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Eva Regnier

Operations and Logistics

Phone: (831) 656-2912
  • PhD - Georgia Institute of Technology 2001
NPS Experience
  • 2019 - current: Professor
  • 2007 - current: Associate Professor
  • 2001 - 2007: Assistant Professor
Research Interests
probability and statistics, predictive and prescriptive analytics, dynamic decisions under uncertainty, decision analysis, multi-criteria decision-making, energy
Teaching Interests
probability and statistics, risk analysis and management, modeling and analysis for decision-making, psychology of decision-making, and logistics management


  • 2018 - GSBPP Research Excellence Award in Defense-Focused Research, NPS GSBPP
  • 2017 - Finalist, Manufacturing & Service Operations Management (MSOM) Practice-Based Research Competition, 2017, INFORMS MSOM

Scholarly Work

  • Journal Articles
  • Regnier, E., & Feldmeier, J. W, A DA view of D-Day. Decision Analysis.
  • Regnier, E, (2020). What Is Six Hours Worth? The Impact of Lead Time on Tropical Storm Preparation Decisions. Decision Analysis, 1(17), 9-23.
  • Regnier, E., & MacKenzie, C. A, (2019). The Hurricane Decision Simulator: A Tool for Marine Forces in New Orleans to Practice Operations Management in Advance of a Hurricane. Manufacturing & Service Operations Management, 1(21), 103-120.
  • Regnier, E, (2017). Probablity forecasts made at multiple lead times. Management Science.
  • Simon, J., Apte, A. U., & Regnier, E, (2017). An Application of the Multiple Knapsack Problem: The Self-Sufficient Marine. European Journal of Operational Research, 3(256), 868-876.
  • Apte, A. U., Regnier, E., Simon, J., & Khawam, J, (2015). Complexity and Self-Sustainment in Disaster Response Supply Chains. Special Issue of Decision Sciences.
  • Regnier, E., Simon, J., Nussbaum, D. A., & Whitney, L. K, (2015). The fuel multiplier in multi-stage supply chains. The Journal of Defense Modeling and Simulation, 1(12), 5–17.
  • Simon, J., Regnier, E., & Whitney, L, (2014). A value-focused approach to energy transformation in the United States Department of Defense. Decision Analysis, 2(11), 117–132.
  • Technical Reports
  • Apte, A. U., Regnier, E., & Simon, J, (2014). Naval Expeditionary Logistics: The Self Sufficient Marine.