TY  - CONF
TI  - How Last Planner Motivates Subcontractors to Improve Plan Reliability – a Game Theory Model
AU  - Sacks, Rafael
AU  - Harel, Michael
AD  - Senior Lecturer, Faculty of Civil and Env. Engineering, Technion – Israel Institute of Technology, Haifa 32000, Israel Phone +972-4-8293190, cvsacks@techunix.technion.ac.il
AD  - PhD Candidate, Faculty of Civil and Env. Engineering, Technion – Israel Institute of Technology, Haifa 32000, Israel Phone +972-4-8292245, harelm@techunix.technion.ac.il
PY  - 2006
DA  - 2006/01/01
T2  - 14th Annual Conference of the International Group for Lean Construction
C3  - 14th Annual Conference of the International Group for Lean Construction
CY  - Santiago, Chile
SP  - 443
EP  - 454
AB  - There is an inherent relationship between subcontractors’ labour resource allocation behaviour and the level of plan reliability they perceive. Under fixed-price or lump sum contracts, projects with low plan reliability can only be profitable for subcontractors when buffers of ready work are large enough to shield their productivity. A normal form game theory analysis can show that subcontractors will naturally tend to behave defensively whenever they perceive that plans are unreliable, resulting in unreliable labour allocation, and thus reducing plan reliability further, resulting in a vicious circle. The Last Planner System works to improve plan reliability. However, in order to achieve continuous improvement of the system, a rigorous model is needed to improve understanding of the mechanisms by which it affects labour resource allocation behaviour. The extended form game theory model presented in this research explains the relationship between project managers and subcontractors, and indicates at what levels of trust behaviour changes from competitive to collaborative. Ideas for enhancing construction procurement and production system design to make plans more reliable are discussed against the background of this theoretical explanation.
KW  - Subcontracting
KW  - game theory
KW  - Last Planner
KW  - plan reliability
L1  - https://www.iglc.net/papers/details/444/pdf
UR  - https://www.iglc.net/papers/details/444
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -