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Finance and Financial Management

Air Force Institute of Technology

Program management

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Business

Using Multiple And Logistic Regression To Estimate The Median Will-Cost And Probability Of Cost And Schedule Overrun For Program Managers, Ryan C. Trudelle Mar 2017

Using Multiple And Logistic Regression To Estimate The Median Will-Cost And Probability Of Cost And Schedule Overrun For Program Managers, Ryan C. Trudelle

Theses and Dissertations

The main concern of a program manager is to manage the cost, schedule, and performance triad of a program. Historically, programs tend to meet the performance aspect at the expense of cost or schedule, or both. This research gives the acquisition community a set of tools that enables them to impartially analyze the cost and schedule of their programs, helping to mitigate these issues. Five regression models encompass this toolset; one to estimate the median program cost and four to identify the probability of realizing a given overrun. The cost model explains 81% of the variation in program acquisition using …


Predicting Schedule Duration For Defense Acquisition Programs: Program Initiation To Initial Operational Capability, Christopher A. Jimenez Mar 2016

Predicting Schedule Duration For Defense Acquisition Programs: Program Initiation To Initial Operational Capability, Christopher A. Jimenez

Theses and Dissertations

Accurately predicting the most realistic schedule for a defense acquisitions program is an extremely difficult task considering the inherent risk and uncertainties present in the early stages of a program. We use a multiple regression analysis to predict schedule duration in a defense acquisition program. The prediction scope of our research is limited to predicting schedule duration from program initiation to initial operation capability (IOC).We use the data from 56 programs across all services, which was acquired from a SAR database created by RAND. We were able to achieve an R2 of 0.429 and an Adjusted R2 of 0.384 in …