Learning from Problem Analyses of Design Information Quality Data

J. Lockert1 & O. Berard2

1Civil engineer MSc., Building Informatics, BIM-coordinator - MT Højgaard, jolo@mth.dk
2Civil engineer, MSc. Software development, Ph D, Design Information Quality, BIM-specialist - MT Højgaard, olb@mth.dk


A lacking Design Information Quality (DIQ) is known to cause budget overruns, schedule delays and defects in the construction and operation of buildings. In spite of this, both research and practice within structured Quality Assurance/Control (QA/QC) of design information is limited. Design checking is largely an inefficient process, e.g. lacking structure. However, the emerging technologies and methods of building information modeling (BIM) allow for a structured and software supported checking. This research studies data provided by a Nordic construction company. The data set consists of design information analyses of 2D drawings as well as 3D models, from 100 projects. The construction company has realized the problem of lacking DIQ, and hence both implemented explicit requirements for DIQ, as well as a procedure for design information QA/QC, primarily on tender projects as well as design-build projects. The quality information requirements are based on best practices from the BIM community. In conclusion, we propose new requirements to Design Information Quality as identified by the research, as well as our suggestions to input to new best practices in quality information requirements in the BIM community, integrating BIM and Lean principles from our particular context, to address design information problems in the future.


Design, Information, Quality Assurance/Quality Control, Building Information Modeling, Lean



Lockert, J. & Berard, O. 2014, 'Learning from Problem Analyses of Design Information Quality Data' In:, Kalsaas, B.T., Koskela, L. & Saurin, T.A., 22nd Annual Conference of the International Group for Lean Construction. Oslo, Norway, 25-27 Jun 2014. pp 497-508

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