Abstract
The importance of Statistical Process Control (SPC), also called Statistical Process Monitoring (SPM) techniques, for quality improvement is well-recognized in industry. With advances in sensing and data collection technology, large volumes of data are being routinely collected under Engineering Process Control (EPC) or Automatic Process Control (APC). There is a great need for SPC for variation reduction and quality improvement in these environments. This research studies the statistical properties of monitoring the process output and the control action of EPC controlled processes. Several statistical monitoring strategies are introduced and their advantages and disadvantages are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | International Journal of Reliability, Quality and Safety Engineering |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2001 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Engineering Process Control
- Multivariate control charts
- Statistical Process Control
- Time series
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