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EXPORT DATE: 2 June 2025

@CONFERENCE{Riekki2025,
author={Riekki, Jaakko and Lehtovaara, Joonas and Seppänen, Olli and Peltokorpi, Antti },
editor={Seppänen, Olli  and Koskela, Lauri  and Murata , Koichi  },
title={Building the Capabilities for Takt Production Performance Measurement}, 
journal={Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)}, 
booktitle={Proceedings of the 33rd Annual Conference of the International Group for Lean Construction (IGLC 33)}, 
year={2025},
pages={400-411},
url={http://www.iglc.net/papers/details/2309},
doi={10.24928/2025/0107},
affiliation={Doctoral Candidate, Department of Civil Engineering, Aalto University, Finland, jaakko.riekki@aalto.fi, orcid.org/0000-0002-0306-2165 ; Postdoctoral Researcher, Department of Civil Engineering, Aalto University, Finland, joonas.lehtovaara@aalto.fi, orcid.org/0000-0002-4761-3811 ; Associate Professor, Department of Civil Engineering, Aalto University, Finland, olli.seppanen@aalto.fi, orcid.org/0000-0002-2008-5924 ; Assistant Professor, Department of Civil Engineering, Aalto University, Finland, antti.peltokorpi@aalto.fi:, orcid.org/0000-0002-7939-6612 },
abstract={Decades into the digital age, we are still struggling to manage construction production based on data. Past lean construction research has developed management processes such as takt production that use data; however, little attention has been paid to the data collection and processing capabilities. This study explored the challenges of building these capabilities. First, we sought potential performance measures and identified their data source requirements. Second, we examined the database of an ongoing takt production multiple case study to uncover the suitability of prevalent production-related data to fulfil these requirements. We found that progress tracking data was mostly available in all projects although not always of high quality. However, issue tracking and quality control data were predominantly either missing or disorganized. Furthermore, indicators were hardly produced even when data was available. Despite shortcomings in the observed data handling capabilities, encouraging practices were also observed. As a conclusion, we propose that standard operating procedures and technology integration are pivotal for building data-based performance measurement capabilities in construction, especially in takt production. While a detailed roadmap of developing these capabilities is a task for future research, we propose that raising awareness about data management practices is a crucial step in that direction. },
author_keywords={Takt production, Key performance indicators, Data-driven management, Capabilities },
address={Osaka and Kyoto, Japan },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}