This one day in-house course is intended to create an awareness of the power and potential applications of multivariate latent variable methods in the chemical, petro-chemical, pharmaceutical, manufacturing, and other industries. It is aimed at scientists, engineers and technical managers. The course focuses on basic concepts and industrial applications that highlight where and how these methods have been used successfully in industry.
Objective
The one-day in-house awareness course explores the surface of the methods that are covered more fully in the three-day, and advanced courses offered by ProSensus. This course will make participants more aware of what multivariate methods can do, and will foster ideas on where the methods can be best used to generate value.
Course outline
A typical course outline is provided below. The course is run over a half-day up to a full day, depending on your company's requirements. The outline given here is for a full-day course.
| Objectives |
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| Nature of data we collect today | |
| Concept of latent variables (PCA/PLS) |
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| Why the need for latent variable methods? |
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| Basic principles of multivariate data analysis (MVDA) | |
| What can MVDA achieve? | |
| Areas where MVDA should be applied | |
| Conceptual Overview of the main multivariate methods |
|
| Principal Component Analysis (PCA) |
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| Projection to Latent Structures (PLS) |
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| Multivariate Specifications (Design Spaces) for raw materials |
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| Importance of multivariate specifications | |
| Pharmaceutical example |
|
| Process monitoring (SPC) |
|
| Basic concepts |
|
| Why multivariate? | |
| Industrial example |
|
| Analysis of manufacturing data |
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| Using data to better understand and improve processes |
|
| Industrial examples | |
| Control of batch processes |
|
| Concepts of active control (feed-forward, feed-back) | |
| Industrial examples of final product quality control in a batch process | |
| Product design |
|
| Finding operating conditions to achieve a desired product. | |
| Industrial example | |
| Product scale-up and product transfer between sites |
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| Rapid Development of new products | |
| Concepts and indutstrial example | |
| Important issues | |
| Optimal selection of raw materials, formulations, process conditions | |
| Industrial example | |
| Multivariate design of experiments |
|
| Concept of DOE's in the latent variable space | |
| Applications to product development |
