Stability Studies and Estimating Shelf Life

Duration: 75 Minutes
flat 50% off on this webinar
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 are 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.
Stability Study to Estimate Shelf Life
Instructor: Steven Wachs
Product ID: 503679
Objectives of the Presentation
  • Use of traditional reliability methods (e.g. Weibull analysis based on testing until failure) to estimate the time at which the specified percentage fail at a specified confidence level)
  • The use of regression models to extrapolate to predict shelf life for a product. When testing cannot be done until failure but extrapolation is needed
  • We talk briefly about methods that can be used when the response data is not normally distributed since standard regression models assume normality
  • Finally, some ideas on the use of accelerated testing to get results more quickly. i.e. the use of an accelerated life test model to take data from accelerated conditions and use them to predict results at normal conditions
Why Should you Attend
Join this session by expert speaker Steven Wachs to determine the steps required to set-up a stability study as well as understand the results which will estimate the shelf life of a product. The session will be using regressing models that will help in modelling the relationship shared between response variable(s) and the time. Also, other models that are useful in describing non-linear degradation over time as well as methods to handle non-normal response data will be discussed. You will finally learn how to use accelerating variables which will be used to shorten the study time and the models. The webinar also includes various examples to illustrate the models discussed, in a better and more understandable way.

You will understand various useful techniques and methods in this webinar that are used to conduct the analysis of resulting data and stability study to estimate shelf life. It is easy for you to understand and immediately apply these learning. There will be stress on interpretation and communication of result.

Areas Covered
  • Planning a Stability Study
  • Performance Specifications
  • Determining Shelf Life
  • Confidence Levels
  • Regression Modelling (Linear and Non-Linear)
  • Handing Non-Normal Response Data
  • Introduction to Accelerated Stability Testing
Who will Benefit
  • 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
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.
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Instructor Profile:
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 estimate and reduce warranty. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
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