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Integrated methodology to design and manage work-in-process buffers in repetitive building projects

Author

Listed:
  • V González

    (The University of Auckland, Auckland, New Zealand)

  • L F Alarcón

    (Pontificia Universidad Católica de Chile, Santiago, Chile)

  • T W Yiu

    (The University of Auckland, Auckland, New Zealand)

Abstract

An integrated methodology to design and manage buffers in repetitive building projects using work-in-process at conceptual level is proposed. The buffer design framework employs the Multiobjective Analytic Model and Simulation-Optimisation techniques, applied at strategic and tactical scheduling levels. The buffer management framework uses a statistical model to predict work progress, the Reliable Commitment Model, applied at operational scheduling level. The integrated methodology provides a new buffering approach for scheduling repetitive building projects, which considers: (1) a general production framework covering all the production levels from top to bottom; (2) a general modelling structure suitable to any type of repetitive building project; and (3) a sound theoretical and practical framework describing different production scenarios. The benefits of using this methodology are illustrated through a hypothetical project application.

Suggested Citation

  • V González & L F Alarcón & T W Yiu, 2013. "Integrated methodology to design and manage work-in-process buffers in repetitive building projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1182-1193, August.
  • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:8:p:1182-1193
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    Citations

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    Cited by:

    1. Junguang Zhang & Xiwei Song & Hongyu Chen & Ruixia (Sandy) Shi, 2016. "Determination of critical chain project buffer based on information flow interactions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(9), pages 1146-1157, September.
    2. Zhang, Junguang & Song, Xiwei & Díaz, Estrella, 2016. "Project buffer sizing of a critical chain based on comprehensive resource tightness," European Journal of Operational Research, Elsevier, vol. 248(1), pages 174-182.

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