Environmental statistical process control using an augmented neural network classification approach

DOI10.1016/j.ejor.2005.04.035zbMath1103.90330OpenAlexW1999482479MaRDI QIDQ2503233

Christopher W. Zobel, Deborah F. Cook, Mary Leigh Wolfe

Publication date: 14 September 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.04.035

zbMATH Keywords

correlationneural networksstatistical process controlenvironmental quality

Mathematics Subject Classification ID

Production models (90B30) Neural networks for/in biological studies, artificial life and related topics (92B20) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

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Uses Software

• Predict

Cites Work

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• Evaluating environmental performance using statistical process control techniques
• Research challenges in environmental management
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• Control Charts in the Presence of Data Correlation
• Run-Length Distributions of Special-Cause Control Charts for Correlated Processes
• EVVMA and cusum control charts in the presence of correlation
• An integrated neural network approach for simultaneous monitoring of process mean and variance shifts a comparative study

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