Incorporation of resource reliability into critical chain project management buffer sizing

Seyed Ashkan Zarghami, Indra Gunawan, Graciela Corral de Zubielqui and Bassam Baroudi

International Journal of Production Research, 2020, vol. 58, issue 20, 6130-6144

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.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2019.1667041 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:58:y:2020:i:20:p:6130-6144

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2019.1667041

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().