Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science (2021) / Chapter Skim
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Appendix C: Data Science Case Studies in Defense Acquisition
Appendix C: Data Science Case Studies in Defense Acquisition
Pages 109-119
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From page 109... ...
Defense acquisition program managers are responsible for achieving development, production, and sustainment objectives of their projects. The following case studies demonstrate how data science has been key to decision making in DoD acquisition programs for decades.
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and its predecessors kept a database of contractor costs for DoD acquisition contracts that analysts used to make cost estimates. That database was assembled by individual analysts who manually entered data from individual contractor cost data reports submitted as part of the acquisition contracts.
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From page 111... ...
A key function of the DoD acquisition workforce is testing and evaluating new systems. The goal of operational test and evaluation is to understand how new or upgraded systems will perform under realistic combat conditions prior to full-rate production and fielding to combat units (DoD 2016)
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From page 112... ...
• The Science of Test (SOT) Research Consortium, sponsored by DOT&E and the Test Resource Management Center, is an aca demic research consortium supporting faculty experts in experi mental design, statistical analysis, reliability, and modeling and simulation from the Naval Postgraduate School, the Air Force Institute of Technology, and six additional universities.
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From page 113... ...
Applying statistical design of experiments at a program level allowed DoD to establish a testing and analysis program that identified an initial design for the Enhanced Combat Helmet as providing insufficient protection against small arms penetrations. This analysis led to a key design change in the ballistic shell laminate material of the combat helmet (DOT&E 2016; Hester et al.
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From page 114... ...
Courtesy of RAND. FIGURE C.2 Order fulfillment process for army units in the continental United States.
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From page 115... ...
Other analyses identified items that were no longer in demand and could be removed from storage. In addition, data analytics identified when warehouses and storage containers could be reconfigured to improve space utilization for higher-demand items and generating credit for returning unnecessary items (Dumond et al.
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From page 116... ...
Business Analytics Saves Air Force $2 Billion and Counting Data Science Application: Business analytics to inform acquisition contracting. Category management is an effort to move from managing purchases and prices individually across thousands of procurement items to managing spend and total cost for entire categories of purchases.
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From page 117... ...
Using these tools, the BICC team linked existing government data sets such as Federal Procurement Data SystemNext Generation, the System for Award Management, and the Contracting Business Intelligence Service, which collects data from Air Force contract writing systems and Government Purchase Card programs to create the Air Force Business Intelligence Tool. This centralized team of 9 people delivered $2 billion in savings in its first 5 years of operation.
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From page 118... ...
. A brief summary of the use of performance and cost assessment data for the C-17 program appears in Box C.3.
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From page 119... ...
Upskilling: Lack of an organic ability to perform cross program data analysis. Hester, J., T
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