On Statistical Design of the Cumulative Quantity Control Chart for Monitoring High Yield Processes

DOI10.1080/03610920903391329zbMath1216.62192OpenAlexW2070895447MaRDI QIDQ3015904

Pei-Wen Chen, Chuen-Sheng Cheng

Publication date: 13 July 2011

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903391329

zbMATH Keywords

runs rulesARL-unbiasedCQC charthigh yield process

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items

The Steady-State Performance of Cumulative Count of a Conforming Control Chart Based On Runs Rules, Monitoring exponential data using two-sided control charts with runs rules

Cites Work

• CUSUM Chart with Transformed Exponential Data
• EWMA control charts for monitoring high-yield processes based on non-transformed observations
• Cumulative quantity control charts for monitoring production processes