Semester

Summer

Date of Graduation

2008

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Industrial and Managements Systems Engineering

Committee Chair

Robert C Creese

Abstract

Construction projects are complex and risky because there are so many variables that may affect their profitability especially in terms of their cost and schedule. The information provided by the measurement of progress, the expended dollars and the forecasting of the outcome of a construction project will provide valuable information as to how to proceed, the impacts, corrective action required, and the trade-offs necessary to maximize profits and minimize risk. This study focused on using different indicators to measure the schedule performance and cost performance of construction projects, and to predict final cost and duration by the moving average and exponential smoothing forecasting techniques. The recommended indicator for schedule predication was the cumulative schedule performance index obtained by using earned schedule. The recommended indicator for estimating final cost was the cumulative cost performance index. These two indicators always produced acceptable results for the given data sets and were the simplest methods to use.

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