IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v2y2010p77-90.html
   My bibliography  Save this article

Generalization of the critical chain method supporting the management of projects with a high degree of uncertainty and imperfect information

Author

Listed:
  • Dorota Kuchta

Abstract

In the critical chain method the fundamental notion is the project buffer, and its length is based on task estimation risk. This estimation is almost never unequivocal. If it is not correct, the whole method may turn out to be ineffective. Different experts may have different opinions about this risk. The critical chain method allows to take into account the opinion of only one expert, which may seriously falsify the image of the project situation. This paper proposes a generalization of the critical chain method allowing the use of the opinions of several experts – both while planning a project and while controlling it. Thanks to such an approach, in each phase of project planning and control we are aware of the opinions of various experts as to the correctness of the deadline which was agreed upon with the customer, as to the chances of meeting this deadline and as to the necessity of strengthening project control or introducing changes into the project.

Suggested Citation

  • Dorota Kuchta, 2010. "Generalization of the critical chain method supporting the management of projects with a high degree of uncertainty and imperfect information," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(2), pages 77-90.
    • Handle: RePEc:wut:journl:v:2:y:2010:p:77-90
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/163%20-%20published.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dorota Kuchta, 2004. "The critical chain method in project management – a formal description," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 14(1), pages 37-51.
    2. Chen, Shih-Pin, 2007. "Analysis of critical paths in a project network with fuzzy activity times," European Journal of Operational Research, Elsevier, vol. 183(1), pages 442-459, November.
    3. Tukel, Oya I. & Rom, Walter O. & Eksioglu, Sandra Duni, 2006. "An investigation of buffer sizing techniques in critical chain scheduling," European Journal of Operational Research, Elsevier, vol. 172(2), pages 401-416, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Shih-Pin & Tsai, Ming-Jiun, 2011. "Time-cost trade-off analysis of project networks in fuzzy environments," European Journal of Operational Research, Elsevier, vol. 212(2), pages 386-397, July.
    2. 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.
    3. Janusz Kulejewski & Nabi Ibadov & Jerzy Rosłon & Jacek Zawistowski, 2021. "Cash Flow Optimization for Renewable Energy Construction Projects with a New Approach to Critical Chain Scheduling," Energies, MDPI, vol. 14(18), pages 1-15, September.
    4. Moayyad Al-Fawaeer & Abdul Sattar Al-Ali & Mousa Khaireddin, 2021. "The Impact of Changing the Expected Time and Variance Equations of the Project Activities on The Completion Time and Cost of the Project in PERT Model," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 1-22, September.
    5. Zhang, Jingwen & Elmaghraby, Salah E., 2014. "The relevance of the “alphorn of uncertainty” to the financial management of projects under uncertainty," European Journal of Operational Research, Elsevier, vol. 238(1), pages 65-76.
    6. She, Bingling & Chen, Bo & Hall, Nicholas G., 2021. "Buffer sizing in critical chain project management by network decomposition," Omega, Elsevier, vol. 102(C).
    7. 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.
    8. Wright, Daniel G. & Dey, Prasanta K. & Brammer, John G., 2013. "A fuzzy levelised energy cost method for renewable energy technology assessment," Energy Policy, Elsevier, vol. 62(C), pages 315-323.
    9. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    10. Mohammadreza Sharifi Ghazvini & Vahidreza Ghezavati & Sadigh Raissi & Ahmad Makui, 2017. "An Integrated Efficiency–Risk Approach in Sustainable Project Control," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    11. Sung-Hwan Jo & Eul-Bum Lee & Kyoung-Youl Pyo, 2018. "Integrating a Procurement Management Process into Critical Chain Project Management (CCPM): A Case-Study on Oil and Gas Projects, the Piping Process," Sustainability, MDPI, vol. 10(6), pages 1-22, May.
    12. 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.
    13. Mukesh Kumar Mehlawat & Nishtha Grover, 2018. "Intuitionistic fuzzy multi-criteria group decision making with an application to critical path selection," Annals of Operations Research, Springer, vol. 269(1), pages 505-520, October.
    14. 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.
    15. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    16. Song, Jie & Martens, Annelies & Vanhoucke, Mario, 2021. "Using Schedule Risk Analysis with resource constraints for project control," European Journal of Operational Research, Elsevier, vol. 288(3), pages 736-752.
    17. Yakhchali, Siamak Haji & Ghodsypour, Seyed Hassan, 2010. "Computing latest starting times of activities in interval-valued networks with minimal time lags," European Journal of Operational Research, Elsevier, vol. 200(3), pages 874-880, February.
    18. Wendi Tian & Erik Demeulemeester, 2014. "Railway scheduling reduces the expected project makespan over roadrunner scheduling in a multi-mode project scheduling environment," Annals of Operations Research, Springer, vol. 213(1), pages 271-291, February.
    19. Moayyad Al-Fawaeer & Abdul Sattar Al-Ali & Mousa Khaireddin, 2021. "The Impact of Changing the Expected Time and Variance Equations of the Project Activities on The Completion Time and Cost of the Project in PERT Model," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 119-140, September.
    20. Junguang Zhang & Xiwei Song & Hongyu Chen & Ruixia (Sandy) Shi, 2016. "Determination of critical chain project buffer based on information flow interactions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(9), pages 1146-1157, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wut:journl:v:2:y:2010:p:77-90. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.