QLTY08016 2013 Experimental Design

General Details

Full Title
Experimental Design
Transcript Title
Experimental Design
Code
QLTY08016
Attendance
N/A %
Subject Area
QLTY - Quality
Department
MENG - Mech. and Electronic Eng.
Level
08 - NFQ Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2013 - Full Academic Year 2013-14
End Term
9999 - The End of Time
Author(s)
JOHN DONOVAN
Programme Membership
SG_EQLTY_K08 201300 Bachelor of Science (Honours) in Quality Management and Tech SG_EADVA_E08 201500 Level 8 Certificate in Advanced Lean Sigma Quality SG_ELEAN_E08 201300 Level 8 Certificate in Engineering in Lean Sigma Quality SG_EPOLY_K08 201800 Bachelor of Engineering (Honours) in Engineering in Polymer Processing
Description

This module will provide the student with the tools necessary to plan, conduct and analyse experiments. The analytical interpretation of these results will allow the student to optimise products and processes.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Calculate correlation coefficient and conduct a test of significance.

2.

Solve simple linear regression and curvilinear regression problems and make predictions.

3.

Conduct one way and two-way ANOVA including the analysis of residuals.

4.

Conduct  and  factorial experiments and analyse the resulting data.

5.

Apply Taguchi methods involving calculation of loss function and signal-to-noise ratios.

6.

Describe when and how to apply the appropriate experimental techniques and models

7.

Use a statistical package to analyse and interpret experimental data.

Teaching and Learning Strategies

Real world examples, case studies and published peer reviewed papers will be utilised, where possible.

Module Assessment Strategies

Students will plan, conduct, analyse and interpret their own non-industrial experiment using Minitab software.

Final 2.5 hour written exam.

Module Dependencies

Prerequisites
MATH08005 201300 Statistics

Indicative Syllabus

  1. Correlation : Meaning of correlation coefficient (r).Hypothesis test on correlation coefficient. Spearman's Rank Order correlation.
  2. Regression : Simple linear regression. Making predictions. Confidence intervals and hypothesis testing. The coefficient of Determination. Curvilinear regression and use of transformations. Computation of Multiple Regression via computer.
  3. Analysis of Variance : One and two way ANOVA. Comparison of treatment means - Least Significant difference. Analysis of Residuals. Randomised block designs.
  4.  Factorial designs : Planning and conducting industrial experiments, blocking, replication, randomisation. Analysis of variance. Calculation of main and interaction effects. Development response graphs. Development of a model which relates response to the factors. Model adequacy checking. Dealing with single replicates of a  design. Construction of blocks in a  design.
  5.  fractional factorial designs : Their construction and analysis. Design resolution, confounding patterns and generating relations. Fold-over designs.
  6. Taguchi methods: The philosophy. Loss function. Approach to parameter and tolerance design. Inner and outer Arrays. Linear graphs, Data analysis using Taguchi methods. Comparison of Taguchi experimental designs and data analysis methods with western methods.
  7. Brief introduction to Random vs. Fixed effects models and Crossed vs. Nested designs.  

Indicative Projects  

  1. Optimisation of a catapult
  2. Optimise the cooking of Rice
  3. Optimisation of a paper airplane

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
20 %
End of Semester / Year Formal Exam
80 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Group Project Students will plan, design, conduct, analyse and interpret their own non-industrial experiment Continuous Assessment UNKNOWN 20 % OnGoing 1,2,3,4,5,6,7
             
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam one written paper Final Exam UNKNOWN 80 % End of Term 1,2,3,4,5,6,7
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Not Specified Lecture 2 Weekly 2.00
Tutorial Not Specified Tutorial 2 Weekly 2.00
Independent Learning UNKNOWN Independent Learning 4 Weekly 4.00
Total Full Time Average Weekly Learner Contact Time 4.00 Hours

Part Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Distance Learning Suite Theory 2 Weekly 2.00
Tutorial Not Specified Tutorial 2 Weekly 2.00
Independent Learning UNKNOWN Independent Learning 4 Weekly 4.00
Total Part Time Average Weekly Learner Contact Time 4.00 Hours

Module Resources

Non ISBN Literary Resources

Authors

Title

Publishers

Year

Montgomery, Douglas

Design and Analysis of Experiments,

John Wiley & Sons

2013

Box, Hunter & Hunter,

Statistics for Experimenters

John Wiley & Sons

2005

Turner. Charles and Hicks. Kenneth

Fundamental Concepts in the Design of Experiments

Oxford University Press.

1999

Ross, Phillip

Taguchi Techniques for Quality Engineering

McGraw-Hill

 1995

Roy, Ranjit

Design of Experiments Using the Taguchi Approach : 16 Steps to Product and Process Improvement,.

John Wiley & Sons

2001

Other Resources

None

Additional Information

None