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Everything about Statistical process control

Method of quality control

Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where the "conforming product" output can be measured. Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Statistical process controlA 5-minute orientation
  2. Skim a recent paper: An integrated Maintenance and Statistical Process Control Model for a Deteriorating Production ProcessInfluential work since 2022
  3. Pick up a classic book: Statistical Process ControlThe most-reprinted book on the subject
  4. Read the landmark paper: Integrating Statistical Process Control and Engineering Process ControlCited 149 times
  5. Go sideways: Walter A. ShewhartA closely related topic
  6. Go sideways: Control chartA closely related topic

đź“– Definitions

Noun A method of monitoring a process through the use of control charts.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics