2008
DOI: 10.1016/j.jprocont.2008.04.014
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Virtual metrology and feedback control for semiconductor manufacturing processes using recursive partial least squares

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Cited by 129 publications
(63 citation statements)
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“…Firstly, the VM models for electron density and etch rate may become invalid due to process drift over long durations [33]. When real metrology from drifting processes is available, the VM model will require refreshing to maintain model currency (as proposed in [7,34]). Secondly, separate VM models may be required for different tools in the fabrication environment due to mismatch between tool and sensor characteristics.…”
Section: Resultsmentioning
confidence: 99%
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“…Firstly, the VM models for electron density and etch rate may become invalid due to process drift over long durations [33]. When real metrology from drifting processes is available, the VM model will require refreshing to maintain model currency (as proposed in [7,34]). Secondly, separate VM models may be required for different tools in the fabrication environment due to mismatch between tool and sensor characteristics.…”
Section: Resultsmentioning
confidence: 99%
“…1. Fab-wide VM schemes that are capable of increasing factory throughput, reducing wafer scraps, cutting production costs, and paving the way to fully automated wafer-2-wafer (W2W) control have been investigated [7,6,8].…”
Section: Introductionmentioning
confidence: 99%
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“…Varios autores coinciden en que las técnicas de medición ópticas presentan un menor costo y un aumento en la calidad del producto frente a las técnicas de microscopía, las cuales son costosas, consumen mucho tiempo y no permiten la automatización del proceso [25][26][27]. Otras de las ventajas de las técnicas mencionadas consisten en la optimización de los recursos del proceso, lo que permite desplegar acciones de mantenimiento predictivo basado en mediciones en tiempo real, y con esto detectar variaciones en un proceso particular de manera oportuna [19].…”
Section: Herramientas Para El Aseguramiento Metrológicounclassified
“…Moreover, metrology data are also delay for feedback control because of wafer shipment, and measurement 5 . In order to measure in-situ process output for ensuring the quality, VM is a prediction of metrology variables based on the state of the equipment [4][5][6] . First, VM is used to predict the process quality without actually inspection [10][11][12] in order to enhance the whole product inspection as possible.…”
Section: Literature Reviewmentioning
confidence: 99%