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Optimisation of critical chain sequencing based on activities’ information flow interactions

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Listed:
  • Junguang Zhang
  • Xiwei Song
  • Hongyu Chen
  • Ruixia (Sandy) Shi

Abstract

One critique for the classic critical chain sequencing methods is that only resource constraints and logical relationships between activities are considered, while interactions of information flows are ignored. However, information flow interactions exist between almost all project activities and bring about big rework risk and rework costs in project management, especially for the long-term projects tied up with big amount of money. In this paper, we propose a new approach to sequence a project’s critical chain by considering activities’ information flow. Specifically, we use the design structure matrix to measure directions and intensities of information flows between activities. The criterion for critical chain sequencing is then to minimise the total coordination cost while considering the influence of feedbacks. The simulation results show that, as opposed to the traditional critical chain sequencing methods, our approach shortens average rework time and reduces the cost.

Suggested Citation

  • Junguang Zhang & Xiwei Song & Hongyu Chen & Ruixia (Sandy) Shi, 2015. "Optimisation of critical chain sequencing based on activities’ information flow interactions," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6231-6241, October.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:20:p:6231-6241
    DOI: 10.1080/00207543.2015.1043157
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    Citations

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    Cited by:

    1. Cui, Nanfang & Demeulemeester, Erik & Bie, Li, 2016. "Incorporation of activity sensitivity measures into buffer management to manage project schedule riskAuthor-Name: Hu, Xuejun," European Journal of Operational Research, Elsevier, vol. 249(2), pages 717-727.
    2. Junguang Zhang & Xiwei Song & Estrella Díaz, 2017. "Critical chain project buffer sizing based on resource constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 55(3), pages 671-683, February.
    3. Inayat Ullah & Dunbing Tang & Qi Wang & Leilei Yin, 2017. "Least Risky Change Propagation Path Analysis in Product Design Process," Systems Engineering, John Wiley & Sons, vol. 20(4), pages 379-391, July.
    4. 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.
    5. Guofeng Ma & Jianyao Jia & Tiancheng Zhu & Shan Jiang, 2019. "A Critical Design Structure Method for Project Schedule Development under Rework Risks," Sustainability, MDPI, vol. 11(24), pages 1-20, December.

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