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Bottlenecks in serial production lines: A system-theoretic approach

Author

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  • C.-T. Kuo
  • J.-T. Lim
  • S. M. Meerkov

Abstract

In this work, a new definition of production systems bottlenecks is formulated and analyzed. Specifically, a machine is defined as the bottleneck if the sensitivity of the system's performance index to this machine's production rate in isolation is the largest. Although appealing from the systems point of view, this definition suffers a deficiency due to the fact that the sensitivities involved cannot be either measured on-line or efficiently calculated off-line. To avoid this, the paper develops a method based on indirect but real-time data. From this point of view, the main result of the work is as follows: The bottleneck machine in a serial production line can be identified by analyzing relationships between the so-called manufacturing blockage and manufacturing starvation of each machine. This leads to a simple rule for bottleneck identification. The rule requires neither the calculation of the production rate sensitivities nor the production rate itself. When the probabilities of manufacturing blockages and starvations are not available from on-line measurements, the paper presents their analytical estimates which, under certain conditions, can be used for bottleneck identification. Finally, a case study at an automotive component plant is described.

Suggested Citation

  • C.-T. Kuo & J.-T. Lim & S. M. Meerkov, 1996. "Bottlenecks in serial production lines: A system-theoretic approach," Mathematical Problems in Engineering, Hindawi, vol. 2, pages 1-44, January.
  • Handle: RePEc:hin:jnlmpe:853949
    DOI: 10.1155/S1024123X96000348
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    Cited by:

    1. Simon Li & Bahareh Eshragh & Akposeiyifa Joseph Ebufegha, 2023. "Simulation-Based Study of the Resilience of Flexible Manufacturing Layouts Subject to Uncertain Demands of Product Variants," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
    2. Musa Asta & Nehemiah Danjuma & Abubakar Attahiru Kaoje & Abubakar Muhammad & Teryila Ogoja, 2020. "Application of Bottleneck Analysis (BNA) Methodology for Primary Healthcare Review in Kebbi State Nigeria," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 7(9), pages 303-316, September.

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