Document Type
Article
Publication Date
4-2005
Abstract
Past research shows that schedule slippage within the acquisition community often adversely affects the cost and performance characteristics within a program. To minimize the risk of underestimating schedule growth, a program manager needs a reliable initial schedule estimate. Statistical models can provide such estimates; however, they require accurate historical data and predictive drivers. Many archival studies have investigated potential drivers of schedule growth. In this article, we review several of those studies that investigated schedule slippage and highlight common potential drivers of schedule growth, ending with a list of variables for estimators to consider for incorporating into future predictive models.
Source Publication
Defense Acquisition Research Journal
Recommended Citation
Monaco, J.V. & White, E.D. (2005). Investigating Schedule Slippage. Defense Acquisition Research Journal: A Publication of the Defense Acquisition University, 12(2), 176-192.
Included in
Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons
Comments
The Defense Acquisition Research Journal (Defense ARJ, or ARJ) is a scholarly peer-reviewed journal published by Defense Acquisition University (DAU). The archive of Defense ARJ issues is available to readers here.