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BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management

Author

Listed:
  • WoonSeong Jeong

    (Department of Architectural Engineering, Ewha Womans University, 52, Ewhayeodae-Gil, Seodaemun-Gu, Seoul 03760, Korea)

  • Soowon Chang

    (School of Building Construction, Georgia Institute of Technology North Avenue, Atlanta, GA 30332, USA)

  • JeongWook Son

    (Department of Architectural Engineering, Ewha Womans University, 52, Ewhayeodae-Gil, Seodaemun-Gu, Seoul 03760, Korea)

  • June-Seong Yi

    (Department of Architectural Engineering, Ewha Womans University, 52, Ewhayeodae-Gil, Seodaemun-Gu, Seoul 03760, Korea)

Abstract

Traditional construction planning, which depends on historical data and heuristic modification, prevents the integration of managerial details such as productivity dynamics. Specifically, the distance between planning and execution brings cost overruns and duration extensions. To minimize variations, this research presents a Building Information Modeling (BIM)-integrated simulation framework for predicting productivity dynamics at the construction planning phase. To develop this framework, we examined critical factors affecting productivity at the operational level, and then forecast the productivity dynamics. The resulting plan includes specific commands for retrieving the required information from BIM and executing operation simulations. It consists of the following steps: (1) preparing a BIM model to produce input data; (2) composing a construction simulation at the operational level; and (3) obtaining productivity dynamics from the BIM-integrated simulation. To validate our framework, we applied it to a structural steel model; this was due to the significance of steel erections. By integrating BIM with construction operation simulations, we were able to create reliable construction plans that adapted to project changes. Our results show that the developed framework facilitates the reliable prediction of productivity dynamics, and can contribute to improved schedule reliability, optimized resource allocation, cost savings associated with buffers, and reduced material waste.

Suggested Citation

  • WoonSeong Jeong & Soowon Chang & JeongWook Son & June-Seong Yi, 2016. "BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management," Sustainability, MDPI, vol. 8(11), pages 1-25, October.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1106-:d:81705
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    Citations

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    Cited by:

    1. Zezhou Wu & Changhong Chen & Yuzhu Cai & Chen Lu & Hao Wang & Tao Yu, 2019. "BIM-Based Visualization Research in the Construction Industry: A Network Analysis," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    2. Isabel Jordan-Palomar & Patricia Tzortzopoulos & Jorge García-Valldecabres & Eugenio Pellicer, 2018. "Protocol to Manage Heritage-Building Interventions Using Heritage Building Information Modelling (HBIM)," Sustainability, MDPI, vol. 10(4), pages 1-19, March.
    3. Murat Gunduz & Ayman Fahmi Naser, 2017. "Cost Based Value Stream Mapping as a Sustainable Construction Tool for Underground Pipeline Construction Projects," Sustainability, MDPI, vol. 9(12), pages 1-20, November.
    4. Ana Jiménez-Rivero & Ana De Guzmán-Báez & Justo García-Navarro, 2017. "Enhanced On-Site Waste Management of Plasterboard in Construction Works: A Case Study in Spain," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
    5. Fokwa Soh Mathieu & Barbeau Daniel & Doré Sylvie & Forgues Daniel, 2020. "Qualitative analysis of Request For Information to identify design flaws in steel construction projects," Organization, Technology and Management in Construction, Sciendo, vol. 12(1), pages 2083-2094, January.
    6. Rodrigo F. Herrera & M. Amalia Sanz & Laura Montalbán-Domingo & Tatiana García-Segura & Eugenio Pellicer, 2019. "Impact of Game-Based Learning on Understanding Lean Construction Principles," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    7. Borna Dasović & Mario Galić & Uroš Klanšek, 2020. "A Survey on Integration of Optimization and Project Management Tools for Sustainable Construction Scheduling," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    8. Samad M. E. Sepasgozar & Felix Kin Peng Hui & Sara Shirowzhan & Mona Foroozanfar & Liming Yang & Lu Aye, 2020. "Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    9. Adrieli Cristina Vieira De Carvalho & Ariovaldo Denis Granja & Vanessa Gomes Da Silva, 2017. "A Systematic Literature Review on Integrative Lean and Sustainability Synergies over a Building’s Lifecycle," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    10. Mohammadsoroush Tafazzoli & Ehsan Mousavi & Sharareh Kermanshachi, 2020. "Opportunities and Challenges of Green-Lean: An Integrated System for Sustainable Construction," Sustainability, MDPI, vol. 12(11), pages 1-12, May.
    11. Wenzhu Liao & Tong Wang, 2018. "Promoting Green and Sustainability: A Multi-Objective Optimization Method for the Job-Shop Scheduling Problem," Sustainability, MDPI, vol. 10(11), pages 1-19, November.

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