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Integrated simulation–optimisation of pull control systems

Author

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  • Giulia Pedrielli
  • Arianna Alfieri
  • Andrea Matta

Abstract

Pull policies are considered to be among the most efficient control strategy. Setting the correct parameters to maximise their efficiency is, however, not a trivial task. Simulation–optimisation techniques have received particular attention as a means to solve this problem. Nevertheless, they require the iterative solution of an optimisation model to generate the parameter values and a discrete event simulator to evaluate the resulting system performance. In the framework of simulation-optimisation, this paper proposes a combined solution of the optimisation and simulation problems for the optimal operation of pull control systems under several control strategies. Numerical experiments were performed to evaluate the performance of the proposed technique.

Suggested Citation

  • Giulia Pedrielli & Arianna Alfieri & Andrea Matta, 2015. "Integrated simulation–optimisation of pull control systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(14), pages 4317-4336, July.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:14:p:4317-4336
    DOI: 10.1080/00207543.2014.997404
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    Cited by:

    1. Khayyati, Siamak & Tan, Barış, 2020. "Data-driven control of a production system by using marking-dependent threshold policy," International Journal of Production Economics, Elsevier, vol. 226(C).

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