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Dynamic Modeling for Life Cycle Cost Analysis of BIM-Based Construction Waste Management

Author

Listed:
  • Milad Zoghi

    (Department of Civil Engineering, K.N. Toosi University of Technology, Tehran 1417466191, Iran)

  • Sungjin Kim

    (Department of Civil, Construction, and Environmental Engineering, University of Alabama, 401 7th Ave. 264 Hardaway Hall, Box 807025, Tuscaloosa, AL 35487, USA)

Abstract

Recent studies in construction waste and management (CWM) have mainly investigated the waste management chain from a static perspective and failed to take into account the dynamic nature of parameters and their correlation. In addition, the current studies of building information modeling (BIM)-based CWM failed to analyze the cost–benefits due to the lack of numerical economic benchmarks. To address the gap, this study developed a system dynamic (SD) model to analyze the economic aspects of construction and demolition (C&D) waste from using BIM. Causal loop and stock-flow diagrams are modeled based on the determined variables and their interrelationships. Standard sensitivity tests were then performed to establish the validity of the model under real system conditions. Different scenarios were applied to simulate and compare the model results in response to various policies. A case study was conducted to quantify the costs and the profits. Based on the comparison with the conventional approach and BIM-based method, BIM can reduce CWM cost by up to 57%. The findings also indicated that higher landfill charges will not be able to motivate managers to use sustainable CWM; conversely, increasing the modularity of design and earlier realization of net benefits will incentivize project managers to employ BIM-based CWM.

Suggested Citation

  • Milad Zoghi & Sungjin Kim, 2020. "Dynamic Modeling for Life Cycle Cost Analysis of BIM-Based Construction Waste Management," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2483-:d:335554
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    References listed on IDEAS

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    1. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    2. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
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    Cited by:

    1. Dongchen Han & Mohsen Kalantari & Abbas Rajabifard, 2021. "Building Information Modeling (BIM) for Construction and Demolition Waste Management in Australia: A Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
    2. Ying Huang & Liujingtai Pan & Yifei He & Zheqing Xie & Xiufang Zheng, 2022. "A BIM–WMS Management Tool for the Reverse Logistics Supply Chain of Demolition Waste," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    3. Chris Turner & John Oyekan & Lampros K. Stergioulas, 2021. "Distributed Manufacturing: A New Digital Framework for Sustainable Modular Construction," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    4. Eduardo José Melo Lins & Rachel Perez Palha & Maria do Carmo Martins Sobral & Adolpho Guido de Araújo & Érika Alves Tavares Marques, 2024. "Application of Building Information Modelling in Construction and Demolition Waste Management: Systematic Review and Future Trends Supported by a Conceptual Framework," Sustainability, MDPI, vol. 16(21), pages 1-55, October.
    5. Bahareh Nikmehr & M. Reza Hosseini & Jun Wang & Nicholas Chileshe & Raufdeen Rameezdeen, 2021. "BIM-Based Tools for Managing Construction and Demolition Waste (CDW): A Scoping Review," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    6. Jaime A. Mesa & Carlos Fúquene-Retamoso & Aníbal Maury-Ramírez, 2021. "Life Cycle Assessment on Construction and Demolition Waste: A Systematic Literature Review," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    7. Ferrari, S. & Zoghi, M. & Blázquez, T. & Dall’O’, G., 2022. "New Level(s) framework: Assessing the affinity between the main international Green Building Rating Systems and the european scheme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).

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