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Introduction to Measurement System Assessment - Virtual Seminar

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Category Quality Management and ISO 9000;

Deadline: January 16, 2017 | Date: January 16, 2017

Venue/Country: Palo Alto, U.S.A

Updated: 2017-01-04 16:59:56 (GMT+9)

Call For Papers - CFP

This training program will offer an introduction to measurement systems, and cover implementation of Gage R&R studies, linearity assessment, attribute measurement systems, and non-replicable systems.

Why Should You Attend:

Important measurement system characteristics include discrimination, accuracy, precision (repeatability and reproducibility), linearity, and stability. Techniques exist to assess measurement systems for each of these important characteristics. Skipping such assessments can lead to the use of measurement systems that are not capable of monitoring process variation or, in extreme cases, even of distinguishing between conforming and non-conforming product. In short, validating measurement systems is an important pre-requisite to relying on data.

This webinar will explore why measurement systems must be properly assessed to minimize risk and comply with customer and regulatory requirements.

Learning Objectives:

Understand key sources of measurement error

Design and conduct Gage R&R studies to estimate measurement error components (repeatability, reproducibility)

Interpret Gage R&R results and identify corrective actions, if necessary

Plan and conduct Gage R&R studies for attribute (pass/fail) measurement systems

Apply control charts to monitor measurement systems stability over time

Assess accuracy and linearity of measurement systems

Handle non-replicable systems (such as destructive tests)

Who Will Benefit:

Operations/ Production Managers

Quality Assurance Managers

Process or Manufacturing Engineers or Managers

Product Design Engineers


Research & Development Personnel

Project Managers

Lab Personnel

Tooling Engineers

QA/QC Personnel

Instructor Profile:

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.


Use coupon code NB5SQH8N and get 10% off on registration.

For Registration:

Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.