Engineering Case Studies: Analyzing the Quality of Steel and Glass Products via Statistical Process Control Charts
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Authors
Duman, Gazi Murat
Issue Date
2015-03-27
Type
Presentation
Language
en_US
Keywords
Statistical process control (SPC) , Manufacturing
Alternative Title
Abstract
Statistical Process Control (SPC) is the collection of various problem detection and solving techniques which can be applied to any process. Statistical process control is a crucial technique in quality improvement. The major objective of SPC is to detect the root cause and frequency of issues in the processes so that corrective actions may be taken before non-conforming (defective) units are generated. The ultimate goal of SPC is to eliminate the variability in the process. The basic seven tools of SPC, i.e., Magnificent Seven are listed below: 1. Process Flowchart 2. Check Sheets / Tally Charts 3. Cause and Effect Diagram (Ishikawa) 4. Scatter Diagram 5. Histogram and Graphs 6. Pareto Chart 7. Control Charts