Developing a Solution to the TRADOC Analysis Center’s Big Data Problem: A Big Data Opportunity

Authors

  • Lee Bares
  • Daniel Davis
  • Daniel Min
  • Kenneth Rau
  • Matthew Dabkowski

DOI:

https://doi.org/10.37266/ISER.2018v6i2.pp82-87

Abstract

As data production, collection, and analytic techniques grow, emerging issues surrounding data management and storage challenge businesses and organizations around the globe. The US Army Training and Doctrine Command’s Analysis Center (TRAC) is no exception. For example, among TRAC's many tasks is the evaluation of new materiel solutions for the Army, which typically necessitates the use of computer simulation models such as COMBAT XXI. These models are computationally expensive, and they generate copious amounts of data, straining TRAC's current resources and forcing difficult, suboptimal decisions regarding data retention and analysis. This paper addresses this issue directly by developing "big data" solutions for TRAC and evaluating them using its organizational values. Framed in the context of a use case that prescribes system requirements, we leverage Monte Carlo simulation to account for inherent uncertainty and, ultimately, focus TRAC on several high potential alternatives.

References

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Carlucci, R. & Zoller, N. (2016). Analysis of Alternatives (AoA) Process Improvement Study (CAA-2016058). Fort Belvoir, VA: Center for Army Analysis. Retrieved from http://www.dtic.mil/dtic/tr/fulltext/u2/1029532.pdf

COMBAT XXI. Fort Leavenworth, KS: TRADOC Analysis Center. Retrieved from http://www.trac.army.mil/COMBATXXI.pdf

Griggs, B. (2011). The Commodore 64, that 80’s computer icon, lives again. CNN. Retrieved from http://www.cnn.com/2011/TECH/gaming.gadgets/05/09/commodore.64.reborn/

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TRADOC Analysis Center. (2017). US Army TRADOC Analysis Center (TRAC): Overview [PowerPoint slides].

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Published

2019-03-07

How to Cite

Bares, L., Davis, D., Min, D., Rau, K., & Dabkowski, M. (2019). Developing a Solution to the TRADOC Analysis Center’s Big Data Problem: A Big Data Opportunity. Industrial and Systems Engineering Review, 6(2), 82-87. https://doi.org/10.37266/ISER.2018v6i2.pp82-87

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