Monitoring infrequent failures of high-volume production processes

A. Di Bucchianico; G.D. Mooiweer; E.J.G. Moonen

doi:10.1002/qre.738

Monitoring infrequent failures of high-volume production processes

A. Di Bucchianico, G.D. Mooiweer, E.J.G. Moonen

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Abstract

We present a case study in monitoring a high-volume production process with a high yield. Testing the products is difficult and is only possible in a destructive way with a defect/no-defect result. We review several attribute charting procedures for high-yield processes. It turns out that monitoring the number of conforming items between the occurrence of non-conforming items is appropriate. We discuss several implementation aspects of CCCr charts in our case study. The implementation is based on a new formula for the standard deviation of the number of inspected items before a signal.

Original language	English
Pages (from-to)	521-528
Journal	Quality and Reliability Engineering International
Volume	21
Issue number	5
DOIs	https://doi.org/10.1002/qre.738
Publication status	Published - 2005

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10.1002/qre.738

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abstract = "We present a case study in monitoring a high-volume production process with a high yield. Testing the products is difficult and is only possible in a destructive way with a defect/no-defect result. We review several attribute charting procedures for high-yield processes. It turns out that monitoring the number of conforming items between the occurrence of non-conforming items is appropriate. We discuss several implementation aspects of CCCr charts in our case study. The implementation is based on a new formula for the standard deviation of the number of inspected items before a signal.",

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AB - We present a case study in monitoring a high-volume production process with a high yield. Testing the products is difficult and is only possible in a destructive way with a defect/no-defect result. We review several attribute charting procedures for high-yield processes. It turns out that monitoring the number of conforming items between the occurrence of non-conforming items is appropriate. We discuss several implementation aspects of CCCr charts in our case study. The implementation is based on a new formula for the standard deviation of the number of inspected items before a signal.

U2 - 10.1002/qre.738

DO - 10.1002/qre.738

M3 - Article

SN - 0748-8017

VL - 21

SP - 521

EP - 528

JO - Quality and Reliability Engineering International

JF - Quality and Reliability Engineering International

IS - 5

ER -

Monitoring infrequent failures of high-volume production processes

Abstract

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