A Critical Review of Measuring the Modeling Productivity of Building Information Modeling

Sanghyun Shin; Suhyung Jang; Hyunsung Roh; Ghang Lee

doi:10.1007/978-3-031-35399-4_33

A Critical Review of Measuring the Modeling Productivity of Building Information Modeling

Sanghyun Shin, Suhyung Jang, Hyunsung Roh, Ghang Lee

Department of Architecture and Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This study aims to identify indicators to measure the productivity of building information modeling (BIM) through a critical literature review of previous studies on BIM productivity and the factors used in the studies. Measuring BIM productivity, to which end quite a few efforts have been made, is important for efficient workforce management. The authors reviewed 14 papers collated from Scopus and Google Scholar. Examples of topics included productivity factors related to 2D/3D design modeling. Previous studies on BIM productivity have followed the definition of productivity as output/input. The input and output of BIM productivity indicators were classified according to the research purpose of the 14 previous studies. Among the BIM productivity indicators suggested in 14 previous studies, the most frequently used BIM productivity indicators were output as time and input as the number of elements in the 3D model. Among the factors affecting BIM productivity, modeling time was the most commonly considered. Other factors included model quality, modeling behavior, project size, model size and model review.

Original language	English
Title of host publication	Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1
Editors	Sebastian Skatulla, Hans Beushausen
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	449-457
Number of pages	9
ISBN (Print)	9783031353987
DOIs	https://doi.org/10.1007/978-3-031-35399-4_33
Publication status	Published - 2024
Event	19th International Conference on Computing in Civil and Building Engineering, ICCCBE 2022 - Cape Town, South Africa Duration: 2022 Oct 26 → 2022 Oct 28

Publication series

Name	Lecture Notes in Civil Engineering
Volume	357
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	19th International Conference on Computing in Civil and Building Engineering, ICCCBE 2022
Country/Territory	South Africa
City	Cape Town
Period	22/10/26 → 22/10/28

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering

Access to Document

10.1007/978-3-031-35399-4_33

Cite this

Shin, S., Jang, S., Roh, H., & Lee, G. (2024). A Critical Review of Measuring the Modeling Productivity of Building Information Modeling. In S. Skatulla, & H. Beushausen (Eds.), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1 (pp. 449-457). (Lecture Notes in Civil Engineering; Vol. 357). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35399-4_33

Shin, Sanghyun ; Jang, Suhyung ; Roh, Hyunsung et al. / A Critical Review of Measuring the Modeling Productivity of Building Information Modeling. Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. editor / Sebastian Skatulla ; Hans Beushausen. Springer Science and Business Media Deutschland GmbH, 2024. pp. 449-457 (Lecture Notes in Civil Engineering).

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abstract = "This study aims to identify indicators to measure the productivity of building information modeling (BIM) through a critical literature review of previous studies on BIM productivity and the factors used in the studies. Measuring BIM productivity, to which end quite a few efforts have been made, is important for efficient workforce management. The authors reviewed 14 papers collated from Scopus and Google Scholar. Examples of topics included productivity factors related to 2D/3D design modeling. Previous studies on BIM productivity have followed the definition of productivity as output/input. The input and output of BIM productivity indicators were classified according to the research purpose of the 14 previous studies. Among the BIM productivity indicators suggested in 14 previous studies, the most frequently used BIM productivity indicators were output as time and input as the number of elements in the 3D model. Among the factors affecting BIM productivity, modeling time was the most commonly considered. Other factors included model quality, modeling behavior, project size, model size and model review.",

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Shin, S, Jang, S, Roh, H & Lee, G 2024, A Critical Review of Measuring the Modeling Productivity of Building Information Modeling. in S Skatulla & H Beushausen (eds), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. Lecture Notes in Civil Engineering, vol. 357, Springer Science and Business Media Deutschland GmbH, pp. 449-457, 19th International Conference on Computing in Civil and Building Engineering, ICCCBE 2022, Cape Town, South Africa, 22/10/26. https://doi.org/10.1007/978-3-031-35399-4_33

A Critical Review of Measuring the Modeling Productivity of Building Information Modeling. / Shin, Sanghyun; Jang, Suhyung; Roh, Hyunsung et al.
Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. ed. / Sebastian Skatulla; Hans Beushausen. Springer Science and Business Media Deutschland GmbH, 2024. p. 449-457 (Lecture Notes in Civil Engineering; Vol. 357).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Shin S, Jang S, Roh H, Lee G. A Critical Review of Measuring the Modeling Productivity of Building Information Modeling. In Skatulla S, Beushausen H, editors, Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. Springer Science and Business Media Deutschland GmbH. 2024. p. 449-457. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-35399-4_33

A Critical Review of Measuring the Modeling Productivity of Building Information Modeling

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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