Christopher M. Rump
Position: Associate Professor
Address: 363 Business Administration
Dr. Rump’s primary research area is applied operations research with a focus on probability modeling. His research interests include:
- sports statistics
- Internet congestion design and control
- production and inventory planning,
- queueing facility location
- hazardous material and aircraft maintenance routing
- police districting and resource allocation
- emergency vehicle dispatching and routing
One of the key business experiences he brings to the classroom is a recent consulting project that involved the statistical analysis and computer simulation of operations in a materials testing lab at Cooper Tires in Findlay.
Asked why he became a teacher, Dr. Rump responds, “I love university life and the ability to pursue lifelong learning. Much of the time, it doesn’t feel like a ‘job.’ I am also a big fan of the traditions and pageantry of collegiate sports. Each fall, I get to experience the excitement of possibilities that lie ahead in a new academic year and share in the energy that a new group of students brings to campus.”
The one book that Dr. Rump suggests all business students read is “More Than You Know: Finding Financial Wisdom in Unconventional Places,” by Michael J. Mauboussin. Dr. Rump explains, “In 50 or so fascinating essays, the author draws from a multidisciplinary ‘grab-bag’ covering the latest thinking in finance, behavioral economics, psychology, mathematics, probability, decision sciences and more, to give the reader invaluable insights into the concepts of risk and choice.”
- 1995, Ph.D., Operations Research, The University of North Carolina at Chapel Hill
- 1989, B.S., Magna Cum Laude, Applied Mathematical Sciences Texas A&M University, College Station
- 2009 to present, Associate Professor, Applied Statistics and Operations Research, Bowling Green State University
- 2003 to 2009, Assistant Professor, Applied Statistics and Operations Research, Bowling Green State University
- 1995 to 2003, Assistant Professor, Industrial Engineering, State University of New York (SUNY) at Buffalo
- Fall 1994, Graduate Lecturer, Kenan-Flagler Business School, The University of North Carolina at Chapel Hill
- Spring 1993, Graduate Research Assistant, Fuqua School of Business, Duke University
- Fall 1990 to Fall 1992, Graduate Research Assistant, Operations Research The University of North Carolina at Chapel Hill
- 1987 to 1989 Grader, Mathematics, Texas A&M University, College Station
- Alumni Undergraduate Teaching Award, College of Business Administration, BGSU, 2015
- Faculty Service Award, College of Business Administration, BGSU, 2014
- Most Outstanding Faculty of the Year, MBA Student Association, BGSU, 2008
- Robert A. Patton Scholarly Achievement Award, College of Business Administration, BGSU, 2006
Rump, C.M. (2008) Data Clustering for Fitting Parameters of a Markov Chain Model of Multi-Game Playoff Series, Journal of Quantitative Analysis in Sports: 4(1), Article 2. (www.bepress.com/jqas/vol4/iss1/2/ )
Rump, C.M. (2007) Capital Growth and the St. Petersburg Game, The American Statistician, 61(3), 213-217.
Akgün, V., A. Parekh, R. Batta and C.M. Rump (2007) Routing of a Hazmat Truck in the Presence of Weather Systems, Computers & Operations Research,Special Issue on Hazmat Logistics, 34(5), 1351-1373.
Sarac, A., R. Batta and C.M. Rump (2006) A Branch-and-Price Approach for Operational Oriented Aircraft Maintenance Routing, European Journal of Operational Research, Special Issue on Rich Models in Discrete Optimization - Formulation and Resolution, 175(3), 1850-1869.
Rump, C.M. (2006) Andrei Markov in the Stanley Cup Playoffs, Chance Magazine, 19(6), 37-42.
Rump, C.M. (2006) The Effects of Home-Away Sequencing on the Length of Best-of-Seven Game Playoff Series, Journal of Quantitative Analysis in Sports, 2(1), Article 5. (www.bepress.com/jqas/vol2/iss1/5)
Wang, S.-J., R. Batta, and C.M. Rump (2005) Stability of a Crime Level Equilibrium, Socio-Economic Planning Sciences, 39(3), 229-244.
Ryu, S. and C.M. Rump (2004) Application of a PID Feedback Control Algorithm for Adaptive Queue Management to Support TCP Congestion Control, Journal of Communications & Networks (JCN), 6(2), 133-147.
Ryu, S., C.M. Rump and C. Qiao (2004) Advances in Active Queue Management (AQM) Based TCP Congestion Control, Telecommunication Systems, Special Issue on Recent Advances in Communications and Internet Technologies, 25(3-4), 317-351.
Wang, Q., R. Batta, and C.M. Rump (2004) Facility Location Models for Immobile Servers with Stochastic Customer Demand, Naval Research Logistics, 51(1), 137-152.