Document Type
Article
Publication Date
7-3-2017
Abstract
Purpose: The introduction of “should cost” in 2011 required all Major Defense Acquisition Programs (MDAP) to create efficiencies and improvements to reduce a program’s “will-cost” estimate. Realistic “will-cost” estimates are a necessary condition for the “should cost” analysis to be effectively implemented. Owing to the inherent difficulties in establishing a program’s will-cost estimate, this paper aims to propose a new model to infuse realism into this estimate.
Design/methodology/approach: Using historical data from 73 Departments of Defense programs as recorded in the selected acquisition reports (SARs), the analysis uses mixed stepwise regression to predict a program’s cost from Milestone B (MS B) to initial operational capability (IOC).
DOI
10.1108/JDAL-04-2017-0004
Source Publication
Journal of Defense Analytics and Logistics
Recommended Citation
Trudelle, R., White, E. D., Ritschel, D., Koschnick, C., & Lucas, B. (2017). Modeling median will-cost estimates for defense acquisition programs. Journal of Defense Analytics and Logistics, 1(1), 19–33. https://doi.org/10.1108/JDAL-04-2017-0004
Comments
All articles published in JDAL are published Open Access under a Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC BY 4.0
Sourced from the publisher version of record at Emerald. The citation and DOI link are noted below.