TY  - CONF
TI  - Tactical Obeyas for production control: visual management with Kaizen, Takt & LPS
C1  - Singapore, Singapore
C3  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
SP  - 1487
EP  - 1498
PY  - 2026
DO  - 10.24928/2026/0119
AU  - Lerche, Jon
AU  - Etges, Bernardo Martim Beck da Silva
AD  - Founder &; Advisor, Upscale Performance, jonlerche@gmail.com, Denmark, orcid.org/0000-0001-7076-9630
AD  - PhD Candidate, M.Sc. Eng. at Federal University of Rio Grande do Sul; Founding-Partner at Climb Consulting Group, Porto Alegre, Brazil, bernardo@climbgroup.com.br, orcid.org/0000-0002-3037-5597
ED  - Hamzeh, Farook
ED  - Poshdar, Mani
ED  - Garcia-Lopez,, Nelly P.
AB  - Offshore wind turbine pre-assembly is a high-stakes construction environment characterised by extreme logistical complexity, crane-dependent operations, and tight vessel/weather constraints where time is the primary currency. Despite the increasing adoption of Lean Construction approaches such as the Last Planner System (LPS) and Obeya rooms, current implementations often lack the operational distinction among management levels needed for tactical production control at the site level. This paper employs a Design Science Research (DSR) approach to develop and evaluate a multi-layered Visual Management (VM) artefact. This Tactical Obeya system integrates (1) a takt production line, (2) LPS make ready, (3) an integrated deviation management layer linking safety, quality, and technical constraints to quantified flow interruptions, and (4) Kaizen layer introducing continuous improvements. The artefact shifts management emphasis from reactive output reporting toward proactive input verification and commitment-based coordination (“Reliable Promising”), enabling collective blocker removal and escalation to strategic kaizen improvement events. The theoretical analysis explains how the system reduces flow variability and enhances value delivery to the installation vessel. Initial evaluation indicates improved predictability and stability sufficient to support a reduction trajectory from a volatile 28-day average loadout cycle toward a consistent 20-day target, enabled by continuous feedback loops and structured deviation learning.
KW  - Constraint analysis
KW  - Kaizen
KW  - Last Planner System
KW  - Takt Planning
KW  - visual management.
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/2447/pdf
L2  - http://iglc.net/Papers/Details/2447
N1  - Export Date: 19 June 2026
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -