control variates to estimate the mean response in a designed simulation experiment. In Combined Method I, we perform h … independent pairs of simulation runs as follows---on the second run of each such pair, we use random number streams that are … simulation model; and we use independent random number streams to drive the control-variate components of the simulation model …

Many simulation experiments are concerned with the estimation of a ratio of two unknown means, the estimation of a …

improvements, all arising from part family-oriented processing. These insights are verified through a simulation comparison of five …

for a simulation estimator of the steady-state mean of a stochastic process. The procedures are based on the method of …

In this paper we investigate importance sampling techniques for the simulation of Markovian systems with highly … reliable components. The need for simulation arises because the state space of such systems is typically huge, making numerical … computation inefficient. Naive simulation is inefficient due to the rarity of the system failure events. Failure biasing is a …

continued to increase. For some facilities, this need is critical due to product obsolescence and quality. Simulation modelling …

levels have been modelled and tested via dynamic simulation. To create an environment in which supply chain re … eeded to enhance total system dynamic performance. The likely benefits are estimated via dynamic simulation of the various …

expedites where required, and provides an interactive interface to the decision maker. A SLAM II‐based computer simulation model …