ABSTRACT

Production metrics (PM) are important yardsticks for AEC (Architecture, Engineering, and Construction) teams to determine whether their projects are on track. This paper reports on research that looked for empirical evidence of the use of PM from the literature (PML) in practice. Specifically, this research classified PM reported by 279 VDC (Virtual Design and Construction) professionals in Scandinavia and Latin America into 17 PML. About 3 PML (detailed schedule conformance, stakeholder involvement, and meeting efficiency) were found to be reported by more than 40% of the professionals while 7 PML (decision latency, detailed cost conformance, field material delivery, meeting agenda appropriateness, client satisfaction, safety, and visualization) were reported by fewer than 10% of the professionals. The biggest differences in the use of PML were in measuring meeting efficiency (Scandinavia: 44%, and Latin America: 78%), meeting effectiveness (Scandinavia: 40%, and Latin America: 3%), and BIM coordination consistency (Scandinavia: 23%, and Latin America: 40%). This study not only finds empirical evidence for commonly used PML, but also finds PML that seem theoretically useful are not used in practice, suggesting further research in metrics-driven management of AEC projects.

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REFERENCES

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Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 1024 - 1033

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Published online: Mar 7, 2022

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Tulika Majumdar [email protected]
1Dept. of Civil and Environmental Engineering, Stanford Univ., CA. Email: [email protected]
Steinar G. Rasmussen [email protected]
Alexandre Almeida Del Savio [email protected]
3Professor, Dept. of Civil Engineering, Univ. of Lima, Peru. Email: [email protected]
Katrin Johannesdottir [email protected]
4Trimble Solutions Sandvika AS. Email: [email protected]
Eilif Hjelseth [email protected]
5Professor, Dept. of Civil and Environmental Engineering, Norwegian Institute of Science and Technology, Norway. Email: [email protected]
Martin Fischer [email protected]
6Kumagai Professor of Engineering, Stanford Univ., CA. Email: [email protected]

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