Trevor Hale is a clinical full professor of operations management at the Mays Business School at Texas A&M University. He received a Ph.D. in operations research from the Look College of Engineering at Texas A&M University, a M.S. in engineering management from Northeastern University, and a B.S. in industrial and management systems engineering from Penn State. Previously, he was a faculty member at University of Houston-Downtown, Ohio University, and Colorado State University-Pueblo.

Dr. Hale is a third generation professor and a fifth generation Texan. His father, the late Dr. Leslie C. Hale, Jr., was an A. Robert Noll Professor of Electrical Engineering at Penn State while his father's father was a professor of business at then Texas Western, now UTEP.

His research interests are in the areas of location science, warehouse science, and grid-scale energy management. Dr. Hale spends most of his summers as an Office of Naval Research Senior Faculty Fellow at Naval Base Ventura County in Port Hueneme, California. He is the managing co-author of Pearson's number one textbook in business analytics, Quantitative Analysis for Management, now in its 13th edition. His research has been published in the Annals of Operations Research, the European Journal of Operational Research, the International Journal of Physical Distribution & Logistics Management, and the International Journal of Production Research among other outlets. He is a senior member of both INFORMS and DSI.

education and training
selected publications
Academic Articles26
  • Blessley, M., Davila, R., Hale, T., & Pepper, R. (2023). The contagion number: How fast can a disease spread?. Decision Making Applications in Management and Engineering. 6(1), 219-239.
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  • Hale, T. S., & Palocsay, S. W. (2022). Improvement of Learning Outcomes in Data Analytics and Statistics. DECISION SCIENCES-JOURNAL OF INNOVATIVE EDUCATION. 20(4), 174-175.
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  • Pepper, R., Welker, C., Hale, T., & Huq, F. (2021). Technical note: A closed form solution to the k-centra location problem. International Journal of Operational Research. 1(1), 1-1.
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  • Lutz, H. S., Hale, T. S., & Huq, F. (2020). Technical note: the expected length of an orderly path. ANNALS OF OPERATIONS RESEARCH. 289(2), 463-472.
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  • Pujari, N. A., Huq, F., & Hale, T. S. (2020). A continuous approximation procedure for determining inventory distribution schemas within supply chains: gradual and intermittent shipping patterns. International Journal of Operational Research. 37(1), 48-48.
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  • Render, B., Stair Jr., R. M., Hanna, M. E., & Hale, T. S. (2018). Quantitative Analysis for Management. Pearson.
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  • Render, B., Stair, Jr, R. M., Hanna, M. E., & Hale, T. (2014). Quantitative Analysis for Management,12th Edition. Pearson.
Conference Papers3
  • Huq, F., Hale, T. S., Lutz, H. S., & Pujari, N. A. (2018). Closed form models for dwell point locations with turnover-based storage assignment policy. International Journal of Industrial and Systems Engineering. 29(1), 62-62.
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  • Parthasarathy, M., & Hale, T. S. (2004). On the 3-dimensional Weber problem with Tchebychev distances. IIE Annual Conference and Exhibition 2004. 1327.
  • Hale, T. S., & Smith, D. R. (1997). Expected distance between two random points and the shortest path problem. Industrial Engineering Research - Conference Proceedings. 519-524.
First Name
Last Name
mailing address
MS 4217, Texas A&M University
College Station, Texas 77843