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Eliminating the Weakest Link Approach to Army Unit Readiness

Author

Listed:
  • Paul L. Goethals

    (Department of Mathematical Sciences, U.S. Military Academy, West Point, New York 10996)

  • Natalie M. Scala

    (Department of e-Business and Technology Management, Towson University, Towson, Maryland 21252)

Abstract

One of the most difficult measurements to obtain with some level of accuracy is military readiness. While a multitude of factors exist that affect the ability of a unit to achieve success in mission, an accurate assessment of readiness is crucial and drives federal funding, defense policy, and deployment decisions. The current readiness metric for the U.S. Army statically assesses units on personnel, equipment on hand, equipment readiness/serviceability, and unit training proficiency using a weakest-link approach. This leads to reporting challenges and the tendency for commanders to subjectively upgrade their units’ assessments. This research proposes a metric that evaluates units with greater precision, flexibility, and robustness. By taking a decision analysis approach and using desirability functions, we are able to measure readiness based on a set of priorities, adapting for type of mission and unit. We test our metric using notional case studies and discuss extensions to other branches of the U.S. military and beyond.

Suggested Citation

  • Paul L. Goethals & Natalie M. Scala, 2018. "Eliminating the Weakest Link Approach to Army Unit Readiness," Decision Analysis, INFORMS, vol. 15(2), pages 110-130, June.
    • Handle: RePEc:inm:ordeca:v:15:y:2018:i:2:p:110-130
    DOI: 10.1287/deca.2017.0366
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    References listed on IDEAS

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    1. Congressional Budget Office, 2011. "Linking the Readiness of the Armed Forces to DoD's Operation and Maintenance Spending," Reports 22105, Congressional Budget Office.
    2. D. P. Caver & M. Mazumdar, 1967. "Statistical estimation in a problem of system reliability," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 14(4), pages 473-488.
    3. Congressional Budget Office, 2011. "Linking the Readiness of the Armed Forces to DoD's Operation and Maintenance Spending," Reports 22105, Congressional Budget Office.
    4. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    5. Kwang‐Jae Kim & Dennis K. J. Lin, 2000. "Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(3), pages 311-325.
    6. Derek Trunkey, 2013. "Implications of the Department of Defense Readiness Reporting System: Working Paper 2013-03," Working Papers 44127, Congressional Budget Office.
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