This webinar discusses methods for estimating process capability for both normal and non-normal data. Methods include estimating the proportion of defective products that may be produced as well as the calculation and use of common process capability indices (e.g. Cpk and Ppk). Process Capability assessments are discussed in the overall context of quality improvement/management.
Companies must assure that their processes are capable of producing products and services that consistently meet customer specifications.
This webinar discusses methods for estimating process capability for both normal and non-normal data. Pre-requisites for estimating process capability (e.g. establishing process stability) are discussed first. Distributions are briefly described and methods for estimating ppm levels are presented. The use and limitations of common process capability indices (e.g. Cpk and Ppk) are discussed.
It is vital that appropriate methods are used for estimating capability when the data is not well described by a normal distribution. Failure to do so often results in overly optimistic process capability estimates. Methods for testing for normality are discussed. Both transformations and distribution fitting are presented as methods to assess capability for non-normal data. The webinar includes several examples to illustrate the methods.
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.
Companies must assure that their processes are capable of producing products and services that consistently meet customer specifications.
This webinar discusses methods for estimating process capability for both normal and non-normal data. Pre-requisites for estimating process capability (e.g. establishing process stability) are discussed first. Distributions are briefly described and methods for estimating ppm levels are presented. The use and limitations of common process capability indices (e.g. Cpk and Ppk) are discussed.
It is vital that appropriate methods are used for estimating capability when the data is not well described by a normal distribution. Failure to do so often results in overly optimistic process capability estimates. Methods for testing for normality are discussed. Both transformations and distribution fitting are presented as methods to assess capability for non-normal data. The webinar includes several examples to illustrate the methods.
Why Should You Attend:
Considerable misunderstanding exists related to 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.
Areas Covered in the Webinar:
- Process Stability and Process Capability
- Methods for Assessing Process Capability
- Estimating PPM
- Calculating and Interpreting Capability Indices (Cp, Cpk, Pp, Ppk, Cpm)
- Estimating uncertainty (confidence intervals)
- Shortcomings of Capability Indices
- Testing for Normality
- Methods for handling Non-Normal Data (Distribution fitting, transforming data)
Who Will Benefit:
- The target audience includes personnel involved in product/process development and manufacturing
- Quality Personnel
- Manufacturing Personnel
- Operations/Production Managers
- Production Supervisors
- Supplier Quality personnel
- Quality Engineering
- Quality Assurance Managers, Engineers
- Process or Manufacturing Engineers or Managers
Speaker
Steven WachsCourse Provider
Steven Wachs,
