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Statistical Methods for Quality Improvement

December 12 Tuesday 10:00 AM PST | 01:00 PM EST Duration: 3 hours

Sponsored by ComplianceOnline

Click Here to register $199.00

Click Here to register and receive recording $399.00

This webinar presents an overview of essential quantitative methods for assessing and ensuring product quality. The methods include: Statistical Process Control, Process Capability Assessment, Regression Modeling, Design of Experiments, Hypothesis Testing, and Measurement Systems Assessment.

Description:

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 random (natural) variation is present?
  • Predicting future outcomes using a predictive model

Why Should You Attend:

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 best use of the available data achieve a competitive advantage by optimizing their operations and making superior decisions. Companies that fail to take advantage of data are resigned to chasing rather than leading in this information age.

This webinar provides a solid introduction of important statistical concepts and methods that are essential for making objective decisions related to product quality.

Areas Covered in the Webinar:

  • 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

Instructor Profile:

Steven Wachs
Principal Statistician, Integral Concepts, Inc

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.

Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty.