James R. Broyles

James R. Broyles, Ph.D., is an operations researcher at the RAND Corporation with interests in military logistics, military personnel, personnel capacity planning, healthcare delivery, stochastic processes, computer simulation, and applied statistics.  Broyles leads research on improving repair part logistics for all military services with several efforts to improve support for the Army.  He also leads research on using data analysis and machine learning to improve Army logistical support for equipment readiness. Broyles and his teams have implemented numerous metrics and algorithms that monitor the health of Army logistics using real-time data in Army analytic platforms.  His past research includes topics such as transforming the distribution system for Army soldier clothing and equipment, improving demand forecasting for retail repair parts, restructuring the Army background screening process for positions of significant trust and authority, simulating hypothetical wholesale procurement strategies to improve readiness, and improving resourcing strategies for Air Force airmen. Broyles’ healthcare research includes identifying disparities between forecasted demands and service capacity in the Veterans Health Administration, researching policies for alternative hospital seismic retrofit requirements, community planning for regional disasters, and evaluating and improving hospital healthcare delivery. Broyles received his Ph.D. in Industrial Engineering with an emphasis in stochastic operations research and statistics from Arizona State University.