About this course

Watch RECORDED Session for Just $59

Training Duration: 75 Minutes

Accessible On: Any media device

Recorded On: March 25, 2019

Access any day, anytime, unlimited times as per your convenience*

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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 session introduces important statistical concepts and methods that are essential for making objective decisions related to product quality. These methods are based on process data and allow optimal decisions to be made. Participants will understand the purpose and value provided for each of the methods discussed and understand their place in a data driven quality system.

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

The methods have many applications including:

• Ensuring that one can effectively measure key characteristics
• Determining how well the process/product meets requirements
• Knowing when a process or system is behaving consistently (stable) or differently(unstable) than before
• Uncovering which key inputs to my process affect product performance or customer satisfaction
• Ensuring adequate sample sizes for making decisions
• Comparing groups of data when random (natural) variation is present?
• Predicting future outcomes using a predictive model

 

Session Highlights:

The session will cover the following topics:

• 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 You Should Attend:

 

Who Should Attend :

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