Statistical tools for simulation practitioners
Statistical tools for simulation practitioners
The multivariate metamodel in queuing system simulation
Computers and Industrial Engineering
Experimental design issues in simulation with examples from semiconductor manufacturing
WSC '92 Proceedings of the 24th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
The application of experimental design to the analysis of semiconductor manufacturing lines
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Design of simulation experiments
WSC '84 Proceedings of the 16th conference on Winter simulation
Multivariate simulation output analysis: Past, present, and future
WSC '84 Proceedings of the 16th conference on Winter simulation
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The focus of the paper is on the comparison of results obtained using group screening versus not using group screening in an experimental design methodology applied to a semiconductor manufacturing simulation model. The experiments were performed on the cycle time for the main product in the fab, which takes about 250 steps before completion. High utilization and large queue sizes were the basis for determining the five most critical workstations in the fab. Three parameters for each workstation were set as factors for investigation plus another more general important factor making a total of 16 input factors. A 2-stage group-screening experiment and a 2k-p factional factorial were performed to identify the significant factors affecting the cycle time for the product. The results showed that the two methods could be very similar or very different depending on the choice of significance level for group screening, particularly at the early stages of eliminating group-factors.