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The ConWip production control system: a systematic review and classification

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  • Yann Jaegler
  • Anicia Jaegler
  • Patrick Burlat
  • Samir Lamouri
  • Damien Trentesaux

Abstract

In the past decade, a growing body of literature has investigated the CONstant Work In Progress (ConWip) production control system (PCS). In view of the current industrial challenges entailing adaptability, product customisation, decreasing leadtimes and customer satisfaction, ConWip seems to be an effective and adaptive PCS for manufacturers. This paper aims to update the last ConWip systematic review that dates back to 2003 and to provide a guide for understanding through an original classification method. This method enables the differentiation of papers that concentrate on ConWip sizing, performance and context as well as a comparison with other PCSs. In addition to providing a key to interpreting the research approaches, the criteria considered answers questions on how to implement, how to optimise and why and when to use ConWip. Finally, the most relevant research avenues are highlighted to provide future lines of research.

Suggested Citation

  • Yann Jaegler & Anicia Jaegler & Patrick Burlat & Samir Lamouri & Damien Trentesaux, 2018. "The ConWip production control system: a systematic review and classification," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5736-5757, September.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:17:p:5736-5757
    DOI: 10.1080/00207543.2017.1380325
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    Citations

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    Cited by:

    1. Thürer, Matthias & Stevenson, Mark, 2021. "Improving superfluous load avoidance release (SLAR): A new load-based SLAR mechanism," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Unai Apaolaza & Aitor Orue & Aitor Lizarralde & Aitor Oyarbide-Zubillaga, 2022. "Competitive Improvement through Integrated Management of Sales and Operations," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    3. Latifa Benhamou & Samir Lamouri & Patrick Burlat & Vincent Giard, 2023. "Digital Twin: An Added Value for Digital CONWIP in the Context of Industry 4.0," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    4. M. Woschank & P. Dallasega & A. König & M. Hoffelner, 2024. "Potentials of using real-time data to increase the update frequency of production planning and control strategies in MTO: a discrete event simulation study," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 760-779, September.
    5. Gosavi, Abhijit & Gosavi, Aparna A., 2024. "CONWIP control in the digitized world: The case of the cyber-physical jobshop," International Journal of Production Economics, Elsevier, vol. 270(C).
    6. Stefan Haeussler & Philipp Neuner & Matthias Thürer, 2023. "Balancing earliness and tardiness within workload control order release: an assessment by simulation," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 487-508, June.
    7. 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.
    8. Wolfgang Seiringer & Balwin Bokor & Klaus Altendorfer, 2024. "Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study," Papers 2405.02015, arXiv.org, revised Nov 2024.

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