Minimizing the dry content variation in the pulp drying process using Six Sigma methodology

DOI10.1007/s43069-021-00110-yzbMath1480.90121OpenAlexW3213754292MaRDI QIDQ2068843

K. K. Chowdhury, Boby John

Publication date: 20 January 2022

Published in: SN Operations Research Forum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s43069-021-00110-y

zbMATH Keywords

dynamic regressiondry contenteconomically weighted moving average control chartintegrated EPC-SPC methodologypulp drying process

Mathematics Subject Classification ID

Production models (90B30)

Uses Software

• ISLR

Cites Work

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• Estimating process capability indexes for autocorrelated data
• Monitoring automatically controlled processes using statistical control charts
• Integrating statistical process control, engineering process control and Taguchi's quality engineering
• An Introduction to Statistical Learning
• A Practical Guide to Scientific Data Analysis

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