Ensuring Consistent Quality: Effective Methods for Assessing Process Capability for Normal and Non-Normal Data
Speaker: Steven Wachs
Speaker Designation: Vice President & Principal Statistician, Integral Concepts, Inc.
Speaker: Steven Wachs
Speaker Designation: Vice President & Principal Statistician, Integral Concepts, Inc.
To ensure consistent production of products and services that meet customer specifications, companies must ensure their processes are capable.
This webinar covers techniques for estimating process capability for both normal and non-normal data. The session first discusses pre-requisites for estimating process capability, such as establishing process stability. It then briefly describes distributions and presents methods for estimating ppm levels. The webinar also delves into the use and limitations of common process capability indices like Cpk and Ppk.
Inaccurate estimation of capability due to inappropriate methods for non-normal data can lead to over-optimistic results, making it crucial to use suitable techniques. The webinar discusses methods for testing normality and presents transformations and distribution fitting as effective approaches for assessing non-normal data. It also includes several examples to explain the methods in detail.
A considerable misunderstanding exists regarding methods for assessing process stability and capability. As a result, many companies incur excessive risks of customer dissatisfaction, warranty, recalls, and litigation. This webinar covers proper methods (and prerequisites) for estimating process capability. Additionally, the shortcomings of popular process capability indices are exposed. Following the webinar, participants will be able to quickly adopt the methods presented to improve their quality management system and the use of supporting statistical methods.
The webinar will provide methods for assessing and understanding Process Capability. Participants should be able to immediately apply the methods presented in order to:
• Understand pre-requisites for assessing process capability
• Apply methods for estimating capability for both normal and non-normal data
• Test data for normality
• Understand and interpret process capability indices
• Learn what capability indices fail to convey about a process
• Utilize a roadmap for Assessing Process Stability and Capability
Overall, attending the training on Process Capability Assessment for Normal and Non-Normal Data can provide attendees with valuable knowledge and skills to improve process performance and stay competitive in their field.
This webinar will be beneficial for:
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.
