7. Applications of Process Improvement using Data

Over the years since 2010 when this online book has been available, there has been the request of case studies and examples showing how the tools can be implemented. The focus of this chapter is not just the direct implementation of the equations and tools, but a discussion about the thought process, the details and issues that came up during the cases.

• 7.1. Improved process understanding
• 7.2. Troubleshooting process problems
• 7.3. Multivariate process monitoring case studies
• 7.4. Soft sensors and inferential sensors
• 7.5. Keeping a model current: an adaptive soft sensor
• 7.6. Multivariate image analysis
• 7.7. Batch process monitoring and improvement
• 7.8. Learning from batch trajectories: the DuPont polymerization reactor
• 7.9. Diagnosing a known fault with batch PLS: the SBR reactor
• 7.10. Combining initial conditions and trajectories: multiblock batch PLS on a batch dryer
• 7.11. Product development and product improvement
• 7.12. A mixed-level split-plot design with a profile response