May 1, 2024
Updated May 9, 2025
28 minute read
Control charts are powerful graphical tools used to monitor how a process changes over time. Think of them as a visual diary of your process, plotting data points in chronological order. This allows you to see whether your process is behaving consistently or if there are unpredictable changes that need attention. If you're looking to understand and improve any process, whether in manufacturing, healthcare, or service industries, control charts offer a robust method for achieving stability and enhancing quality.
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Find a path to becoming a Control Charts. Learn more at:
OpenCourser.com/topic/c3zt5d/control
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Control Charts.
Provides a comprehensive guide to Six Sigma, a quality improvement methodology that uses statistical methods to identify and eliminate sources of variation in processes. It covers all aspects of Six Sigma, including control charts, process capability analysis, and design of experiments. The authors, T.M. Kubiak and Donald J. Wheeler, are both leading experts in Six Sigma.
Provides a comprehensive overview of statistical quality control (SQC). It covers a wide range of topics, including control charts, acceptance sampling, and process capability analysis. The authors, Eugene L. Grant and Richard S. Leavenworth, are both leading experts in SQC.
Provides a comprehensive guide to statistical process control (SPC) for the food industry. It covers a wide range of topics, including control charts, process capability analysis, and microbiological testing. The author, Frank Yiannas, leading expert in SPC for the food industry.
Provides a comprehensive guide to statistical quality control (SQC) for the pharmaceutical industry. It covers a wide range of topics, including control charts, acceptance sampling, and process validation. The authors, Robert A. Nash and Jerry W. Kirtland, are both leading experts in SQC for the pharmaceutical industry.
Provides a comprehensive overview of statistical analysis of quality control. It covers a wide range of topics, including control charts, acceptance sampling, and process capability analysis. The author, Ralph A. Bradley, leading expert in statistical analysis of quality control.
Provides a modern introduction to statistical quality control (SQC). It covers a wide range of topics, including control charts, acceptance sampling, and process capability analysis. The author, Douglas C. Montgomery, leading expert in SQC.
Provides a guide for practitioners of statistical process control (SPC). It covers a wide range of topics, including control charts, process capability analysis, and design of experiments. The author, William A. Levinson, leading expert in SPC.
Provides a guide to using Excel to create and use control charts. It covers a wide range of topics, including the different types of control charts, how to interpret them, and how to use them to identify and eliminate sources of variation. The author, Jay Arthur, leading expert in Excel and SPC.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/c3zt5d/control
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