Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Control variates for stochastic network simulation
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Resource graphs for modeling large-scale, highly congested systems
Proceedings of the 33nd conference on Winter simulation
External control variance reduction for nonstationary simulation
WSC '83 Proceedings of the 15th conference on Winter simulation - Volume 1
Approximation-assisted point estimation
Operations Research Letters
WSC '04 Proceedings of the 36th conference on Winter simulation
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Simulation-based wafer fabrication optimization models require extensive computational time to obtain accurate estimates of output parameters. This research seeks to develop goal-driven optimization methodologies for a variety of semiconductor manufacturing problems using appropriate combinations of "resource-driven" (R-D), "job-driven" (J-D), and Mixed (combination of R-D and J-D) models to reduce simulation run times. The initial phase of this research investigates two issues: a) the use of the R-D simulation control variates for the J-D simulation and b) development of metrics that calibrate the output from the R-D and J-D modeling paradigms. The use of the R-D model as a control variate is proposed to reduce the variance of J-D model output. Second, in order to use the R-D model output to predict the J-D model output, calibration metrics for the R-D and J-D modeling approaches were developed. Initial developments were tested using an M/M/1 queuing system and an M/D/1 queuing system.