IGLC.net EXPORT DATE: 26 April 2024 @CONFERENCE{Emdanat2016, author={Emdanat, Samir and Azambuja, Marcelo }, editor={ }, title={Aligning Near and Long Term Planning for Lps Implementations: A Review of Existing and New Metrics}, journal={24th Annual Conference of the International Group for Lean Construction}, booktitle={24th Annual Conference of the International Group for Lean Construction}, year={2016}, url={http://www.iglc.net/papers/details/1253}, affiliation={Director of Management Services, Ghafari Associates, LLC, 17101 Michigan Avenue, Dearborn, Michigan 48126, semdanat@ghafari.com ; Associate Professor, Southern Illinois University, Edwardsville, Illinois, mazambu@siue.edu }, abstract={Several metrics are used to measure the performance of Last PlannerĀ® System (LPS) implementations. Percent Planned Complete (PPC), Reasons for Variance (RV), Tasks Anticipated (TA), Tasks Made Ready (TMR) are common measures of lookahead and weekly work planning. However, research to correlate the various measures to the effectiveness of the LPS implementation and the overall reliability of work execution has been challenging and time consuming. Recent studies suggest that implementations have been inconsistent. Tracking on a regular basis has been difficult because the tools used are fragmented, and, even the definitions of the metrics themselves might be misunderstood by project teams. This paper overviews common LPS metrics definitions, introduces new metrics, and presents guidance on how the metrics can be applied. This study advances the knowledge in understanding LPS metrics and their impact on schedule performance. An integrated database driven software tool that supports the LPS implementation was used to mine, analyze, and visualize large amount of data in order to review the existing metrics and evaluate the predictive nature of the propose metrics designed to align near-term and long-term planning. }, author_keywords={Last PlannerĀ® System, Percent Plan Complete, Theory, Production Planning and Control }, address={Boston, Massachusetts, USA }, issn={2309-0979 }, publisher={ }, language={English}, document_type={Conference Paper}, source={IGLC}, }