Jennifer E. McNeill

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This paper introduces a new technique for estimating cycle time quantiles from discrete event simulation models run at a single traffic intensity. The Cornish-Fisher expansion is used as a vehicle for this approximation, and it is shown that for an M/M/1 system and a full factory simulation model, the technique provides accurate results with low variability(More)
The cycle-time distribution of manufacturing systems employing dispatching rules other than FIFO can be both highly skewed and have heavy tails. Previous cycle-time quantile estimation work has suggested that the Cornish-Fisher expansion can be used in conjunction with discrete-event simulation to provide cycle-time quantile estimates for a variety of(More)
Cycle time–throughput (CT–TH) curves allow a visual examination of the relationship between projected average cycle time and throughput. They permit one to appraise sensitivity of cycle time to start rate through curvature or steepness. This paper presents an overall framework for efficiently generating simulation-based CT–TH curves that are both accurate(More)
This paper introduces a new technique for estimating cycle time quantiles from discrete event simulation models run at a single traffic intensity. The Cornish-Fisher expansion is used as a vehicle for this approximation, and it is shown that for an M/M/1 system and a full factory simulation model, the technique provides accurate results with low variability(More)
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