Overview
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 design 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. The use of accelerating variables to shorten the study time and the models required are presented. The webinar includes several examples and case studies to illustrate the methods discussed.
Webinar Takeaway
This program will cover the following topics:
- 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 Will Benefit
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
Faculty Steven Wachs
Statistician Specializing in Product Reliability and Quality
Dexter, Michigan, United States
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.
