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Seminar on Predicting & Improving Product Reliability  

By:

Global Compliance Panel

Seminar on Predicting & Improving Product Reliability seminar agenda print utility

dates/locations

For:

Product Engineers, Reliability Engineers, Design Engineers, Quality Engineers, Quality Assurance Managers, Project / Program Managers, Manufacturing Personnel

Cost:   

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Seminar Summary:

Participants will also learn how to calculate sample sizes for reliability testing and utilize reliability models to develop forecasts of future failures. (see full course description)

 

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Training Course Syllabus:


Predicting & Improving Product Reliability

Course "Predicting and Improving Product Reliability" has been pre-approved by RAPS as eligible for up to 12 credits towards a participantīs RAC recertification upon full completion.

Overview:

Although a primary objective of reliability analysis is to improve product reliability, there are many possible reasons for collecting and analyzing reliability data.


Agenda:

Day 1 Schedule

Lecture 1:
Reliability Concepts and Reliability Data

Probability and Statistics Concepts

Lecture 2:
Probability and Statistics Concepts (contīd)

Lecture 3:
Assessing Selecting Models (Distributions) for Failure Data

Lecture 4:
Estimation of Reliability Characteristics

Day 2 Schedule

Lecture 1:
Estimation of Reliability Characteristics (contīd)

Lecture 2:
Introduction to Reliability of Systems

Lecture 3:
Introduction to Reliability Test Planning

Lecture 4:
Analysis of Warranty Data

Speaker:

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.


Seminar Summary:

Participants will also learn how to calculate sample sizes for reliability testing and utilize reliability models to develop forecasts of future failures. (see full course description)

 

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