Facebook pixel Rick Hesse, DSc | Faculty | Pepperdine Graziadio Business School Skip to main content
Pepperdine | Graziadio Business School
Rick Hesse

Rick Hesse, DSc

Professor Emeritus of Decision Sciences
Graziadio Business School
Curriculum Vitae

Biography

Rick Hesse is Professor Emeritus  of Decision Sciences at Pepperdine University's Graziadio Business School since January 2013 after 15+ years at Pepperdine. He has taught in engineering schools at Washington University, Mercer, West Point, and Georgia Tech, and in business schools at Southern Cal, San Diego State, Wake Forest, Westmont College, Cal Lutheran University, Lincoln Memorial University and Union College (KY). Rick has been teaching management science using spreadsheets in both engineering and business schools at both the graduate and undergraduate level. He has also taught management courses and economics.

From 1982-2007 he wrote a quarterly column in Decision Line, "In the Classroom," that featured teaching tips, mainly about spreadsheet use for solving quantitative models used in business and industry. Rick has written articles in Interfaces, Operations Research, Decision Sciences, Journal for Production and Inventory Management, and several textbooks.

Rick has won numerous teaching awards, including the National Decision Sciences Innovative Instructional Award, the Outstanding Civilian Service Medal from the Department of the Army for his time at West Point, and Teacher of the Year at the San Diego State School of Business.

Dr. Hesse has been involved in consulting on management science problems with companies including ArgyleHaus,  Semtech, YouBet.com, ITT Hydro-Space, Pratt & Whitney, Brown & Williamson, Piedmont Airlines, GEICO, UPS, and Bluebird. He has held seminars and speaking engagements on management science at Coca Cola, AMOCO, Hughes Systems, US Steel, RJ Reynolds and lectured at Trinity College, Dublin, UC Dublin, Tampico, Mexico and Sao Palo, Brazil. 

Education

  • Washington University, Doctor of Science, 1968. 
    Major Area: Applied Math and Computer Science, School of Engineering
  • Washington University, Master of Science, 1965. 
    Major Area: Applied Math and Computer Science, School of Engineering
  • Washington University, St. Louis, MO – B.S. 1962. 
    Major Area: Applied Math and Computer Science, School of Engineering

 

  • Hesse, R., “Student Projects with Excel Routing Templates”, 52nd National Conference Proceedings, Decision Sciences Institute, November 2021, Virtual Conference
  • Hesse, R., “Two Non-parametric Exercises,” 52nd National Conference Proceedings, Decision Sciences Institute, November 2021, Virtual Conference
  • Hesse, R., “Adjusting Forecasts with Seasonal Data”, 51st National Conference Proceedings, Decision Sciences Institute, November 2020, Virtual Conference, Best Learning and Research Paper Award 2020
  • Hesse, R. “A new r2 for Time Series Data,” 49th National Conference Proceedings, Decision Sciences Institute, November 2018, Chicago, IL. 2018
  • Hesse, R. “A new r2 for Time Series Data,” 49th National Conference Proceedings, Decision Sciences Institute, November 2018, Chicago, IL. 2018
  • DiLellio, J, Stanley, D, Hesse, R, “Risks and Opportunities of Inverse ETFs for Long Term Investors,” Journal of Applied Finance. July 2014.
  • Hesse, R, Book Reviews, INTERFACES, Volume 41, Number 6, November-December 2011, pages 601-604, “Encyclopedia of Operations Research and Management Science.,” Editor James Cochran, Louisiana Tech, published by John Wiley & Sons, Hoboken, NJ. 6,480 pp.
  • Hesse, R., Majidian, J., Kappes, A. “Real-time Expected Value vs. Expected Utility In-Class Group Exercise for Decision Trees,” 41st Proceedings of Decision Sciences National Meeting (Vol 41), Decision Sciences Institute, San Diego, CA November 2011.
  • Hesse, R. (2010). Hessian Regression for Moving Averages (1st ed., vol. 30). San Diego, CA: International Institute of Forecasters National Meeting, June 2011, Proceedings of International Institute of Forecasters.
  • "Keeping Up with CSR During a Recession," Video Interview by Rick Hesse with Bill Sanderson and Chuck Browne of Golden State Foods, GBR, Volume 12, Issue 4, 2009. https://gbr.pepperdine.edu/094/csrinterview.html
  • "How Spreadsheets Changed the World," Hesse & Deborah Hesse Scerno, Interfaces, Volume 39, No. 2, March-April 2009, pages 159-167.
  • Book Review of Creating a World without Poverty – Social Business and the Future of Capitalism by Muhammad Yunus, GBR, Vol 38, Issue 3, 2008
  • "Sesame Street for the Decision Sciences: Redux," Decision Line, Vol 38, No. 5, pages 10, 12-13, October 2007.
  • "Simulating Heights and Weights Using Regression," Decision Line, Vol 38, No. 2, pages 12-14, March 2007.
  • "Electronic Spreadsheets: The Good, the Bad and the Ugly," Graziadio Business Report, Vol 10, No. 1, January, 2007
  • Book Review: Triple Bottom Line, Graziadio Business Report, Vol 10, No. 1, January, 2007.
  • "PERT Simulation in Excel," Decision Line, Vol 37, Issue 3, pages 14-15, May 2006.
  • "Reverse Engineering Cash Flow Revenues for Forecasting," Decision Line, Vol 37, No. 2, pages 13-15, March 2006.
  • "Incorrect Nonlinear Trend Curves in Excel," FORESIGHT, Vol 1, No. 3, Feb 2006, pages 39-43.
  • "All Different Constraint and the Traveling Sales Problem Heuristics – Part II," Decision Line, Vol 36, No 4, November 2005.
  • "All Different Constraint and the Traveling Sales Problem Heuristics – Part I," Decision Line, Vol 36, No 3, September 2005.
  • "Truly Independent Variables," Decision Line, Vol 36, No. 2, June 2005.
  • "Useful Excel Array Formulas and Range Functions," Decision Line, Vol 35, No. 4, November 2004
  • "Tickling the Solver with Backwards Bounds Constraints," Decision Line, Vol 35, No. 2, March 2004.
  • "Using Excel to Demonstrate Random Numbers," with Russ Laher (Cal Tech) Decision Line, Vol. 34, No. 4, September/October 2003, pages 7-8, 18.
  • "Dollar Volume Discounts and Nonlinear Programming Quantity Discounts," Decision Line, Vol. 34, No. 3, May 2003, pages 8-11
  • "Does a Different Person Write Your E-mail?," Decision Line, Vol. 34, No. 1, December 2002/January 2003, pages 5-6 (I)
  • "Audio PowerPoint and Moving Graphs Make Presentations Easier," Decision Line, Vol. 33, No. 3, May 2002, pages 6-8.
  • "Transportation Model Reports for Excel," Decision Line, March 2001, pages 7-9, 12, Vol 32, No. 2.
  • "Triangle Distribution," Decision Line, May 2000, pages 12-14, Vol 31, No. 3
  • "Dynamic Postoptimal Analysis", Decision Line, March 2000, Vol 31, No. 2.
  • “Adjusting Forecasts with Seasonal Data”, 51st National Conference, Decision Sciences Institute, November 2020, Virtual Online Conference, Best Learning and Education Research Paper Award
  • 2005: Beta Gamma Sigma, Pepperdine University, Graziadio School of Business & Management
  • 2004: Finalist, Howard A. White Teaching Award, Pepperdine University.
  • 1982: The Outstanding Civilian Service Medal, Department of the Army, West Point.
  • 1982: The Order of the Four Chaplains, West Point.
  • 1981: Winner, Decision Science Institute Innovative Instructional Award.
  • 1981: Finalist, San Diego State University Outstanding Professor Award.
  • 1980: Finalist, Decision Sciences Institute Innovative Instructional Award.
  • 1975-1976: Teacher of the Year Award, San Diego State University, College of Business.
  • 1973: Skull and Dagger, University of Southern California
  • Hesse, R., “Student Projects with Excel Routing Templates”, 52nd National Conference Proceedings, Decision Sciences Institute, November 2021, Virtual Conference
  • Hesse, R., “Two Non-parametric Exercises,” 52nd National Conference Proceedings, Decision Sciences Institute, November 2021, Virtual Conference
  • Hesse, R., “Adjusting Forecasts with Seasonal Data”, 51st National Conference Proceedings, Decision Sciences Institute, November 2020, Virtual Conference, Best Learning and Research Paper Award 2020
  • “ANOVA LP Real Example”, with Dr. Joan Burtner, 51st National Conference, Decision Sciences Institute, November 2020, Virtual Online Conference
  • Hesse, R. “A new r2 for Time Series Data,” 49th National Conference Proceedings, Decision Sciences Institute, November 2018, Chicago, IL. 2018
  • “Exponential Schmoosing”, 49th National Conference, Decision Sciences Institute, November 2018, Chicago, IL.
  • “Using Excel for Undergraduate Statistics,” 48th National Conference, Decision Sciences Institute, November 2017, Washington, D.C.
  • Hesse, R (Presenter), Hahn, J, Seaman, S and Shanahan, D, “E2B Projects for Decision Sciences MBA Courses: Opportunity & Challenges”, INFORMS 2012 National Conference, Phoenix, AZ October 2012.
  • Hesse,R “Augmented Learning for Decision Sciences Basic Quantitative MBA,” 43rd Decision Sciences Institute National Conference, November 2012.
  • Hesse, Rick; Majidian, James; Kappes, Andy; "Real-time Expected Value versus Expected Utility In-class Group Exercise for Decision Trees," 41st Annual Decision Sciences Institute Proceeding, November 20-23, 2010, pages 1221-1226.
  • "Hessian Regression for Moving Averages," International Institute of Forecasting Conference Proceedings, San Diego, June 20-22, 2010
  • "An Investigation of a New Classroom Evaluation Instrument," National Decision Sciences Institute, November 2007, Proceedings & Presentation.
  • "Short-term Quadratic Regression for Moving Averages," National Decision Sciences Institute, November 2006, San Antonio.
  • "Short Term Regression for Moving Averages," Proceedings of the 35th National Decision Sciences Institute Conference, San Francisco, November 2005, pages 12781-12786.
  • "Incorrect Nonlinear Curve Fits in Excel," 3rd International Symposium on Forecasting, San Antonio, June 2005.
  • "Simulation Case Exercise Using Excel," Spreadsheet Miniconference at the 32nd National Decision Sciences Institute Conference, San Diego, November 23, 2002.
  • "Reducing the Educational Variation in Fully-Employed MBA Decision Science Courses," Proceedings of the 31st National Decision Sciences Institute Conference, San Francisco, November 2001.
  • "Incorrect Nonlinear Curve Fits in Excel," Proceedings of the Western Decision Sciences Institute, April 2000.
  • "Improper Logarithmic Transformations in Excel," National Proceedings of the Decision Sciences Institute, November, 2000.