TY  - CONF
TI  - Continuous Improvement of Takt Production With Data-Driven Knowledge Management Approach
C1  - Edmonton, Canada
C3  - Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)
SP  - 376
EP  - 387
PY  - 2022
DO  - 10.24928/2022/0140
AU  - Ahonen, Toni 
AU  - Lehtovaara, Joonas 
AU  - Peltokorpi, Antti 
AU  - Uusitalo, Petri 
AD  - Production Engineer, YIT Suomi Oy, Finland, toni.h.ahonen@yit.fi, orcid.org/0000-0001-6957-0704
AD  - Doctoral Candidate, Department of Civil Engineering, Aalto University, Finland, and Visiting  Researcher, Department of Civil and Environmental Engineering, Project Production Systems  Laboratory (P2SL), University of California, Berkeley, CA, joonas.lehtovaara@aalto.fi, orcid.org/0000- 0002-4761-3811 
AD  - Assistant Professor, Department of Civil Engineering, Aalto University, Finland,  antti.peltokorpi@aalto.fi, orcid.org/0000-0002-7939-6612
AD  - Post-Doctoral Researcher, Department of Civil Engineering, Aalto University, Finland,  petri.uusitalo@aalto.fi, orcid.org/0000-0002-5725-906X 
AB  - This study investigates how data-based continuous improvement could be applied in construction projects utilizing takt production. The purpose is to define a process model that will guide how such a continuous improvement system can be created in an organization utilizing takt production methods, and how the system can then be improved. This research follows design science approach to highlight the practicality of the solution. Research consists of diagnosis, process model creation, validation of the process model, discussion, and conclusion. Diagnosis is performed with a literature review and empirical research, including interviews and observations of current practices in a case company. Validation is performed by collecting external feedback and by organizing internal interviews. The findings indicate that the created process model provides a system that can be used to improve the takt production process with data, and that the process can be supported by also handling tacit knowledge. A defined learning system will help in tackling the current barriers facing the construction industry related to inefficient data processing and unclear knowledge management. As the system utilizes the terminology and theory of takt production, it is proposed that the system can be expanded to other projects and construction functions with further research.
KW  - Lean construction
KW  - takt planning
KW  - continuous improvement
KW  - knowledge management.
PB  - 
T2  - Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)
DA  - 2022/07/27
CY  - Edmonton, Canada
L1  - http://iglc.net/Papers/Details/1972/pdf
L2  - http://iglc.net/Papers/Details/1972
N1  - Export Date: 01 May 2024
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -