TY  - CONF
TI  - Catalysts for learning and innovation in Takt production
AU  - Lappalainen, Eelon
AU  - Peltokorpi, Antti
AU  - Seppänen, Olli
AD  - Visiting Scholar, Civil Engineering, Aalto University, Espoo, Finland, ext-eelon.lappalainen@aalto.fi, orcid.org/0000-0002-7573-344X
AD  - Associate Professor, Civil Engineering, Aalto University, Espoo, Finland, antti.peltokorpi@aalto.fi, orcid.org/0000-0002-7939-6612
AD  - Associate Professor, Civil Engineering, Aalto University, Espoo, Finland, olli.seppanen@aalto.fi, orcid.org/0000-0002-2008-5924
ED  - Hamzeh, Farook
ED  - Poshdar, Mani
ED  - Garcia-Lopez,, Nelly P.
ED  - Gan, Vincent
PY  - 2026
DA  - 2026/06/22
T2  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
C3  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
CY  - Singapore, Singapore
SP  - 668
EP  - 679
DO  - 10.24928/2026/0122
SN  - 2789-0015 (ISSN)
AB  - Takt production (TP) emphasizes enhancing flows and minimizing inventories in alignment with fundamental principles of lean thinking. Nonetheless, the significance of slack in TP has been acknowledged. This aligns with the prevailing view of system dynamics, which underscores inventories as a stabilizing factor in addition to flow regulation. This study investigates the influence of learning and innovation on TP research, as well as the relationship between TP and inventory. The intrinsic sluggishness of inventories facilitates safer experimentation from a learning and innovation standpoint. Moreover, diverse forms of slack enhance the stability of the TP system amid ongoing improvement and learning. This study indicates that learning and innovation play a crucial role in successful TP; however, the literature review reveals that existing research has not thoroughly examined their role in this context, suggesting the need for further research. The study also categorizes six catalysts that support learning and innovation in TP: work design and production logic; feedback loops, control, and continuous improvement; culture, collaboration, and shared meaning; learning capabilities and mechanisms; digital infrastructure for learning and innovation; and structural and contractual enablers, with the latter two identified as under-researched. This paper delineates methodologies for learning and innovation applicable to TP.
KW  - Lean Construction
KW  - Takt production
KW  - learning
KW  - innovation
KW  - catalysts.
L1  - https://www.iglc.net/papers/details/2450/pdf
UR  - https://www.iglc.net/papers/details/2450
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -