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DOE
 
DOE
To see a description of the Design of Experiments seminar please click here

To see a description of the Process Modeling seminar please click here

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Design of Experiments

COURSE ID : WGQS-101
AUTHOR: Fernando Perez
DURATION:   Two Days
WHO SHOULD ATTEND:   Technical and Operations Staff
DESCRIPTION

This Design of Experiments seminar will teach the technical staff a high impact methodology for process improvement. The calculations are deliberately kept simple and comprehensible.

 This is an innovative course that is built upon a proven DOE procedure for process improvement. Exercises are based on a simple to use DOE software. Participants are allowed to use Minitab as an optional tool.

Participants will learn an effective experimental design methodology to reduce process variation and improve process capability with minimum resources in a teamwork environment.

 Every participant will apply the basic DOE techniques in a Windows based computer with computer simulations for those that wish to learn more about DOE with hands-on exercises. 

The computer simulations are designed to teach you how to use the DOE software giving the confidence necessary to use the methods learned immediately upon returning to work.

 
CONTENT OVERVIEW
Day 1  
design of experiments Introduction to Design of Experiments (DOE)
experimental design The Taguchi approach to experimental design
Full factorial experimentation
Main and interaction effects
Normal probability plots
Calculation of Analysis of Variance (ANOVA)
Day 2  
Fractional factorial experimentation
Confounding effects
Resolution
Experimental error and replications
Mean and variability
Calculation of the signal-to-noise ratio
STUDENT MATERIALS
DOE workbook
DOE software for Excel
Additional handouts as required
HARDWARE AND SOFTWARE REQUIRED
 PC  for each student
 Excel
FACILITIES
 A room with a computer projector, whiteboard, etc.
LEARNING METHOD
 Lecture, teams, computer simulations, case studies, hands-on approach
REQUISITES
Background in basic mathematics and statistics
Candidates must be proficient in Windows and Microsoft Office environment
GENERAL

Two days of instruction, discussion, and assignments.

Tuition covers student materials, manuals, lunch and refreshments.

Training courses run from 8:00 a.m. to 12:00 noon and 1:00 p.m. to 5:00 p.m.

Sign-up and coffee at 7:30 a.m.

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Process Modeling

COURSE ID : WGQS-102
AUTHOR: Fernando Perez
DURATION:   Two Days
WHO SHOULD ATTEND:   Technical and Operations Staff
DESCRIPTION

This Process Modeling seminar will teach the technical staff a high impact methodology for process characterization.  

This is an innovative course that is built upon a proven procedure for process characterization. Exercises are based on Minitab for Windows to do statistical computations, data management, and statistical graphics. This course is not intended as a complete reference for Minitab for Windows. Rather, it will help participants to perform statistical analysis for process modeling.

Participants will learn an effective experimental design methodology to fit mathematical models to data and assess their usefulness with minimum resources in a teamwork environment. Scientific methods will be applied for homoscedasticy, autocorrelation, independence, and collinearity testing.

Every participant will use graphical techniques in a Windows based computer with computer simulations for those that wish to learn more about contour/surface plots with hands-on exercises. Computer simulations include a virtual catapult with one response variable and a gasoline engine with three response variables.

Computer simulations are designed to teach you how to use Minitab giving the confidence necessary to use the methods learned immediately upon returning to work.

 
CONTENT OVERVIEW
Day 1  
design of experiments Introduction
experimental design Correlation
Simple Linear Regression
Prediction and Confidence Intervals
Multiple Linear Regression
Coefficient of Determination
Day 2  
Principles of Experimental Design
Analysis of Variance
Experimental Error
Response Surface Methods
Computer-aided Modeling
STUDENT MATERIALS
Process Modeling workbook
Additional handouts as required
HARDWARE AND SOFTWARE REQUIRED
 PC  for each student
 Minitab
FACILITIES
 A room with a computer projector, whiteboard, etc.
LEARNING METHOD
 Lecture, teams, computer simulations, case studies, hands-on approach
REQUISITES
Background in analysis of variance and factorial experiments
Candidates must be proficient in Windows and Microsoft Office environment
GENERAL

Two days of instruction, discussion, and assignments.

Tuition covers student materials, manuals, lunch and refreshments.

Training courses run from 8:00 a.m. to 12:00 noon and 1:00 p.m. to 5:00 p.m.

Sign-up and coffee at 7:30 a.m.

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