TY  - CONF
TI  - Factors Influencing Cycle Times in Offsite Construction
AU  - Alsakka, Fatima
AU  - Yu, Haitao
AU  - Hamzeh, Farook
AU  - Al-Hussein, Mohamed
AD  - PhD candidate, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta,  Canada, falsakka@ualberta.ca, orcid.org/0000-0003-1777-1875
AD  - Canada, falsakka@ualberta.ca, orcid.org/0000-0003-1777-1875 2  Research and Development, Landmark Group of Companies Inc., Edmonton, Alberta, Canada,  haitaoy@landmarkgroup.ca, https://orcid.org/0000-0002-7798-4867
AD  - Associate Professor, Department of Civil and Environmental Engineering, University of Alberta, Edmonton,  Alberta, Canada, hamzeh@ualberta.ca, orcid.org/0000-0002-3986-9534
AD  - Professor, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta,  Canada, malhussein@ualberta.ca, orcid.org/0000-0002-1774-9718
PY  - 2023
DA  - 2023/06/26
T2  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
C3  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
CY  - Lille, France
SP  - 723
EP  - 734
DO  - 10.24928/2023/0123
SN  - 2789-0015 (ISSN)
AB  - In offsite construction, various factors contribute to variability in cycle times at workstations in production facilities, leading to imbalanced production lines. Understanding these factors is vital for implementing Heijunka, a fundamental lean principle that consists of levelling out the work schedule. This study presents a qualitative approach for identifying and understanding factors that influence variable cycle times at the workstation level. The application of the approach is demonstrated in reference to a semi-automated framing workstation in a panelised construction facility. A list of 36 potential influencing factors categorised into eight classes is first compiled based on observation of the process, a cross-functional diagram, and a review of relevant studies, and then discussed based on feedback solicited from personnel at the case framing station through a semi-structured interview. The approach, its application, and the results demonstrate the effect of expending effort on the identification and understanding of cycle time-influencing factors in improving the accuracy of cycle time analysis, thereby facilitating the implementation of Heijunka.
KW  - Offsite construction
KW  - lean construction
KW  - cycle time
KW  - influencing factors
KW  - Heijunka.
L1  - https://www.iglc.net/papers/details/2067/pdf
UR  - https://www.iglc.net/papers/details/2067
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -