TY  - CONF
TI  - Lean post-typhoon recovery: multi-agent look-ahead and constraints for the Last Planner System
C1  - Singapore, Singapore
C3  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
SP  - 250
EP  - 259
PY  - 2026
DO  - 10.24928/2026/0273
AU  - Zeng, Xianghui
AU  - Jiang, Liu
AU  - Cheng, Zhiyuan
AU  - Chen, Yu
AD  - PhD Student, School of Civil Engineering and Architecture, Hainan University, Haikou, China,  25110814000020@hainanu.edu.cn, orcid.org/0009-0008-5084-8575 
AD  - Associate Professor, School of Civil Engineering and Architecture, Hainan University, Haikou, China,  oxazajl@hainanu.edu.cn, orcid.org/0000-0002-3355-2157  
AD  - Undergraduate student, School of Civil Engineering and Architecture, Hainan University, Haikou, China,  20223005212@hainanu.edu.cn
AD  - Master Student, School of Civil Engineering and Architecture, Hainan University, Haikou, China,  19989716938@163.com, orcid.org/0009-0008-1120-6393
ED  - Hamzeh, Farook
ED  - Poshdar, Mani
ED  - Garcia-Lopez,, Nelly P.
AB  - Post-typhoon recovery involves high-variability work in which plan reliability is frequently undermined by late discovery of constraints, fragmented information, and rework. Rapid post-typhoon building recovery requires integrating heterogeneous evidence and converting it into actionable and auditable plans. This paper proposes a Lean Construction informed, knowledge-driven framework that combines a multi-modal knowledge graph (MMKG) with multi-agent orchestration for end-to-end building damage assessment and recovery planning, aligned with the Last Planner System (LPS) through look-ahead planning, make-ready checks, and explicit constraint management. The MMKG captures emergency management criteria, typhoon evolution and exposure status, building-level damage evidence, and reusable post-disaster recovery templates. The approach uses the MMKG as a shared and traceable evidence base, enabling multi-agent orchestration to generate a constraint log, assign make-ready status, and support weekly work plan release under explicit rule-based conditions. Typhoon Yagi is used as an illustrative proof-of-concept case to demonstrate how heterogeneous post-typhoon evidence can be translated into LPS-oriented planning artifacts. The results indicate that the framework is feasible for generating traceable planning outputs under multi-source uncertainty; however, quantitative field-scale validation and execution stage performance assessment remain future work.
KW  - Last Planner System
KW  - multi-agent
KW  - knowledge-driven
KW  - multi-modal knowledge graph
KW  - Typhoon disaster.
PB  - 
T2  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
DA  - 2026/06/22
CY  - Singapore, Singapore
L1  - http://iglc.net/Papers/Details/2561/pdf
L2  - http://iglc.net/Papers/Details/2561
N1  - Export Date: 19 June 2026
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -