctuations, and processing time variability. A simulation environment developed by Arena® package was used to investigate the three manufacturing system configurations. The performance measures investigated are: throughput, throughput times of the parts, work in process, manufacturing utilization, and due date performance (tardiness). The simulation results show how the fractal and remainder cells can be a valid alternative to cellular manufacturing systems in a very dynamic environment.

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Authors and Affiliations

  1. University of Basilicata, Potenza, Italy

    Paolo Renna & Michele Ambrico

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  1. Paolo Renna
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  2. Michele Ambrico
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Correspondence to Paolo Renna.

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Renna, P., Ambrico, M. Evaluation of cellular manufacturing configurations in dynamic conditions using simulation. Int J Adv Manuf Technol 56, 1235–1251 (2011). https://doi.org/10.1007/s00170-011-3255-0

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  • DOI: https://doi.org/10.1007/s00170-011-3255-0

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