Compliance4All, Online Event
2017-04-04
Overview: Statistical textbooks, manuals, and even most software rely on the assumption that processes conform to the normal or bell curve distribution.
Why should you Attend: Almost all traditional industrial statistical methods rely on the assumption that the critical to quality (CTQ) characteristic follows the normal or bell curve distribution. The bell curve is far more common in textbooks than it is in real factories, where processes often follow other distributions.
Areas Covered in the Session: SPC charts can be created that work properly for non-normal distributions and have the same false alarm risk as the traditional Shewhart chart for a normal distribution. Process performance indices can be calculated that reflect accurately the nonconforming fraction (or defects per million opportunities) for non-normal distributions.
Who Will Benefit: Manufacturing Quality Engineers Managers
Contact Detail: Compliance4All DBA NetZealous, Phone: +1-800-447-9407 Email: support@compliance4All.com
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