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Speaker: Steven Wachs
Speaker Designation: Vice President & Principal Statistician, Integral Concepts, Inc.
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.
In this webinar expert speaker Steven Wachs, will clearly explain 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.
Companies must ensure that the advertised shelf life on their products is accurate and supported by data. Failure to do so may result in fraudulent claims, customer dissatisfaction, or even safety concerns. Many industries must comply with government or industry guidelines for determining shelf life.
This webinar provides an overview of statistical methods that are appropriate for shelf-life determination. Both regression modeling of stability data and life data analysis are presented as valid methods for quantifying shelf life at a specified level of confidence.
Examples are included with illustrations to clarify what are typically confusing points. Also, the interpretation and communication of results will be stressed.
This program will cover the following topics:
This webinar will provide valuable insights to:
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He 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.
Mr. Wachs 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. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.
