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B51-14 (R2019) – Boiler, pressure vessel, and pressure piping code

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ISO 7870:2024

ISO 7870:2024 Control charts – Part 6: EWMA control charts for the process mean

CDN $259.00

SKU: ecfb0e1c9dc2 Category:

Description

This document covers EWMA control charts, originally proposed by Roberts (1959)[16], as a statistical process control technique to detect small shifts in the process mean. It makes possible the faster detection of small to moderate shifts in the process mean. In this chart, the process mean is evaluated in terms of exponentially weighted moving average of all previous observations or averages.

The EWMA control chart’s application is worthwhile in particular when

–¬†¬†¬†¬† production rate is slow,

–¬†¬†¬†¬† a minor or moderate shift in the process mean is vital to be detected,

–¬†¬†¬†¬† sampling and inspection procedure is complex and time consuming,

–¬†¬†¬†¬† testing is expensive, and

–¬†¬†¬†¬† it involves safety risks.

NOTE            EWMA control charts are applicable for both variables and attributes data. The given examples illustrate both types (see 5.5, Annex A, Annex B and Annex C).

Edition

2

Published Date

2024-07-17

Status

PUBLISHED

Pages

24

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document covers EWMA control charts, originally proposed by Roberts (1959)[16], as a statistical process control technique to detect small shifts in the process mean. It makes possible the faster detection of small to moderate shifts in the process mean. In this chart, the process mean is evaluated in terms of exponentially weighted moving average of all previous observations or averages.

The EWMA control chart’s application is worthwhile in particular when

-     production rate is slow,

-     a minor or moderate shift in the process mean is vital to be detected,

-     sampling and inspection procedure is complex and time consuming,

-     testing is expensive, and

-     it involves safety risks.

NOTE            EWMA control charts are applicable for both variables and attributes data. The given examples illustrate both types (see 5.5, Annex A, Annex B and Annex C).

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