In this Statistical Method webinar you will learn the essential quantitative methods for assessing and ensuring product quality and compliance. This methods includes: Statistical Process Control, Process Capability Assessment, Regression Modeling, Design of Experiments, Hypothesis Testing, and Measurement Systems Assessment.

Area 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

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

Who Will Benefit

The target audience includes personnel involved in product/process development and manufacturing.

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


On Demand

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 Know More

Steven Wachs