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Statistical Methods for Quality Improvement

5135
Duration : 90 Minutes

Steven Wachs,

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
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This webinar introduces important statistical concepts and methods for making objective decisions to ensure and improve product quality. The methods have many applications including:

• Determining how well my process/product meets requirements
• Knowing when a process or system is behaving consistently or differently than before
• Uncovering which key inputs to my process affect product performance or customer satisfaction
• Ensuring that I can effectively measure what I need to
• Comparing groups of data when a random (natural) variation is present
• Predicting future outcomes using a predictive model

The methods introduced include: Statistical Process Control, Process Capability Assessment, Regression Modeling, Design of Experiments, Hypothesis Testing, and Measurement Systems Assessment. 

Course Objectives:

Many companies are swimming in data yet raw data is mostly useless without methods to turn this data into useful and actionable information. Those individuals and companies that make the best use of the available data achieve a competitive advantage by optimizing their operations and making processor decisions. Companies that fail to take advantage of data are resigned to chasing rather than leading in this information age. We will cover:

•  Variation & Quality
•  Process Stability/Statistical Process Control
•  Process Capability Assessment
•  Predictive Models (Regression & Design of Experiments)
•  Hypothesis Testing for Decision Making
•  Measurement Systems Assessment
•  Examples & Applications

Course Outline:

This webinar provides a solid introduction of important statistical concepts and methods that are essential for making objective decisions related to product quality. Following the webinar, the participants will possess an understanding of the purpose and benefits of critical methods including:

• Statistical Process Control
• Process Capability Assessment
• Regression Modeling
• Design of Experiments
• Hypothesis Testing
• Measurement Systems Assessment

What You Get:

• Training Materials
• Live Q&A Session with our Expert
• Participation Certificate
• Access to Signup Community (Optional)
• Reward Points

Who Will Benefit:

•  Quality Personnel
•  Manufacturing Personnel
•  Operations/Production Managers
•  Production Supervisors
•  Supplier Quality personnel
•  Quality Engineering  
•  Quality Assurance Managers, Engineers
•  Process or Manufacturing Engineers or Managers

Please reach us at 1-888-844-8963 for any further assistance or if you wish to register

100% MONEY BACK GUARANTEED

Refund / Cancellation policy

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Subject : Statistical Methods for Quality Improvement


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