Trevor Hale

Clinical Professor of Business Analytics
Office of Naval Research Senior Faculty Fellow

Biography

Trevor Hale is a clinical full professor of business analytics at the Mays Business School at Texas A&M University. He received a Ph.D. in operations research from the 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 University. 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 toddler in the picture below and the late Dr. Leslie C. Hale, Jr., was the A. Robert Noll Professor of Electrical Engineering at Penn State while his father’s father, wearing the three-piece suit in the picture below, was a professor of economics at then Texas College of Mines, now UTEP.

Four generations of Hales in El Paso

Figure 1. From left to right: Leslie C. Hale, Mary Jane Hale, Leslie C. Hale, Jr., and Jesse W. Hale

His research interests are in the areas of location science, warehouse science, data analytics, and grid-scale energy management. Dr. Hale spends about a third 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.

 

Research Interests

Location science, warehouse science, data analytics, and grid-scale energy management

Research

Title Year Type

Quantitative Analysis for Management, 13e

Pearson, Inc.

2018 Book

A continuous approximation procedure for determining inventory distribution schemas within supply chains: gradual and intermittent shipping patterns

International Journal of Operational Research

2020 Article

The Expected Length of an Orderly Path

Annals of Operations Research

2020 Article

Closed Form Models for Dwell Point Locations with Turnover Based Storage Assignment Policy

International Journal of Industrial and Systems Engineering

2018 Article

Some More Average Distance Results

International Journal of Mathematics in Operational Research

2017 Article

Closed Form Models for Dwell Point Locations in a Multi-aisle Automated Storage and Retrieval System

International Journal of Industrial and Systems Engineering

2015 Article

On the Expected Distance of a Random Walk

International Journal of Mathematics in Operational Research

2015 Article

A Methodology for Estimating Expected Distances Between Nodes on a Network

Journal of the Operational Research Society

2013 Article

An Improved Facility Layout Construction Method

International Journal of Production Research

2012 Article