Why Attribute Control Charts Fail and How to Make Them Work for You
Forrest W. Breyfogle III
Bio:
Forrest Breyfogle is an ASQ Fellow and CEO of Smarter Solutions, Inc. He has authored or co-authored over fifteen books about business management and Lean Six Sigma process improvement and their enhancements.
His books, Management 2.0 and Leadership 2.0, describe an Integrated Enterprise Excellence (IEE) system with accompanying software in a novel-book format. IEE offers radical management advancements in utilizing and integrating scorecards, strategic planning, and process improvement.
Mr. Breyfogle was named Quality Professional of the Year for 2011 by Quality Magazine and, in 2012, was awarded Alumni of the Year by Missouri University of Science and Technology. He also received the prestigious Crosby Medal from ASQ in 2004 for an earlier book, Implementing Six Sigma. He received the Leadership Award at the 2013 Lean & Six Sigma World Conference.
Summary:
Have you seen many out-of-control signals from a p-chart and cannot find reasons for the occurrences? You are not alone!
Even though traditional attribute control charting techniques have existed for over 100 years, some critical mathematical properties of these charts can lead to organizational applications that are wasteful and harmful.
This webinar will:
- Show how the mathematical properties of attribute control charting techniques can lead to firefighting common-cause variation as though it were special-cause – and how to resolve the problem.
- Show how to determine if a process response is stable from a customer perspective.
- For stable processes, show a report-out that includes futuristic expectations, e.g., a non-conformance rate.
- Describe the need to improve a process(es) (e.g., via a Lean Six Sigma project) if a futuristic process-response statement is undesirable (e.g., non-conformance rate).
- Provides and describes a free metric reporting app that offers many advantages over traditional attribute control charting methodologies, including no firefighting common-cause variation as though it were special-cause.
- Describe a methodology where an organization can report automatically updated predictive performance metrics throughout its business.
Location:
Virtual
Cost / RUs:
This webinar is free to attend.
0.1 RU per hour shall be awarded.
Registration:
Please be sure to register for this event if you plan to attend.