Design of Experiments_lecture_1 - introduction powerpoint

DOE Lecture 1 - Introduction

1. Industrial Engineering
Design of Experiments
(Lecture I)
Dr. Adham Ragab

2. Industrial Engineering
Outline
Goals of course
Objectives of current lecture
Course Description
What is DOE

3. Industrial Engineering
Course Goals
By the end of this course, the student
should:
◦Understand the theoretical basis of
experimental design.
◦Describe sampling, hypothesis testing and
simple statistics.
◦Explain the sources of error and
confidence interval.

4. Industrial Engineering
Course Goals
Define experiments with one factor and
analyze them using analysis of variance
(ANOVA) techniques.
Explain randomized complete designs.
Design experiments using general factorial
design with two or more factors.
Run regression analysis.
Recognize the basis of RSM
Analyze data using Minitab.

5. Industrial Engineering
Lecture Goals
By the end of this lecture, the student
should be aware of:
◦Course contents, goals and grading
schema.
◦The meaning and nature of DOE.

6. Industrial Engineering
Course Description
Course Title:
◦Design of Experiments, IE 333
Instructor:
◦Dr. Adham Ragab, Assistant professor
Text book:
◦Design and Analysis of Experiments, D.
C. Montgomery
Midterms and final are open book
exames.

7. Industrial Engineering
Course Description
Course Topics
◦Introduction
◦Basic Statistics
◦Tests of hypothesis
◦Experiments with a Single Factor: The Analysis
of Variance
◦Randomized Blocks
◦Introduction to Factorial Designs
◦The 2
k
Factorial Designs
◦Fractional Factorial
◦Regression
◦RSM

8. Industrial Engineering
Course Description
Grading System:
◦20 % Midterm (8
th
week, formula sheet
provided)
◦5% Two assignments
◦10% Two quizzes
◦10 % Project
◦10 % Lab work
◦5 % Lab exam
◦40 % Final exam (formula sheet provided)

9. Industrial Engineering
Course Description
Course organization
◦3 hours lecture per week
◦1 hour tutorial per week
◦1 hour lab per week
Software
◦Minitab

10. Industrial Engineering
What is DOE

11. Industrial Engineering
Experiment
“A test or investigation, esp. one
planned to provide evidence for or
against a hypothesis” World English
Dictionary.

12. Industrial Engineering
Experiment
“A test or procedure carried out under
controlled conditions to determine the
validity of a hypothesis or make a
discovery” Science Dictionary.
https://www.youtube.com/watch?v=7FfKaIgArJ8
https://www.youtube.com/watch?v=-KSryJXDpZo

13. Industrial Engineering
Experiment

14. Industrial Engineering
Observational Study

15. Industrial Engineering
Experiment
An experiment yields a sample data
◦For example: Boiling temperature of
water.
Data are processed (analyzed,
organized, structured, etc.) to produce
information.
Information might then be further
processed to produce knowledge.

16. Industrial Engineering
Design
“To work out the
structure or form of
(something), as by
making a sketch,
outline, pattern, or
plans” World English
Dictionary.

17. Industrial Engineering
Design
“The approach that engineering (and some other)
disciplines use to specify how to create or do
something. A successful design must satisfie a
(perhaps informal) functional specification(do what
it was designed to do); conforms to the limitations
of the target medium (it is possible to implement);
meets implicit or explicit requirements on
performance and resource usage (it is efficient
enough).
A design may also have to satisfy restrictions on
the design process itself, such as its length or cost,
or the tools available for doing the design”
Computing Dictionary.

18. Industrial Engineering
DOX 6E Montgomery 18
Engineering Experiments
An experimentis a test or a series of tests
Experiments are used widely in the
engineering world
◦Process characterization & optimization
◦Evaluation of material properties
◦Product design & development
◦Component & system tolerance determination
“All experiments are designed experiments,
some are poorly designed, some are well-
designed”

19. Industrial Engineering
DOX 6E Montgomery 19
Engineering Experiments
Reduce timeto
design/develop new
products & processes
Improve performanceof
existing processes
Improve reliabilityand
performance of products
Achieve product & process
robustness
Evaluationof materials,
design alternatives, setting
component & system
tolerances, etc.

20. Industrial Engineering
DOE
“He who fails to plan is planning to fail”
Winston Churchill during WWII

21. Industrial Engineering
DOE
“Design of Experiments is a formal
structured technique for studying any
situation that involves a response that
varies as a function of one or more
independent variables”.

22. Industrial Engineering
DOE
“DOE is specifically designed to
address complex problems where
more than one variable may affect a
response and two or more variables
may interact with each other”.

23. Industrial Engineering
DOE
“Experimental design
is a strategy to gather
empirical knowledge,
i.e. knowledge based
on the analysis of
experimental data
and not on theoretical
models.”
http://www.camo.com/rt/Resources/desig
n_of_experiment.html

24. Industrial Engineering
Why DOE?

25. Industrial Engineering
DOE Terminology*
Objective
◦The experiment goal
Response variable
◦Measured output value
Factors
◦Input variables that can be changed
Levels (treatments)
◦Specific values of factors (inputs)
*David J. Lilja

26. Industrial Engineering
DOE Terminology
Replication
◦Completely re-run experiment with same
input levels
Design Matrix
◦The design matrix will show combinations of
different levels for each input factor.
Randomization
◦“RANDOMIZATION IS THE INSURANCE
POLICY AGAINST INTRODUCING BIAS INTO
THE STUDY” George A. Milliken, Kansas State University

27. Industrial Engineering
DOX 6E Montgomery 27
Planning, Conducting &
Analyzing an Experiment
1.Recognition of & statement of
problem
2.Choice of factors, levels, and ranges
3.Selection of the response variable(s)
4.Choice of design
5.Conducting the experiment
6.Statistical analysis
7.Drawing conclusions,
recommendations

28. Industrial Engineering
Group Activity
In a military training,
it is required to test
the readiness of
soldiers to
participate in a
combat.
Design an
experiment to
achieve this goal.
Define the
responses, factors
and levels.

29. Industrial Engineering
Summary
DOE is an important tool to gather
empirical data.
It might be used in scientific
experiments or industrial
experiments.