Jon Stauffer

Assistant Professor
Department of Information and Operations Management
Faculty Fellow of the Center for Health Systems & Design


Dr. Stauffer has spent over two decades researching and working in the fields of engineering and business operations. His research focuses on the development of tailored solutions for service industries that experience high uncertainty in timing and magnitude of supply and demand. More specifically, his research optimizes the allocation of resources within the healthcare and humanitarian industries. His research has been published in Production and Operations Management, the Journal of Operations Management, and other top journals.

Professor Stauffer has presented his research at the Institute for Operations Research and the Management Sciences (INFORMS) and the Production and Operations Management Society (POMS) annual conferences and other industry-specific conferences. He is also a member of the Manufacturing and Service Operations Management Society (MSOM) and the Decision Sciences Institute (DSI). Dr. Stauffer is on the Editorial Review Board at Production and Operations Management and Decision Sciences Journal. In addition, he reviews for other premier journals including Operations Research, Manufacturing and Service Operations Management, Journal of Operations Management, and many others. In fall of 2017, Dr. Stauffer received an appointment as a Faculty Fellow of the Center for Health Systems & Design (CHSD).

Dr. Stauffer has received recognition of his outstanding teaching and research at both the Mays Business School, Texas A&M University and the Kelley School of Business, Indiana University. Most recently in fall 2020, Professor Stauffer received Texas A&M University’s distinguished Montague Award for Teaching Excellence from the Center For Teaching Excellence.

Before his academic career, Professor Stauffer was the Director of Strategy & Business Development at Control-Tec LLC, a start-up firm providing telematics and analytics solutions to transportation industries. He was also a manager in the Strategy & Operations practice of Deloitte Consulting LLC, where he led many teams in the implementation of lean manufacturing, supplier sourcing, warehouse management, and material flow methodologies. Prior to consulting, Professor Stauffer was a calibration engineer at DaimlerChrysler AG where he developed new diagnostic algorithms to reduce vehicle emissions and improve vehicle performance.

His recent manuscripts include:

  • Stauffer, Jon M., Manoj Vanajakumari, Subodha Kumar, Theresa Mangapora. (2022). Achieving Equitable Food Security: How Can Food Bank Mobile Pantries Fill this Humanitarian Need, Production and Operations Management, 31(4), 1802-1821.
  • Cho, David D., Jon M. Stauffer. (2022). Tele-Medicine Question Response Service: Analysis of Benefits and Costs, Omega, 111, 102664.
  • Stauffer, Jon M., Aly Megahed, Chelliah Sriskandarajah. (2021). Elasticity Management for Capacity Planning in Software-as-a-Service Cloud Computing, IISE-Transactions, 53(4), 407-424.
  • Stauffer, Jon M., Subodha Kumar. (2021). Impact of Incorporating Returns into Pre-Disaster Deployments for Rapid-Onset Predictable Disasters, Production and Operations Management, 30(2), 451-474.
  • Stauffer, Jon M., Alfonso J. Pedraza-Martinez, Lu(Lucy) Yan, Luk N. Van Wassenhove. (2018). Asset Supply Networks in Humanitarian Operations: A Combined Empirical-Simulation Approach. Journal of Operations Management, 63, 44-58.
  • Helm, Jonathan E., Adel Alaeddini, Jon M. Stauffer, Kurt M. Bretthauer, Ted Skolarus. (2016). Reducing Hospital Readmissions by Integrating Empirical Prediction with Resource Optimization, Production and Operations Management, 25(2), 233-257.
  • Stauffer, Jon M., Alfonso J. Pedraza-Martinez, Luk N. Van Wassenhove. (2016). Temporary Hubs for the Global Vehicle Supply Chain in Humanitarian Operations. Production and Operations Management, 25(2), 192-209.



Title Year Type

Asset supply networks in humanitarian operations: A combined empirical-simulation approach

Journal of Operations Management

2018 Article