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EXPORT DATE: 5 April 2025

@CONFERENCE{Alsakka2023,
author={Alsakka, Fatima and Yu, Haitao and Hamzeh, Farook and Al-Hussein, Mohamed },
editor={ },
title={Factors Influencing Cycle Times in Offsite Construction}, 
journal={Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)}, 
booktitle={Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)}, 
year={2023},
pages={723-734},
url={http://www.iglc.net/papers/details/2067},
doi={10.24928/2023/0123},
affiliation={PhD candidate, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta,  Canada, falsakka@ualberta.ca, orcid.org/0000-0003-1777-1875 ; 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  ; Associate Professor, Department of Civil and Environmental Engineering, University of Alberta, Edmonton,  Alberta, Canada, hamzeh@ualberta.ca, orcid.org/0000-0002-3986-9534 ; Professor, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta,  Canada, malhussein@ualberta.ca, orcid.org/0000-0002-1774-9718   },
abstract={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.  },
author_keywords={Offsite construction, lean construction, cycle time, influencing factors, Heijunka.  },
address={Lille, France },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}