TY  - CONF
TI  - Governing stochastic service demands in lean construction: a hybrid LPS-Scrum model
AU  - Vieira, João P. P
AU  - Reck, Raquel H.
AU  - Etges, Bernardo M. B. S.
AU  - Sousa, Mayara C.
AU  - Costa, Wesley O.
AD  - M.Sc. Eng., Lean Consultant at Climb Consulting Group, Porto Alegre, Brazil, joao@climbgroup.com.br,  orcid.org/0000-0003-0292-2570
AD  - PhD and Lean Consultant at Climb Consulting Group, Porto Alegre, RS, Brazil, +55 51 998711561, raquel@climbgroup.com.br, orcid.org/0000-0003-1928-3461
AD  - PhD Candidate, M.Sc. Eng., Founding-Partner at Climb Consulting Group, Federal University of Rio Grande  do Sul, Porto Alegre, Brazil, bernardo@climbgroup.com.br, orcid.org/0000-0002-3037-5597
AD  - Planning Coordinator at Wanderley Constructions, Campina Grande, Brazil orcid.org/0009-0006- 6666-7790
AD  - Production Engineer at Wanderley Constructions, Campina Grande, Brazil orcid.org/0009-0001-6350-0593
ED  - Hamzeh, Farook
ED  - Poshdar, Mani
ED  - Garcia-Lopez,, Nelly P.
ED  - Gan, Vincent
PY  - 2026
DA  - 2026/06/22
T2  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
C3  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
CY  - Singapore, Singapore
SP  - 1595
EP  - 1606
DO  - 10.24928/2026/0166
SN  - 2789-0015 (ISSN)
AB  - Lean Construction planning systems, such as the Last Planner System (LPS), are effective in stabilizing production flows but face limitations when applied to service‑oriented contexts characterized by high variability and stochastic demand. This paper addresses this gap by proposing and evaluating a Lean–Agile governance model that integrates adaptive prioritization mechanisms from Scrum with commitment‑based execution mechanisms from the LPS. Using a Design Science Research approach, a governance artefact was developed and implemented in the technical assistance function of a residential construction company. The model structures governance across three layers: demand discovery, value‑based prioritization, and execution commitment. Results from a 70‑week longitudinal evaluation indicate reductions in service lead time, improved backlog stability, and increased transparency in decision‑making. The study contributes to Lean Construction research by demonstrating how commitment‑based planning systems can be extended to stochastic service environments through context‑sensitive governance design.
KW  - Lean construction
KW  - Last Planner System
KW  - agile project management
KW  - Scrum
KW  - governance.
L1  - https://www.iglc.net/papers/details/2478/pdf
UR  - https://www.iglc.net/papers/details/2478
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -