Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
Integer and combinatorial optimization
Integer and combinatorial optimization
Performance modeling of automated manufacturing systems
Performance modeling of automated manufacturing systems
On decomposition methods for tandem queueing networks with blocking
Operations Research
Genetic algorithms in optimizing simulated systems
WSC '95 Proceedings of the 27th conference on Winter simulation
Scalable, efficient epidemiological simulation
Proceedings of the 2002 ACM symposium on Applied computing
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
Toward a Containment Strategy for Smallpox Bioterror: An Individual-Based Computational Approach
Toward a Containment Strategy for Smallpox Bioterror: An Individual-Based Computational Approach
Computers and Industrial Engineering
Analyzing dispensing plan for emergency medical supplies in the event of bioterrorism
Proceedings of the 40th Conference on Winter Simulation
Simulating distribution of emergency relief supplies for disaster response operations
Winter Simulation Conference
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We describe RealOpt©, a simulation and decision-support system for planning large-scale emergency dispensing clinics to respond to biological threats and infectious-disease outbreaks. The system allows public-health administrators to investigate clinic-design and staffing scenarios quickly. The system incorporates efficient optimization technology seamlessly interfaced with a simulation module. The simulation studies we present explore facility-layout and staffing scenarios for an actual anthrax-emergency drill, and we discuss post-event analysis. Using our staff allocation and assignments for the exercise, DeKalb County achieved the highest throughput among all counties that simultaneously conducted the same scale of anthrax drill at various locations. Its labor usage was at or below that of the other counties. The external evaluators commented that DeKalb produced the most efficient floor plan (with no path crossing), the most cost-effective dispensing (lowest labor and throughput value), and the smoothest operations (shortest average wait time, average queue length, and equalized utilization rate). The study proves that even without historical data, the use of our system enables emergency personnel to plan ahead and be able to estimate required labor resources accurately. The exercise also revealed many areas that need attention during the operations planning and design of dispensing centers. A real-time decision-support system is, therefore, viable through careful design of a stand-alone simulator, coupled with powerful and tailored optimization solvers. The system facilitates analysis of “what-if” scenarios, and serves as an invaluable tool for operational planning and dynamic, on-the-fly reconfigurations of large-scale emergency dispensing clinics. It also allows performing “virtual field exercises” on the decision-support system, offering insight into operations flow and bottlenecks when mass dispensing is required for a region with a large population. Working with emergency-response departments, we will perform additional tuning and development of the system to address different biological attacks and infectious-disease outbreaks, and to ensure its practicality and usability.