Applying Statistical Process Control Effectively

Why Should You Attend:

Most companies have failed to achieve the potential benefits from the application of statistical process control due to widespread misunderstanding and misapplication of the methods. When misapplied, great improvements in quality and productivity are not achieved. The consequences of the improper application of SPC include: devastating inefficiencies, poor purchasing decisions, a false sense of reality, and processes controlling human behavior rather than the humans controlling process behavior.

Attend this webinar to develop a solid understanding of what SPC is and what it isn't. We will discuss the common misunderstanding and misapplications of SPC so that you may avoid them. at the end of this session, you will be equipped to make immediate improvements in your current implementation of SPC.

Areas Covered in the Webinar:

• A brief overview of the purpose of Statistical Process Control
• SPC Fundamentals
• Common misunderstandings and misapplications of SPC. They include:
  • the belief that control charts provide an indication of process capability
  • the belief that specification limits are related to control limits
  • a misunderstanding of chart sensitivity to detect process changes (proper sample size selection)
  • the limitations of traditional control charts (e.g. Xbar-R) for many modern production processes
  • charting the wrong characteristics
  • when the normality of data matters
  • the shortcomings of process capability indices
  • when control limits should be updated
  • how best to apply SPC to short production runs

Learning objectives:

• Understand SPC terminology and basic concepts
• Understand the most common mistakes in applying
• Know the difference between process stability and process capability along with the appropriate methods for identifying both aspects (including an understanding of non-Normal distributions)
• Be able to make immediate improvements in the implementation of SPC in your organization

Who Will Benefit:

The target audience includes anyone with a vested interest in consistently producing quality goods and services.

• Operations / Production Managers
• Production Supervisors
• Quality Assurance Managers
• Process or Manufacturing Engineers or Managers

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. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.

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