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Steven Wachs

Vice President & Principal Statistician, Integral Concepts, Inc.

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He 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.

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

He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.



  •  Monday, February 25, 2019
  • 10:00 AM PST | 01:00 PM EST,
  • 90 Minutes
  • ¤150.00
Process Capability Assessment for Normal and Non-Normal Data

Companies must assure that their processes are capable of producing products and services that consistently meet customer specifications.

  •  Tuesday, March 5, 2019
  • 10:00 AM PST | 01:00 PM EST,
  • 75 Minutes
  • ¤150.00
Determining Sample Size: What Sample Size Should I Use?

The webinar will provide important considerations when selecting sample sizes for specific applications.

  •  Monday, March 11, 2019
  • 10:00 AM PDT | 01:00 PM EDT,
  • 90 Minutes
  • ¤150.00
Acceptance Sampling for Process Validation and Production Lot Monitoring

Personnel involved in process validation and production control often rely on sampling methods to determine the suitability of a process before moving to production (process validation) or for checking production lots for acceptance.

  •  Thursday, March 21, 2019
  • 10:00 AM PDT | 01:00 PM EDT,
  • 90 Minutes
  • ¤150.00
Statistical Methods for Quality Improvement

This webinar introduces important statistical concepts and methods for making objective decisions to ensure and improve product quality.





  • Recorded
  • View Anytime
  • 75 Minutes
  • ¤190.00
Determining Sample Size: What Sample Size Should I Use?

The webinar will provide important considerations when selecting sample sizes for specific applications.

  • Recorded
  • View Anytime
  • 90 Minutes
  • ¤190.00
Process Capability Assessment for Normal and Non-Normal Data

Companies must assure that their processes are capable of producing products and services that consistently meet customer specifications.

  • Recorded
  • View Anytime
  • 90 Minutes
  • ¤190.00
Acceptance Sampling for Process Validation and Production Lot Monitoring

Personnel involved in process validation and production control often rely on sampling methods to determine the suitability of a process before moving to production (process validation) or for checking production lots for acceptance.

  • Recorded
  • View Anytime
  • 90 Minutes
  • ¤190.00
Statistical Methods for Quality Improvement

This webinar introduces important statistical concepts and methods for making objective decisions to ensure and improve product quality.