Journal of the American Statistical Association · 1998 · 18 citations · 20 references
EngineeringMaterials EngineeringMaterials ScienceManufacturing ProcessesSemiconductor DevicesSpatial ModelingChemical Vapor DepositionDevice ModelingDevice SimulationProcess SimulationSpatial Covariance ModelingSpatial Statistical ModelingDeposition ModelingFabrication Process SimulationHomogeneity CriterionNonstationary Spatial ProcessesSpatial Correlation StructureSpatial StructureVariance ModelsVariances
Abstract Material is deposited onto the wafer surface during several steps of wafer fabrication. This material must be deposited evenly across the entire wafer surface, close to the targeted thickness, and with little wafer-to-wafer variability. But unequal variances across the wafer and under different process conditions, as well as nonstationary correlation across a wafer, make these goals difficult to achieve, because traditional methods for optimizing deposition processes assume homogeneity and independence. We avoid these assumptions and determine the best settings of process variables using physically motivated statistical models for the mean response, unequal variances, and nonstationary spatial correlation structure. Data from a rapid thermal chemical vapor deposition process is used to illustrate the approach. A simulation exercise demonstrates the advantages of fitting flexible variance models and using appropriate performance measures.
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Noel Cressie · Terra Nova · 1992 · 8.9K citations
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Marie Davidian, Raymond J. Carroll · Journal of the American Statistical Association · 1987 · 637 citations
Taguchi's Parameter Design: A Panel Discussion
Vijayan N. Nair, Bovas Abraham, Jock MacKay et al. · Technometrics · 1992 · 526 citations
Engineering, Manufacturing Engineering, Quality Management +17
Taguchi's Parameter Design: A Panel Discussion
Vijayan N. Nair, Bovas Abraham, Jock MacKay et al. · Technometrics · 1992 · 445 citations
Engineering, Manufacturing Engineering, Quality Management +17