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Project buffer sizing of a critical chain based on comprehensive resource tightness

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  • Zhang, Junguang
  • Song, Xiwei
  • Díaz, Estrella

Abstract

A buffer sizing method based on comprehensive resource tightness is proposed in order to better reflect the relationships between activities and improve the accuracy of project buffer determination. Physical resource tightness is initially determined by setting a critical value of resource availability according to the law of diminishing marginal returns. The design structure matrix (DSM) is then adopted to analyze the information flow between activities and calculate the rework time resulting from the information interaction and the information resource tightness. Finally, the project buffer size is adjusted and determined by means of comprehensive resource tightness which consists of physical resource tightness and information resource tightness. The experimental results indicate that the proposed method considers the effect of comprehensive resource tightness on a project buffer, thus overcoming the deficiencies of traditional methods which consider only physical resource tightness and ignore information resource tightness. The size of the project buffer determined by the proposed method is more reasonable, thus signifying that it can doubly optimize project duration and cost.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ejores:v:248:y:2016:i:1:p:174-182
    DOI: 10.1016/j.ejor.2015.07.009
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    Cited by:

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    2. 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.
    3. 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.
    4. Asadabadi, Mehdi Rajabi & Zwikael, Ofer, 2021. "Integrating risk into estimations of project activities' time and cost: A stratified approach," European Journal of Operational Research, Elsevier, vol. 291(2), pages 482-490.
    5. Guofeng Ma & Shan Jiang & Tiancheng Zhu & Jianyao Jia, 2019. "A Novel Method of Developing Construction Projects Schedule under Rework Scenarios," Sustainability, MDPI, vol. 11(20), pages 1-25, October.
    6. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    7. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    8. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
    9. Xuejun Hu & Jianjiang Wang & Kaijun Leng, 2019. "The Interaction Between Critical Chain Sequencing, Buffer Sizing, and Reactive Actions in a CC/BM Framework," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-22, June.
    10. Xuejun Hu & Erik Demeulemeester & Nanfang Cui & Jianjiang Wang & Wendi Tian, 2017. "Improved critical chain buffer management framework considering resource costs and schedule stability," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 159-183, June.
    11. Junguang Zhang & Dan Wan, 2021. "Determination of early warning time window for bottleneck resource buffer," Annals of Operations Research, Springer, vol. 300(1), pages 289-305, May.
    12. 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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