Bayesian networks for statistical process control with attribute data

• Published in: The International journal of quality & reliability management Vol. 36; no. 2; pp. 232 - 256
• Main Authors: Cobb, Barry, Li, Linda
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 21.02.2019; Emerald Group Publishing Limited
• Subjects: Adaptive control; Bayesian analysis; Binomial distribution; Change detection; Continuity (mathematics); Control charts; Defects; Design; Diagnostic systems; Literature reviews; Mathematical models; Methods; Parameters; Probability; Process controls; Qualitative analysis; Quality control; Quality management; Random variables; Sample size; Statistical analysis; Statistical inference; Statistical process control; Statistical process control; Control chart; Variable sampling interval; Bayesian network; Variable sample size

Purpose Bayesian networks (BNs) are implemented for monitoring a process via statistical process control (SPC) where attribute data are available on output from the system. The paper aims to discuss this issue. Design/methodology/approach The BN provides a graphical and numerical tool to help a mana...