This paper discusses a discrete event simulation model developed to identify and understand the impact of different failures on the overall production capabilities in a chemical p...
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
Many inference methods of queueing systems have been developed on the basis of Larson's QIE(queue inference engine) with the assumption of homogeneous Poisson arrivals. It in...
Staffing and scheduling optimization in large multiskill call centers is time-consuming, mainly because it requires lengthy simulations to evaluate performance measures and their ...
Simulation study of complex production facilities can be a challenging task for manufacturing engineers as it requires skills to build the models and to conduct experiments. Accur...
The Post-Anesthesia Care Unit (PACU) is a shared resource in the hospital where patients recover from surgery. It is fed by a set of Operating Rooms (OR's) often spanning sev...
Event based simulations are an important scientific application in many fields. With the rise of cluster computing, distributed event simulation optimization becomes an essential ...
In this paper we present the use of "what-if"-analysis in simulation games for spatial decision making by introducing the concept of multiple worlds. We expect that &quo...
Pharmaceutical expenditures are increasing for hospital systems nationwide. We model the inventory and ordering policies for perishable drugs in the setting of an inpatient hospit...
Ana R. Vila-Parrish, Julie Simmons Ivy, Russell E....