BIM-integrated construction operation simulation for just-in-time production management

Woon Seong Jeong, Soowon Chang, Jeong Wook Son, June Seong Yi

Research output: Contribution to journalArticlepeer-review

71 Scopus citations


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..

Original languageEnglish
Article number1106
JournalSustainability (Switzerland)
Issue number11
StatePublished - 29 Oct 2016

Bibliographical note

Publisher Copyright:
© 2016 by the authors.


  • Building information modeling
  • Computer simulation
  • Data reuse
  • Just-In-Time
  • Lean construction
  • Productivity dynamics


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