IGLC.net
EXPORT DATE: 19 June 2026

@CONFERENCE{Lujan2026,
author={Lujan, Guillermo Prado and Engineer-Manriquez, Felipe },
editor={Hamzeh, Farook and Poshdar, Mani and Garcia-Lopez,, Nelly P. },
title={Integrating SCRUM with the last planner system: an AI-enhanced framework}, 
journal={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
booktitle={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
year={2026},
pages={1725-1736},
url={http://www.iglc.net/papers/details/2559},
doi={10.24928/2026/0271},
affiliation={Production Manager, Project Delivery Services, The Boldt Company, San Francisco, California, USA, guillermo.prado@boldt.com, orcid.org/0000-0002-5325-1132 ; Project Delivery Services Director, Project Delivery Services, The Boldt Company, San Francisco, California, USA,  Nick.Loughrin@boldt.com, },
abstract={While both the Last Planner System (LPS) and SCRUM have demonstrated benefits independently, existing research lacks a practitioner-grounded framework that integrates these approaches across planning horizons. Grounded in a shared epistemological foundation of empiricism (where planning is continuously adjusted through feedback and learning) this study adopts an inductive, case-based approach to develop an initial framework outline. This research consists of a comparative analysis of LPS and SCRUM across six key dimensions, the synthesis of an integrated framework with AI as an augmentation layer, and an illustrative case study of a complex construction project. Results indicate that LPS provides stability through multi-horizon planning and commitment management, while SCRUM enhances short-cycle coordination, learning, and role clarity. AI further supports these processes by improving information synthesis, visibility, and anticipatory decision-making, while maintaining a human-in-the-loop approach. This study contributes a structured, practitioner-informed starting point for integrating Lean, Agile, and AI in construction, highlighting the need for further validation and development through future research. },
author_keywords={Last Planner System, SCRUM, Lean Construction, Integration, Artificial Intelligence },
address={Singapore, Singapore },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}