IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p11035-d650330.html
   My bibliography  Save this article

Toward Reducing Construction Project Delivery Time under Limited Resources

Author

Listed:
  • Hossam H. Mohamed

    (Construction Engineering & Utilities Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt)

  • Ahmed H. Ibrahim

    (Construction Engineering & Utilities Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt)

  • Asmaa A. Soliman

    (Civil Engineering Department, Higher Technological Institute (H.T.I), 10th of Ramadan City 44629, Egypt)

Abstract

One of the most vital construction project aspects is to complete a project in minimum time restricted to the time–cost trade-off. Overlapping activities’ planning and their impact on the project under limited resource constraints should be considered. This study aims to develop a model for optimizing the project schedule and cost regarding overlap activities and their impacts. This study reviews previous studies on changes in past activities likely to produce additional reworking of subsequent activities. In addition, an AHP model is developed to assess the reworking time of subsequent activities based on possible changes in previous activities. In addition, five realistic construction projects are applied. Finally, an optimizing model is developed for optimizing project time and cost using overlapping techniques by using the Java program. The results indicate that the proposed model can be used by project managers easily for solving time and cost optimization problems. In addition, it can be updated to continuously improve its functionality. Finally, it can be updated later to support AI for finding better solutions.

Suggested Citation

  • Hossam H. Mohamed & Ahmed H. Ibrahim & Asmaa A. Soliman, 2021. "Toward Reducing Construction Project Delivery Time under Limited Resources," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:11035-:d:650330
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/11035/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/19/11035/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tarek Zayed & Daniel Halpin, 2005. "Deterministic models for assessing productivity and cost of bored piles," Construction Management and Economics, Taylor & Francis Journals, vol. 23(5), pages 531-543.
    2. Kyunghwan Kim, 2020. "Generalized Resource-Constrained Critical Path Method to Improve Sustainability in Construction Project Scheduling," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    3. Min-Yuan Cheng & Mohammadzen Hasan Darsa, 2021. "Construction Schedule Risk Assessment and Management Strategy for Foreign General Contractors Working in the Ethiopian Construction Industry," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Frantisek Kuda & Petr Dlask & Marek Teichmann & Vaclav Beran, 2022. "Time–Cost Schedules and Project–Threats Indication," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    2. Fatemeh Mostofi & Vedat Toğan & Yunus Emre Ayözen & Onur Behzat Tokdemir, 2022. "Predicting the Impact of Construction Rework Cost Using an Ensemble Classifier," Sustainability, MDPI, vol. 14(22), pages 1-19, November.

    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. Chang-Yong Yi & Jin-Young Park & Chan-Young Park & Jun-Cheol Lee & Young-Jun Park, 2022. "Eco-Economic Performance Estimation Method for Pretensioned Spun High-Strength Concrete Pile Installation," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    2. Sławomir Biruk & Łukasz Rzepecki, 2021. "A Simulation Model of Construction Projects Executed in Random Conditions with the Overlapping Construction Works," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    3. Osman Hürol Türkakın & David Arditi & Ekrem Manisalı, 2021. "Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem," Sustainability, MDPI, vol. 13(17), pages 1-17, September.
    4. Al-Bataineh Fuad & Khatatbeh Ahmed Ali & Alzubi Yazan, 2024. "Unsupervised machine learning for identifying key risk factors contributing to construction delays," Organization, Technology and Management in Construction, Sciendo, vol. 16(1), pages 170-185.

    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:gam:jsusta:v:13:y:2021:i:19:p:11035-:d:650330. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.