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A study on the importance of selection rules within unbalanced MTO POLCA-controlled production systems

Author

Listed:
  • Marcello Braglia
  • Davide Castellano
  • Marco Frosolini

Abstract

The present paper is aimed at investigating, through simulation, the behaviour of the POLCA method when a make-to-order (MTO) production system is highly unbalanced, in terms of both routings and times. In particular, the study is addressed to verify: 1) the effective capability of the POLCA method to improve the uncontrolled system; 2) the impact of how orders are processed at each workstation, to show that POLCA performance can be further improved in such circumstances by adopting an appropriate selection rule. Germs and Riezebos (2010) proved that POLCA is very effective in reducing the total throughput time (TTT) with respect to the corresponding unconstrained production systems. Owing to this, it appears evident that POLCA represents a valuable and effective make-to-order (MTO) production control method. However, they only considered balanced systems, hence some observations must be carefully addressed. In fact, often, in real world applications, the systems to be controlled are designed to process units with very different routings, each with significantly different probability to occur.

Suggested Citation

  • Marcello Braglia & Davide Castellano & Marco Frosolini, 2015. "A study on the importance of selection rules within unbalanced MTO POLCA-controlled production systems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 20(4), pages 457-468.
    • Handle: RePEc:ids:ijisen:v:20:y:2015:i:4:p:457-468
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    Cited by:

    1. Maico Roris Severino & Moacir Godinho Filho, 2019. "POLCA system for supply chain management: simulation in the automotive industry," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1271-1289, March.
    2. Fernando José Gómez Paredes & Moacir Godinho Filho & Matthias Thürer & Nuno O. Fernandes & Charbel José Chiappeta Jabbour, 2022. "Factors for choosing production control systems in make-to-order shops: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 639-674, March.

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