Process Variation with X-Bar and R Charts

Speaker

Instructor: Michael Abitz
Product ID: 705862

Location
  • Duration: 60 Min
This webinar will teach you how X-Bar and R Charts are used to identify and analyze variation within transactional and manufacturing processes. All Processes in an organizations need to be protected and monitored so monitoring control charts offers Process Owners a way to determine if their processes are in control, capable and stable.
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Why Should You Attend:

Traditional methods of Process Improvement demonstrate high failure rates: Business Process Reengineering (BPR) 50% to 85%, Total Quality Management (TQM) 75%, and Six Sigma 90%.

Combining X-Bar R Charts with other effective quality management tools such as Process Reliability Modeling and the Model for Improvement will result in significant organizational improvement.

This X-Bar and R Charts webinar will provide participants the tools and methods needed for success to identifying and correcting problems by teams and process owners.

Areas Covered in the Webinar:

  • Process Control
  • Run Charts
  • X-Bar, R Charts
  • How to calculate grand average, upper control limit, lower control limits
  • How to identify root causes of failure: failure modes, failure mechanisms
  • How to repair processes or solve problems with The Model for Improvement

Who Will Benefit:

This training is useful for all the individuals who want to learn process variation countermeasures. It would be ideal for:

  • Senior executives
  • Strategic leaders
  • Quality Managers
  • Product managers
  • Manufacturing and R&D Managers
  • Quality Professionals/Consultants
  • ISO Coordinators/Management Representatives
  • Engineers and Supervisors
  • Laboratory quality professionals
Instructor Profile:
Michael Abitz

Michael Abitz
Adjunct Professor, Colorado Technical University

Dr. Michael Abitz is an Adjunct Professor at New Mexico Jr. College, Hobbs, NM. He received his Doctorate in Management from Colorado Technical University and Master of Science in Quality Assurance from California State University. He is a certified Six Sigma Quality Black Belt.

His areas of interest include teaching online; providing training to pacific rim suppliers in accelerated life testing of communications, computer and digital storage products; mentoring organizations in problem solving and process improvement; and to date cost savings include $15.6M in addition to $14M in sales.

Dr. Abitz's experiences include: aerospace and computer industries where he developed and presented training in: Organizational Process Improvement, Six Sigma (35 classes) and Root Cause Failure Analysis to U.S. companies and Pacific Rim suppliers.

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Our refund policy is governed by individual products and services refund policy mentioned against each of offerings. However in absence of specific refund policy of an offering below refund policy will be effective.
Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange. Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time. On-Demand Recording purchases will not be refunded as it is available for immediate streaming. However if you are not able to view the webinar or you have any concern about the content of the webinar please contact us at below email or by call mentioning your feedback for resolution of the matter. We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email [email protected] call +1-888-717-2436 (Toll Free).

 

 

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