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Stability Studies and Estimating Shelf Life (MFGD64A)

Presented by: Steven Wachs
 
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Pre Recorded Webinar
60 minutes
  •  Wed, December 7, 2016
Event Description
See the sneak peek before you buy!
 

Product Shelf Life: Stability Study through Various Models to Estimate Shelf Life of a Product

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.

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 modeling 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.

Session Highlights:

  • 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
  • Planning a Stability Study
  • Performance Specifications
  • Determining Shelf Life
  • Confidence Levels
  • Regression Modeling (Linear and Non-Linear)
  • Handing Non-Normal Response Data
  • Introduction to Accelerated Stability Testing

Who Should Attend

  • 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
About Our Speaker(s)

Steven Wachs | Reliability Analysis SpeakerSteven Wachs
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.... More info

 
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    Event Title: Stability Studies and Estimating Shelf Life
    Presenter(s): Steven Wachs

 
 
 
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