A Development of Performance Metrics for Forecasting Schedule Slippage

Project schedules should mirror the project, as the project takes place. Accurate project schedules, when updated and revised, reflect the actual progress of construction as performed in the field. Various methods for monitoring progress of construction are successful in their representation of ac...

Full description

Bibliographic Details
Main Author: Arcuri, Frank John
Other Authors: Civil Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/32108
http://scholar.lib.vt.edu/theses/available/etd-05022007-170555/
id ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-32108
record_format oai_dc
spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-321082020-09-26T05:37:22Z A Development of Performance Metrics for Forecasting Schedule Slippage Arcuri, Frank John Civil Engineering de la Garza, Jesus M. Vorster, Michael C. Hildreth, John C. schedule performance metric early warning system forecast project control schedule control Project schedules should mirror the project, as the project takes place. Accurate project schedules, when updated and revised, reflect the actual progress of construction as performed in the field. Various methods for monitoring progress of construction are successful in their representation of actual construction as it takes place. Progress monitoring techniques clearly identify when we are behind schedule, yet it is less obvious to recognize when we are going to slip behind schedule. This research explores how schedule performance measurement mechanisms are used to recognize construction projects that may potentially slip behind schedule, as well as what type of early warning they provide in order to take corrective action. Such early warning systems help prevent situations where the contractor and/or owner are in denial for a number of months that a possible catastrophe of a project is going to finish on time. This research develops the intellectual framework for schedule control systems, based on a review of control systems in the construction industry. The framework forms the foundation for the development of a schedule control technique for forecasting schedule slippage â the Required Performance Method (RPM). The RPM forecasts the required performance needed for timely project completion, and is based on the contractorâ s ability to expand future work. The RPM is a paradigm shift from control based on scheduled completion date to control based on required performance. This shift enables forecasts to express concern in terms that are more tangible. Furthermore, the shift represents a focus on what needs to be done to achieve a target completion date, as opposed to the traditional focus on what has been done. The RPM is demonstrated through a case study, revealing its ability to forecast impending schedule slippage. Master of Science 2014-03-14T20:34:48Z 2014-03-14T20:34:48Z 2007-04-30 2007-05-02 2007-05-16 2007-05-16 Thesis etd-05022007-170555 http://hdl.handle.net/10919/32108 http://scholar.lib.vt.edu/theses/available/etd-05022007-170555/ FrankJArcuriThesisDocument.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic schedule performance metric
early warning system
forecast
project control
schedule control
spellingShingle schedule performance metric
early warning system
forecast
project control
schedule control
Arcuri, Frank John
A Development of Performance Metrics for Forecasting Schedule Slippage
description Project schedules should mirror the project, as the project takes place. Accurate project schedules, when updated and revised, reflect the actual progress of construction as performed in the field. Various methods for monitoring progress of construction are successful in their representation of actual construction as it takes place. Progress monitoring techniques clearly identify when we are behind schedule, yet it is less obvious to recognize when we are going to slip behind schedule. This research explores how schedule performance measurement mechanisms are used to recognize construction projects that may potentially slip behind schedule, as well as what type of early warning they provide in order to take corrective action. Such early warning systems help prevent situations where the contractor and/or owner are in denial for a number of months that a possible catastrophe of a project is going to finish on time. This research develops the intellectual framework for schedule control systems, based on a review of control systems in the construction industry. The framework forms the foundation for the development of a schedule control technique for forecasting schedule slippage â the Required Performance Method (RPM). The RPM forecasts the required performance needed for timely project completion, and is based on the contractorâ s ability to expand future work. The RPM is a paradigm shift from control based on scheduled completion date to control based on required performance. This shift enables forecasts to express concern in terms that are more tangible. Furthermore, the shift represents a focus on what needs to be done to achieve a target completion date, as opposed to the traditional focus on what has been done. The RPM is demonstrated through a case study, revealing its ability to forecast impending schedule slippage. === Master of Science
author2 Civil Engineering
author_facet Civil Engineering
Arcuri, Frank John
author Arcuri, Frank John
author_sort Arcuri, Frank John
title A Development of Performance Metrics for Forecasting Schedule Slippage
title_short A Development of Performance Metrics for Forecasting Schedule Slippage
title_full A Development of Performance Metrics for Forecasting Schedule Slippage
title_fullStr A Development of Performance Metrics for Forecasting Schedule Slippage
title_full_unstemmed A Development of Performance Metrics for Forecasting Schedule Slippage
title_sort development of performance metrics for forecasting schedule slippage
publisher Virginia Tech
publishDate 2014
url http://hdl.handle.net/10919/32108
http://scholar.lib.vt.edu/theses/available/etd-05022007-170555/
work_keys_str_mv AT arcurifrankjohn adevelopmentofperformancemetricsforforecastingscheduleslippage
AT arcurifrankjohn developmentofperformancemetricsforforecastingscheduleslippage
_version_ 1719342240323600384