This paper investigates the reduction of variance associated with a simulation output performance measure, using the Sequential Sampling method while applying minimum simulation replications, for a class of JIT (Just in Time) warehousing system called crossdocking. We initially used the Sequential Sampling method to attain a desired 95% confidence interval half width of ± 0.5 for our chosen per...

This paper investigates the reduction of variance associated with a simulation output performance measure, using the Sequential Sampling method while applying minimum simulation replications, for a class of JIT (Just in Time) warehousing system called crossdocking. We initially used the Sequential Sampling method to attain a desired 95% confidence interval half width of ± 0.5 for our chosen per...

Although simulation is a well-established learning method in Finland, sequential simulations are still uncommon. The objective of this project was to pilot interprofessional, demonstrating acute clinical pathways. objectives were communication and collaboration. Two groups consisting nursing emergency care students planned the exercises. Other participants medical students, biomedical science r...

 Abstract— This paper studies the semi-analytic solution (SAS) of a power system’s differential-algebraic equation. A SAS is a closed-form function of symbolic variables including time, the initial state and the parameters on system operating conditions, and hence able to directly give trajectories on system state variables, which are accurate for at least a certain time window. A two-stage SA...

The sequential fully implicit (SFI) scheme was introduced (Jenny et al. 2006) for solving coupled flow and transport problems. Each time step SFI consists of an outer loop, in which there are inner Newton loops to implicitly sequentially solve the pressure sub-problems. In standard SFI, sub-problems usually solved with tight tolerances at every iteration. This can result wasted computations tha...