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Incorporation of resource reliability into critical chain project management buffer sizing

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  • Seyed Ashkan Zarghami
  • Indra Gunawan
  • Graciela Corral de Zubielqui
  • Bassam Baroudi

Abstract

The methods presently used for buffer sizing of Critical Chain Project Management (CCPM) have lagged far behind capturing the stochastic nature of resource acquisition in real-world projects. The work described herein represents a new step towards the sizing of buffers for CCPM by developing a probabilistic measure obtained through a reliability analysis of project resources. The proposed method treats the resource availability as a random variable in project scheduling, meaning that each resource has a distribution of possible values of availability. In this method, buffer size is determined by assigning a scaling factor to the standard deviation of a chain. This scaling factor is the function of the reliability of available resources assigned to the chain activities, taking into account the likelihood of timely completion of the chain given the reliability of each individual resource. Sensitivity analysis, as well as the comparison of the proposed method with the conventional buffer sizing methods, reveal the effectiveness of the new method.

Suggested Citation

  • Seyed Ashkan Zarghami & Indra Gunawan & Graciela Corral de Zubielqui & Bassam Baroudi, 2020. "Incorporation of resource reliability into critical chain project management buffer sizing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(20), pages 6130-6144, October.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:20:p:6130-6144
    DOI: 10.1080/00207543.2019.1667041
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    Cited by:

    1. Seyed Ashkan Zarghami, 2023. "Deviation from a state of perfect uniformity: An indicator of structural complexity in projects," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(3), pages 488-500, May.
    2. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Aleatory uncertainty quantification of project resources and its application to project scheduling," Reliability Engineering and System Safety, Elsevier, vol. 211(C).

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