Statistical quality control: A case study research

In this paper, statistical quality control of a production line has been presented using the classical method Shewhart, cumulative sum method (CUSUM) and Exponentially Weighted Moving Average (EWMA). The Shewhart technique can be utilized in controlling the process in which there are big changes in...

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Main Authors: Camargo, M.E., Filho, W.P., dos Santos Dullius, A.I., Maciel, J., Pinto, M.
Format: Conference Proceeding
Language:English
Subjects:
Control charts
Exponentially Weighted Moving Average
Inspection
Mathematical model
Method CUSUM
Process control
Production
Quality control
Shewhart Charts
Smoothing methods
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creator Camargo, M.E.
Filho, W.P.
dos Santos Dullius, A.I.
Maciel, J.
Pinto, M.
description In this paper, statistical quality control of a production line has been presented using the classical method Shewhart, cumulative sum method (CUSUM) and Exponentially Weighted Moving Average (EWMA). The Shewhart technique can be utilized in controlling the process in which there are big changes in mean. The cumulative sum method is more efficient in detecting small changes in the mean. The EWMA includes the two techniques, as limited cases, since when lambda = 1 the exponential smooth model is equivalent to the Shewhart technique, and when lambda = 0 equivalent to the cumulative sum technique.
doi_str_mv 10.1109/ICMIT.2008.4654458
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subjects Control charts
Exponentially Weighted Moving Average
Inspection
Mathematical model
Method CUSUM
Process control
Production
Quality control
Shewhart Charts
Smoothing methods
title Statistical quality control: A case study research
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