الفهرس 
Title : Forecasting the performance of last planner system implementation using system dynamics
SummaryOnly 14 pages are availabe for public view
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Abstract
Last Planner System (LPS) has gained significant importance in recent years due to increased interest in implementing lean concepts in the construction industry. Several metrics for tracking the performance of LPS implementation have been proposed including Promise Percent Complete (PPC), Task Anticipated (TA) and Tasks Made Ready (TMR). In addition, there is little understanding of the role that certain personality traits like the level of commitment and willingness to make promises have on the performance of LPS. This research developed a System Dynamics model to better understand the dynamics among LPS metrics and the impact of personality traits on LPS metrics. The model was verified by simulating various scenarios and comparing against expected performance. The research will assist construction companies interested in applying LPS on their projects to better forecast project performance taking into consideration the dynamics taking place among project performance metrics and the personality traits of their employees