Statistical Process Control in Pharmaceutical Quality Assurance

Statistical Process Control in Pharmaceutical Quality Assurance 

1.Control Charts: X-bar, R-chart, S-chart, and p-chart keep process variation in check.
2. Pareto Analysis: Pinpoint significant quality influencers for targeted improvements.
3. Histograms: Illuminate data distribution aiding in process stability assessments.
4. Scatter Diagrams: Visualize variable relationships to enhance quality mechanisms.
5. Cause-and-Effect Diagrams: Uncover quality issue roots with Fishbone Diagrams.
6. Process Capability Analysis: Evaluate if processes meet quality benchmarks.
7. Regression Analysis: Probe variable relationships crucial for quality optimization.
8. FMEA: Prevent quality issues by identifying potential failure modes.
9. ANOVA: Compare means across groups to ensure quality consistency.
10. Trend Analysis: Proactively manage quality by spotting data patterns.
11. Control Plan: Outline steps to uphold quality standards throughout production.