1998Quality and Reliability Engineering InternationalRequires access

Run-to-run control charts with contrasts

George C. Runger, John Fowler

Open publisher page 9 citations

Abstract

In semiconductor manufacturing it is useful to design control charts to be sensitive to anticipated assignable causes. Process knowledge can be used to develop summaries for run-to-run control that are more sensitive to problems than traditional approaches. As the number of measurements recorded from a run increases, appropriate summaries derived from process knowledge become more important. Control charts based on linear contrasts are generated from partitions of a standard analysis of variance model. These contrasts simplify the development and interpretation of charts sensitized for specific assignable causes. The use of EWMA control charts for these statistics is described. © 1998 John Wiley & Sons, Ltd.

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In semiconductor manufacturing it is useful to design control charts to be sensitive to anticipated assignable causes. Process knowledge can be used to develop summaries for run-to-run control that are more sensitive to problems than traditional approaches. As the number of measurements recorded from a run increases, appropriate summaries derived from process knowledge become more important. Control charts based on linear contrasts are generated from partitions of a standard analysis of variance model. These contrasts simplify the development and interpretation of charts sensitized for specific assignable causes. The use of EWMA control charts for these statistics is described. © 1998 John Wiley & Sons, Ltd.

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Available abstract

In semiconductor manufacturing it is useful to design control charts to be sensitive to anticipated assignable causes. Process knowledge can be used to develop summaries for run-to-run control that are more sensitive to problems than traditional approaches. As the number of measurements recorded from a run increases, appropriate summaries derived from process knowledge become more important. Control charts based on linear contrasts are generated from partitions of a standard analysis of variance model. These contrasts simplify the development and interpretation of charts sensitized for specific assignable causes. The use of EWMA control charts for these statistics is described. © 1998 John Wiley & Sons, Ltd.

Key concepts: Control chart, EWMA chart, Statistical process control, Shewhart individuals control chart, Computer science, Variance (accounting), Control (management), Process (computing)

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