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ASQ: Using an Ishikawa Diagram to Identify Special Cause Variation in Control Charts
May 10 @ 6:00 pm - 7:00 pm
ASQ Inspection Division Webinar (0.1 RU) — Using an Ishikawa Diagram to Identify Special Cause Variation in Control Charts
However, validation is only the beginning of this requirement. Validated processes must also be controlled and monitored; a requirement generally referred to as continuous process monitoring.
Analyzing a control chart to identify special cause variation can be facilitated by using an Ishikawa diagram
- Discuss continuous process monitoring requirements.
- Identify continuous process monitoring techniques.
- Choose the correct control chart for the type of data.
- Interpret control charts to identify special cause variation.
|Event address for attendees:||https://asq.webex.com/asq/onstage/g.php?MTID=eee2ebcacac679849820cc42c625df58d|
Quality Systems Compliance LLC
Mark Allen Durivage has worked as a practitioner, educator, and consultant. He is Managing Principal Consultant at Quality Systems Compliance LLC, ASQ Fellow, SRE Fellow, and an Expert Faculty Member for AAMI. He holds several certifications including CRE, CQE, CQA, CSQP, CSSBB, RAC (Global), and CTBS. Durivage has written several books available through ASQ Quality Press, published articles in Quality Progress, and is a frequent contributor to Life Science Connect.
Mark primarily works with companies in the FDA regulated industries (medical devices, human tissue, animal tissue, and pharmaceuticals) focusing on quality management system implementation, integration, updates, and training. Additionally, he assists companies by providing internal and external audit support as well as FDA 483 and Warning Letter response and remediation services.
Connect with Mark on LinkedIn: www.linkedin.com/in/markdurivage
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