IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1869-d743416.html
   My bibliography  Save this article

The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review

Author

Listed:
  • Nawal Abdunasseer Hmidah

    (Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Malaysia)

  • Nuzul Azam Haron

    (Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Malaysia)

  • Aidi Hizami Alias

    (Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Malaysia)

  • Teik Hua Law

    (Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Malaysia)

  • Abubaker Basheer Abdalwhab Altohami

    (Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia (UPM), Serdang 43400, Malaysia)

  • Raja Ahmad Azmeer Raja Ahmad Effendi

    (Department of Industrial Design, Faculty of Design & Architecture, University Putra Malaysia (UPM), Serdang 43400, Malaysia)

Abstract

This review targets the BIM interface, the BIM multi-model approach, and the role of employing algorithms in BIM optimization to introduce the need for automation in the BIM technique, instead of complicating manual procedures in order to reduce possible errors. The challenge with adopting BIM lies in the limiting ability of computer-aided design (CAD) to generate a read-able and straightforward Revit by BIM, requiring the homogeneous data format to be generalized better and maintain a super data mod. Furthermore, the communication and management inter-face (CMI) faces some shortcomings due to limitations in its ability to recognize the role of the interface during the project construction phase. This review demonstrates several proposals to simplify the interface, in order to facilitate better communication amongst participants. The industry foundation class (IFC) model requires a new technique to unlock the potential future of intelligent buildings using the BIM multi-model approach integrated with the Internet of Things (IoT). Trials conducted to enhance the BIM model lack advanced methods for optimizing cost, energy consumption, labor, material movement, and the size of layout of the project, by utilizing heuristic, metaheuristic, and k-mean algorithms. The enhancement of BIM could involve algorithms to achieve better productivity, safety, cost, time, and construction frameworks. The review shows that some gaps and limitations still exist, especially considering the potential link between BIM and building management system (BMS) and the level of influence of the BIM-IoT prototype. Future work should find the best approach to solve facility management within the dynamic model, which is still under investigation.

Suggested Citation

  • Nawal Abdunasseer Hmidah & Nuzul Azam Haron & Aidi Hizami Alias & Teik Hua Law & Abubaker Basheer Abdalwhab Altohami & Raja Ahmad Azmeer Raja Ahmad Effendi, 2022. "The Role of the Interface and Interface Management in the Optimization of BIM Multi-Model Applications: A Review," Sustainability, MDPI, vol. 14(3), pages 1-29, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1869-:d:743416
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1869/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1869/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taewook Kang, 2020. "BIM-Based Human Machine Interface (HMI) Framework for Energy Management," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    2. Agnieszka Leśniak & Monika Górka & Izabela Skrzypczak, 2021. "Barriers to BIM Implementation in Architecture, Construction, and Engineering Projects—The Polish Study," Energies, MDPI, vol. 14(8), pages 1-20, April.
    3. Hongbo Li & Li Xiong & Yinbin Liu & Haitao Li, 2018. "An effective genetic algorithm for the resource levelling problem with generalised precedence relations," International Journal of Production Research, Taylor & Francis Journals, vol. 56(5), pages 2054-2075, March.
    4. Abubaker Basheer Abdalwhab Altohami & Nuzul Azam Haron & Aidi Hizami Ales@Alias & Teik Hua Law, 2021. "Investigating Approaches of Integrating BIM, IoT, and Facility Management for Renovating Existing Buildings: A Review," Sustainability, MDPI, vol. 13(7), pages 1-30, April.
    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. Haiying Luan & Long Li & Shengxi Zhang, 2022. "Exploring the Impact Mechanism of Interface Management Performance of Sustainable Prefabricated Construction: The Perspective of Stakeholder Engagement," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    2. Fabrizio Banfi & Raffaella Brumana & Graziano Salvalai & Mattia Previtali, 2022. "Digital Twin and Cloud BIM-XR Platform Development: From Scan-to-BIM-to-DT Process to a 4D Multi-User Live App to Improve Building Comfort, Efficiency and Costs," Energies, MDPI, vol. 15(12), pages 1-26, June.

    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. Hongbo Li & Zhe Xu & Wenchao Wei, 2018. "Bi-Objective Scheduling Optimization for Discrete Time/Cost Trade-Off in Projects," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    2. Hongbo Li & Linwen Zheng & Hanyu Zhu, 2023. "Resource leveling in projects with flexible structures," Annals of Operations Research, Springer, vol. 321(1), pages 311-342, February.
    3. Jan Růžička & Jakub Veselka & Zdeněk Rudovský & Stanislav Vitásek & Petr Hájek, 2022. "BIM and Automation in Complex Building Assessment," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    4. Gherboudj, Imen & Zorgati, Mohamed & Chamarthi, Phani-Kumar & Tuomiranta, Arttu & Mohandes, Baraa & Beegum, Naseema S. & Al-Sudairi, Jood & Al-Owain, Omar & Shibli, Hussain & El-Moursi, Mohamed & Ghed, 2021. "Renewable energy management system for Saudi Arabia: Methodology and preliminary results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Tingchen Fang & Yiming Zhao & Jian Gong & Feiliang Wang & Jian Yang, 2021. "Investigation on Maintenance Technology of Large-Scale Public Venues Based on BIM Technology," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    6. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    7. Ahsan Waqar & Abdul Hannan Qureshi & Wesam Salah Alaloul, 2023. "Barriers to Building Information Modeling (BIM) Deployment in Small Construction Projects: Malaysian Construction Industry," Sustainability, MDPI, vol. 15(3), pages 1-30, January.
    8. Kiran Khurshid & Aamar Danish & Muhammad Usama Salim & Muhammed Bayram & Togay Ozbakkaloglu & Mohammad Ali Mosaberpanah, 2023. "An In-Depth Survey Demystifying the Internet of Things (IoT) in the Construction Industry: Unfolding New Dimensions," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    9. Tatjana Vilutienė & Rasa Džiugaitė-Tumėnienė & Diana Kalibatienė & Darius Kalibatas, 2021. "How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping," Energies, MDPI, vol. 14(20), pages 1-27, October.
    10. Fabrizio Banfi & Raffaella Brumana & Graziano Salvalai & Mattia Previtali, 2022. "Digital Twin and Cloud BIM-XR Platform Development: From Scan-to-BIM-to-DT Process to a 4D Multi-User Live App to Improve Building Comfort, Efficiency and Costs," Energies, MDPI, vol. 15(12), pages 1-26, June.
    11. Neumann, Anas & Hajji, Adnene & Rekik, Monia & Pellerin, Robert, 2024. "Integrated planning and scheduling of engineer-to-order projects using a Lamarckian Layered Genetic Algorithm," International Journal of Production Economics, Elsevier, vol. 267(C).

    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:14:y:2022:i:3:p:1869-:d:743416. 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.