Based on presentation to IEEE's 2010 Winter Simulation Conference, Baltimore, Dec. 5-8, 2010. A discrete-event simulation technique, combined with optimization tools, permits easy management of ...

Concepts from software engineering and knowledge engineering are incorporated into discrete, next-event simulation. The existing, conventional world-view utilized within discrete simulation is ...

Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for ...

Delve into the future of emergency care, where predictive modeling and simulation optimize healthcare delivery and increase efficiency.

Health-care leaders place significant focus on reducing the average length of stay (ALOS). We examined the relationships among ALOS, cost and clinical outcomes using a neonatal intensive care unit ...

Development and Usage of eContour, a Novel, Three-Dimensional, Image-Based Web Site to Facilitate Access to Contouring Guidelines at the Point of Care The development of chimeric antigen receptor (CAR ...

This concentration is intended to prepare students for modeling and simulating various problems related to supply chain management, such as procurement, manufacturing, logistics and distribution, ...

Within healthcare decision-making, cohort Markov models and decision trees are frequently used. However, in some situations, these are not the most appropriate modelling methods. This course provides ...