Estimating and Demonstrating Product Reliability: Achieving Optimal Performance
Speaker: Steven Wachs
Speaker Designation: Vice President & Principal Statistician, Integral Concepts, Inc.
![](https://corpcourses.com/storage/product/20230327011148PRODUCT.png)
Speaker: Steven Wachs
Speaker Designation: Vice President & Principal Statistician, Integral Concepts, Inc.
Product Reliability requirements must be satisfied like all other performance requirements prior to product launch. However, since reliability is a function of time, the methods for verifying that reliability performance has been verified differ from most other performance characteristics. This webinar will present several approaches for verifying that reliability targets or specifications have been achieved at the desired level of confidence. Specifically, approaches using time-to-failure data to estimate reliability metrics as well as demonstration tests, where minimum reliability may be demonstrated with zero or few failures are discussed.
This webinar provides methods that allow the risks of field failures due to inadequate designs or misunderstanding of product use conditions to be managed. Also, the webinar provides options to verify and demonstrate that customer reliability requirements have been achieved.
By attending the webinar, you will:
The webinar will enable participants to assist product development teams in ensuring product reliability requirements are met.
This webinar will cover the following topics:
The target audience includes personnel involved in product/process development and manufacturing -
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.