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Predicting Penetration of the Project Buffer Time of Critical Chain Project Management (CCPM) Using a Linear Programming Approach

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  • Milind Jagtap

Abstract

Managing the disruptions in projects is a challenging task for project managers. In this respect, critical chain project management (CCPM) has been considered as a promising methodology in expediting projects. However, the effectiveness of this methodology is often lost in search of optimal use of project buffers to hedge against delays occurring in the critical chain. The more critical chain activity gets delayed, the greater is the likelihood of penetration of project buffer time. The resource constraints of critical chains have been considered as a major determinant of project buffer penetration. Although a project buffer is provided to protect the critical chain, to keep the CCPM project schedule competitive, it is the priority of the project manager to minimize the blatant consumption of project buffer time by multiple critical chain activities. Historically, resource constraints within the critical chain have been associated with penetration of project buffer time. The literature suggests that the productivity of resources deployed in the critical chain can predict the penetration of project buffer time. Based on the premise that delays are omnipresent and unavoidable but predictable, this research aims to consider the post-facto measures of delays instead of pre-facto measures. Pre-facto measures are resources productivity and resources availability while post-facto measures are the compensation paid by the client and the cost of liquidity damages incurred by the contractor. It is assumed that pre-facto measures are convertible into post-facto measures. A linear programming model is formulated and tested using the case of Botanical Garden Construction Project in Pune city. Sensitivity analysis revealed that the propensity of project buffer penetration on a critical chain varies with the compensation matrix. Varieties of scenario are developed and the optimal solution is validated with the case study.

Suggested Citation

  • Milind Jagtap, 2020. "Predicting Penetration of the Project Buffer Time of Critical Chain Project Management (CCPM) Using a Linear Programming Approach," IIM Kozhikode Society & Management Review, , vol. 9(2), pages 143-151, July.
    • Handle: RePEc:sae:iimkoz:v:9:y:2020:i:2:p:143-151
    DOI: 10.1177/2277975219896499
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    References listed on IDEAS

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    1. Maryam Mirzaei & Victoria J. Mabin, 2018. "A review of the scholarly literature on CCPM: a focus on underpinning assumptions," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 10(3), pages 242-267.
    2. François Berthaut & Robert Pellerin & Adnène Hajji & Nathalie Perrier, 2018. "A path relinking-based scatter search for the resource-constrained project scheduling problem," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 10(1), pages 1-36.
    3. Hosein Iranmanesh & Fatemeh Mansourian & Samaneh Kouchaki, 2016. "Critical chain scheduling: a new approach for feeding buffer sizing," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 25(1), pages 114-130.
    4. Toshihisa Fujiwara & Hiroshi Morita & Haruhiko Suwa, 2016. "Dynamic project scheduling with reduction of activity durations," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 8(3), pages 259-274.
    5. 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.
    6. Qiaolin Yuan & Yiannis E. Polychronakis, 2012. "The development of a robust resource constrained project scheduling framework," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 4(4), pages 339-367.
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