Primary Author: Mr Jeffery L. Ottesen PE CFCC PSP
Co-author(s): Mr Kenji P Hoshino CFCC PSP
Audience Focus: Advanced
Application Type: Application
Venue: 2013 AACE International Annual Meeting, Washington, DC, USA
Abstract: Given inherent difficulties in construction, optimizing labor efficiencies is paramount, while failure bleeds profit margin and can cause critical delay. Correlation between productivity loss and delay is not always apparent, thus making proof of cause and effect for productivity loss an arduous task. Such proofs typically rely upon contemporaneous records related to schedule and resources. Resource loading and leveling a CPM schedule has been around for decades, but not enough schedules fully utilize such capabilities. Common to all schedules, however, are planned work activities and logic (whether specific or implied) that define intended work sequence. Whether resource loaded or not, these activities represent to some degree a coordinated management effort of time and resources. This paper presents a means to quantify and analyze schedule activity densities pursuant to identifying productivity loss in real-time, or in retrospect when supporting a claim.
Co-author(s): Mr Kenji P Hoshino CFCC PSP
Audience Focus: Advanced
Application Type: Application
Venue: 2013 AACE International Annual Meeting, Washington, DC, USA
Abstract: Given inherent difficulties in construction, optimizing labor efficiencies is paramount, while failure bleeds profit margin and can cause critical delay. Correlation between productivity loss and delay is not always apparent, thus making proof of cause and effect for productivity loss an arduous task. Such proofs typically rely upon contemporaneous records related to schedule and resources. Resource loading and leveling a CPM schedule has been around for decades, but not enough schedules fully utilize such capabilities. Common to all schedules, however, are planned work activities and logic (whether specific or implied) that define intended work sequence. Whether resource loaded or not, these activities represent to some degree a coordinated management effort of time and resources. This paper presents a means to quantify and analyze schedule activity densities pursuant to identifying productivity loss in real-time, or in retrospect when supporting a claim.