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, where he 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.
Planning a Stability Study
Determining Performance Specifications
Defining & Determining Shelf Life
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 & Guidelines
Why You Should Attend:
This webinar discusses the steps to set-up a stability study and analyzes 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.
Who Should Attend:
Product Development Personnel
Lab Testing Personnel
Quality Assurance Managers, Engineers
Processor Manufacturing Engineers or Managers
Program or Product Managers
*You may ask your Question directly to our expert during the Q&A session.
** You can buy On-Demand and view it as per your convenience.
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.
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.