FLORENCE – Francis Marion University Associate Professor of Management Hubert H. Setzler III’s article titled, “EMS Call Volume Predictions: A Comparative Study,” has been accepted for publication in the international journal, Computer & Operations Research.
In the paper, Setzler gives figures on how the demand for ambulances fluctuates throughout the week, depending on the day of week and, even more so, the time of day. An artificial neural network (ANN) designed to forecast demand volume of specific areas during different times of the day is compared to current industry practice for accuracy of prediction. The study, which was written with corresponding authors, University of North Carolina at Charlotte Professor Cem Saydam and Sungjune Park, shows that both methods produce accurate forecasts for certain levels of time and space granularity. Results also suggest that the high level of space and time details in forecasts desired by EMS managers may be difficult to obtain regardless of which method is used.
Setzler earned a B.A. degree in English and business from Newberry College, and the M.B.A. and the Ph.D. degrees in information technology from the University of North Carolina.