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EXPORT DATE: 28 June 2025

@CONFERENCE{Mao2025,
author={Mao, Zeyu and Ahmad, Rafiq and Hamzeh, Farook and Gonzalez, Vicente A. },
editor={Seppänen, Olli  and Koskela, Lauri  and Murata , Koichi  },
title={Development of a Space Constraint Management Ontology for Lean Construction: Enhancing Constraint Management in Steel Fabrication Projects}, 
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={1035-1045},
url={http://www.iglc.net/papers/details/2369},
doi={10.24928/2025/0196},
affiliation={PhD researcher, Faculty of Engineering - Civil and Environmental Engineering Department, University of Alberta, Alberta, Canada, zmao5@ualberta.ca, https://orcid.org/0000-0002-1115-7842 ; Associate Professor, Faculty of Engineering - Mechanical Engineering Department, University of Alberta, Alberta, Canada, rafiq1@ualberta.ca, https://orcid.org/0000-0001-9353-3380 ; Professor, Faculty of Engineering - Civil and Environmental Engineering Department, University of Alberta, Alberta, Canada, hamzeh@ualberta.ca, https://orcid.org/0000-0002-3986-9534 ; Professor and Tier 1 Canada Research Chair in Digital Lean Construction, Faculty of Engineering - Civil and Environmental Engineering Department, University of Alberta, Alberta, Canada, vagonzal@ualberta.ca, https://orcid.org/0000-0003-3408-3863 },
abstract={Effective constraint management is critical for the successful implementation of the Last Planner System (LPS), particularly during the lookahead planning phase. However, space-related constraints are not well represented in current LPS implementation. This paper addresses this gap by introducing a Space Constraint Management Ontology (SCMO) to represent and manage the intricate spatial management constraints during construction tasks. The SCMO is developed using the Ontology 101 methodology, an accessible and feasible methodology for building ontologies through a well-structured seven-step process. Afterwards, the SCMO is applied in the context of a steel fabrication project. SCMO conveys steel fabrication logistics and space-related concepts, including safety distances between factory entities, following Alberta's Occupational Health and Safety regulations. This study advanced the constraint management process in current LPS practices, offering a valuable knowledge base for improving space management efficiency and safety in construction sites. },
author_keywords={Lean construction, constraint management, semantic web, ontology, steel fabrication. },
address={Osaka and Kyoto, Japan },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}