ARJ 83

From the Chairman and Executive Editor

Estimating an Acquisition Program’s Likelihood of Staying Within Cost and Schedule Bounds

Capt Ryan Trudelle, USAF, Edward D. White, Lt Col Clay Koschnick, USAF, Lt Col Jonathan D. Ritschel, USAF, and Lt Col Brandon Lucas, USAF

Using logistic regression and odds ratios, the authors investigate and determine which programmatic characteristics appear statistically indicative of exceeding certain cost and schedule overrun thresholds.

APA Citation: 
Trudelle, R., White, E. D., Koschnick, C., Ritschel, J. D., & Lucas, B. (2017). Estimating an acquisition program’s likelihood of staying within cost and schedule bounds. Defense Acquisition Research Journal, 24(4), 600–625. https://doi.org/10.22594/dau.17-775.24.04

Assessing the Likelihood of Achieving Prototyping Benefits in Systems Acquisition

Maroun Medlej, Steven M. F. Stuban, and Jason R. Dever

A consistent and repeatable process to assess a prototype’s likelihood in achieving its expected benefits in defense acquisition is not currently in use.

APA Citation:
Medlej, M., Stuban, M. F., & Dever, J. R. (2017). Assessing the likelihood of achieving prototyping benefits in systems acquisition. Defense Acquisition Research Journal, 24(4), 626–655. https://doi.org/10.22594/dau.17-774.24.04

Supply Chain Management Maturity Level Assessment

COL Scott S. Haraburda, USA (Ret.)

The Defense Industrial Base can benefit through measuring and improving the maturity of areas within its Supply Chain Management (SCM) by employing the SCM Maturity Model (SCM3). The model has proven to be a useful tool in identifying focus areas for initial and ongoing improvements within the DoD Supply Chain.

APA Citation:
Haraburda, S. S. (2017). Supply chain management maturity level assessment. Defense Acquisition Research Journal, 24(4), 656–681. https://doi.org/10.22594/dau.16-772.24.04

Preferred Job Competencies of Engineering Leaders in DoD

Tim Clardy, Shahram Sarkani, and Thomas A. Mazzuchi

This study analyzes job advertisements for DoD engineering leadership positions to identify preferred competencies by employers. Multidimensional scaling is used to further show the dimensional interpretation of employer preferences which can aid in the selection and professional development of engineering leaders.

APA Citation:
Clardy, T., Sarkani, S., & Mazzuchi, T. A. (2017). Preferred job competencies of engineering leaders in DoD. Defense Acquisition Research Journal, 24(4), 682–726. https://doi.org/10.22594/dau.16-765.24.04