Background: Faculty and staff from the University of Louisville (UL) Department of Environmental Health and Safety and the
Setting: Louisville metro area of approximately 750,000.
Population: High risk adults and children.
Project Description: Using experiences from smaller scale drive-thru events, researchers from the UL Speed School of Engineering, Logistics and Distribution Institute tested performance indicators using a modeling approach. Performance indicators included anticipated number of vehicles during each hour of the 12-hour event, the numbers of adults and children seeking immunization, time needed to immunize each individual, inter-arrival time, time spent leaving the event property, and impact on area traffic. The model was demonstrated using a simulation process that allowed planners to visualize specific aspects of the drive-thru so bottlenecks and other obstacles could be identified and addressed.
Results/Lessons Learned: During the two days event, a total of 19,079 vaccines were administered with 12,613 (66.1%) being administered via a ten lane drive-thru. Modeling and simulation were used to refine the drive-thru process so adjustments were made prior to and during implementation. The crucial benefits of modeling and simulation involved the visual representation of the process used to gain support from leadership and as part of event planning.