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.
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: