Andrews University


Ph.D. in Leadership

August 2007

U.S. Naval War College


M.A. in National Security and Strategic Studies

June 2019

U.S. National Defense University


M.S. in Government Information Leadership

(Chief Information Officer Concentration)

June 2015

Purdue University


M.S. in Industrial Engineering

May 2009

Embry-Riddle Aeronautical University


MBA in Aviation

April 2002

California State Polytechnic University, Pomona


B.S. in Biotechnology

June 1995

Graduate Certificates

U.S. National Defense University


Chief Information Officer Certificate

March 2013

U.S. Naval War College


Joint Professional Military Education (Phase II)

June 2019

U.S. Air War College


Joint Professional Military Education (Phase I)

January 2016


  1. Long, C. (2019). President Trump Needs to Stop the Acts of Corruption in the Republic of Indonesia. In N. Kristof Republic of Indonesia Fall 2018 Compendium (pp. 106-120).
  2. Long, C. (2017). The United States Coast Guard Firehouse Staffing Analysis. MODSIM World 2017 Proceedings. Paper Presented at the MODSIM World 2017 Conference.
  3. Long, C. (2013). The Performance Impact of Leadership Training: An Empirical Study on the United States Coast Guard. In K. Backhaus The Eastern Academy of Management Proceedings. Paper presented at The 50th Annual Meeting of the Eastern Academy of Management, May 8-11 (pp. 1159 - 1187). Baltimore, MD.
  4. Long, C. (2007). An Evaluation of Performance as it Relates to Leadership Training in the United States Coast Guard (Dissertation). Andrews University, Berrien Springs, MI 


MODSIM World 2017

"United States Coast Guard Firehouse Staffing Analysis"

April 25-27, 2017 (Virginia Beach, VA) 

INFORMS Annual Meeting 2016 program

"United States Coast Guard Reduced Staffing Simulation"

November 13-16, 2016 (Nashville, TN) 

Canadian Operations Research Society/ INFORMS International Conference

"Air Defense Facility Launch Protocol Modeling and Simulation"

June 14-17, 2015 (Montreal, Canada)

IBM Information on Demand 2013

"What Do Oil Rig Fires and Federal Grant Proposals Have in Common? Big Data & Analytics!"

November 6, 2013 (Las Vegas, NV) 

50th Eastern Academy of Management Conference 2013

"The Performance Impact of Leadership Training: An Empirical Study of the United States Coast Guard" 

May 9, 2013 (Baltimore, MD)

96th Annual ISM International Supply Management Conference

"Creating Usable Thresholds for Performance Metrics" 

May 15-18, 2011 (Orlando, FL)

Supply Chain Planning and Forecasting: Best Practices

"NonStandard Return on Investment Calculations"

October 24-26, 2010 (Orlando, FL)

Servigistics Exchange 2010

"Managing your Customer Commitments - When it Matters Most (Hurricane Katrina)"

March 3, 2010 (Atlanta, GA)


Working Documents


  • Long, C. "Military Response to Natural Disasters."   The paper begins with a historical summary of military aid and then analyzes over 40 years of the United States military humanitarian response. This in-depth study reviews the U.S. military’s deployment events for cyclones, earthquakes, and floods to determine the strength of the natural disaster.  (UNDER REVIEW: WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY) 

  • Long, C. "Military Response to Natural Disasters: The Resilience of Affected Nations."   This paper expands on previous research by examining the vulnerability of the impacted nations rather than the power of natural disaster. Military responses are evaluated to determine the impacted nation’s exposure and risk, susceptibility and structural vulnerability, and coping capacity. 

  • Long, C. "President Trump's Impenetrable Border Wall."  This paper examines the impact on illegal immigration created by erecting an actual “impenetrable wall.”  This wall will deny immigrants unauthorized access across the border or drive them to find new methods of entry into the United States.  This paper examines the walls change in migrant flow. 

  • Long, C. "Time/Importance Decision-Making Model."  The Time/Importance Decision-Making Model illuminates the interaction of two parameters: the amount of time available for decision-making and the importance of the decision.  Four quadrants of the model are introduced to assist the decisionmaker: limited time/unimportant decision, extended time/unimportant decision, limited time/important decision, and extended time/important decision. 

  • Long, C. & Landry S. "Modeling Airport Arrival and Departure Unimpeded Taxi Times."   This research examines the stochastic nature of ground operations to include taxi speeds and gate distance from the runway. While conducting our research at a medium size international airport, we found that the unimpeded taxi time for arrivals was well predicted by distance. This was not the case for departure unimpeded taxi times. Distance did impact departure time, but the unimpeded taxi time cannot be predicted by distance alone. 

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