Stability Studies And Estimating Shelf Life With Regression Models
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as to estimate and reduce warranty. In addition to providing consulting services, Steve regularly conducts workshops in industrial statistical methods for companies worldwide.
Education
- M.A., Applied Statistics, University of Michigan, 2002
- M.B.A, Katz Graduate School of Business, University of Pittsburgh, 1992
- B.S., Mechanical Engineering, University of Michigan, 1986
Participants will be able to plan/conduct a stability study and then analyze the results to predict shelf life. They will also be able to explain the results from a statistical perspective. They will learn different approaches for estimating shelf life and will be in a position to select an appropriate method given the situation and constraints. Participants will learn how to appropriately model the data ensure the models are valid and describe the trend over time. Finally, the participants will be aware of several issues and guidelines that will be useful to keep in mind.
Areas Covered
- Planning a Stability Study
- Determining Performance Specifications
- Defining and Determining Shelf Life
- Confidence Levels
- Life Data Analysis Approach for Determining Shelf Life
- Life Data Analysis with Accelerated Aging
- Regression Modeling (Linear and Non-Linear) to Assess Stability/Shelf Life
- Pooling Batches for Stability Studies
- Validating Model Assumptions
- Handing Non-Normal Response Data
- Introduction to Accelerated Stability Testing
- Issues and Auidelines
Course Level - Intermediate
Who Should Attend
The target audience includes personnel involved in product/process development and manufacturing
- R&D Personnel
- Product Development Personnel
- Quality Personnel
- Lab Testing Personnel
- Operations / Production Managers
- Quality Assurance Managers, Engineers
- Process or Manufacturing Engineers or Managers
- Program or Product Managers
Why Should You Attend
The webinar will provide useful methods and techniques for conducting a stability study and analyzing the resulting data for the purpose of estimating shelf life. Participants should be able to immediately apply the methods presented. Also, the interpretation and communication of results will be stressed.
Topic Background
Manufacturers of foods, drugs, consumer goods, and other products must determine the shelf life of their products so that customers know when the product can be expected to perform as intended. Many approaches are available to quantify the "shelf life" and the method(s) chosen often depend on the testing time available.
This webinar discusses the steps to set up a stability study and analyze the results to estimate the product's shelf life. The use of regression models to model the relationship between the response variable(s) and time is presented. Models useful for describing non-linear degradation over time are also presented. Additionally, methods for handling non-normal response data are also discussed. Finally, the use of accelerating variables to shorten the study time and the models required are introduced. The webinar includes several examples to illustrate the methods discussed.
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$200.00
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