Priority Risk Index: A Novel Approach to Determining Project Health for the United States Corps of Engineers

Authors

  • Garrett Batt
  • Madison Kusano
  • Tavin McMickens
  • Joel Rubin
  • James Schreiner

DOI:

https://doi.org/10.37266/ISER.2025v12i2.pp115-120

Keywords:

Systems Decision Process, Military Construction, Risk-Informed Decision Making

Abstract

This report explores the intricacies of the U.S. Army Corps of Engineers (USACE) business and project management processes, focusing on Military Construction (MILCON) projects. The study examines a methodology for assessing project health through the contingency requirements of CCIR#8, employing value modeling, project metrics, and linear regression analysis on individual projects. The report outlines the process of authorizing and appropriating MILCON projects through the National Defense Authorization Act (NDAA), the standard Project Delivery Business Process (PDBP) of USACE, data collection and validation of aggregate project data, and risk assessment. The methods of data collection involve key stakeholders, critical reports, and CCIR #8 data from within the North Atlantic Division (NAD). Highlighting federal regulations and guidelines, findings include a novel approach to milestone-driven risk-informed decision-making and improved data quality. The report presents a novel Predictive Risk Index model prototype for evaluating MILCON project health and predicting CCIR #8.

References

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USACE. (2018, July 31). Managemnet: USACE Business process. Retrieved from United States Army Corps of Engineers: https://www.publications.usace.army.mil/Portals/76/Users/227/19/2019/ER_5-1-11.pdf?ver=2018-09-27-142333-540

USACE. (2022). USACE CCIR Requirements Instructions. Annex D. Retrieved from United States Army Corps of Engineers.

Published

2025-05-12

How to Cite

Batt, G., Kusano, M., McMickens, T., Rubin, J., & Schreiner, J. (2025). Priority Risk Index: A Novel Approach to Determining Project Health for the United States Corps of Engineers. Industrial and Systems Engineering Review, 12(2), 115-120. https://doi.org/10.37266/ISER.2025v12i2.pp115-120

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