Duration: 3 days CEUs: 2.1 CRP Credits: 3 Course Prerequisites Assumes Basic Knowledge Of Undergraduate Algebra Elementary Calculus Probability and Statistics Recommended Prior Course(s) Alternative/Similar Course(s) N/A Next Recommended Course G522B or any course based on interest Software Used Primary: Weibull++ Supplemental: RENO

Computer Required for Course
Plan to install and explore the course software prior to attending.

Upcoming Seminars:

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# G588 - Applications of Experiment Design and Analysis in Reliability Engineering

## Learn Design of Experiments ( DOE )

The G588 training seminar begins with the fundamentals of Design of Experiments (DOE) methods and continues with advanced concepts, principles and requirements.

The DOE training course presents concepts and software tools that you could use to help your organization:

• Design experiments that are effective for studying the factors that may affect a product or process.
• Analyze experimental results in order to identify the significant factors and evaluate ways to improve and optimize the design.
• Go beyond traditional DOE techniques in order to apply the proper analysis treatment for the response information that is often of interest to reliability engineers — product lifetime data.

### Introduction, Background and Overview

• A brief history of Design of Experiments (DOE)
• When to use DOE
• Some typical applications of DOE
• Basic principles of DOE
• Overview of basic statistical concepts
• Types and purposes of DOE methods

### Full Factorial Design

• ANOVA
• The basics of "full factorials"
• Factorial effects and plots
• Model evaluation

### Two Level Fractional Factorial Design

• Objective
• The one-half fraction and one-quarter of the 2k design
• The general 2k-p fractional factorial design
• Resolution III, IV and V designs

### The Robust Design

• The basics of robust designs
• Taguchi designs
• A short robust design example

### The Response Surface Methodology

• From first-order experiments to second-order experiments
• Analysis of second-order response surfaces
• Central composite designs
• Box-Behnken design
• Process optimization

### Reliability DOE for improving product reliability

• Overview of life data modeling
• Factor-life relationship
• Identify important factors affecting product reliability
• Improve product reliability

### Multiple Case Studies and Applications

• Experiments for improving reliability

### Hands-on Practice Using the Weibull++ Software

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