https://doi.org/10.24928/2026/0166
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.
Lean construction, Last Planner System, agile project management, Scrum, governance.
Download: BibTeX | RIS Format
Reference in APA 7th edition format:
Vieira, J. P. P., Reck, R. H., Etges, B. M. B. S., Sousa, M. C. & Costa, W. O.. (2026). Governing stochastic service demands in lean construction: a hybrid LPS-Scrum model. In Hamzeh, F., Poshdar, M., & Garcia-Lopez,, N. P. (Eds.), Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34) (pp. 1595–1606). https://doi.org/10.24928/2026/0166
Shortened reference for use in IGLC papers:
Vieira, J. P. P., Reck, R. H., Etges, B. M. B. S., Sousa, M. C. & Costa, W. O.. (2026). Governing stochastic service demands in lean construction: a hybrid LPS-Scrum model. IGLC34. https://doi.org/10.24928/2026/0166