QLTY07007 2009 Applied Statistical Improvement
Full Title
Applied Statistical Improvement
Transcript Title
Applied Statistical Improvement
Code
QLTY07007
Attendance
N/A %
Subject Area
QLTY - Quality
Department
MENG - Mech. and Electronic Eng.
Level
07 - Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2009 - Full Academic Year 2009-10
End Term
9999 - The End of Time
Author(s)
Paul Curran
Programme Membership
SG_EQUAL_H08 200900 Bachelor of Science (Honours) in Quality Engineering
SG_EQUAL_J07 200900 Bachelor of Science in Quality
SG_EQUAL_J07 200900 Bachelor of Science in Quality
SG_EQUAL_B07 200900 Bachelor of Science in Quality Engineering
Description
The student should be able to function as part of a team undertaking an Experimental Design and understand concepts of Reliability.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Explain the concepts of reliability
2.
Perform simple reliability predictions and modeling.
3.
Undertake basic Reliability design analysis using FMEA and FTA.
4.
Plan and conduct a designed experiment.
5.
Perform a Taguchi Experimental Design
6.
Analyse and interpret data arising from a designed experiment.
7.
Use Minitab to Analyse an Experimental Design
Indicative Syllabus
Reliability
- Introduction to reliability engineering, definitions, bathtub curve, life cycle costing. (8 Hours)
- Fundamentals of reliability prediction, series and parallel systems. (6 Hours)
- Simple FMEAs, FTA. (8 Hours)
Experimental Design
- Planning an experiment. Guidelines for designing experiments. Analysis of Variance - Its interpretation and understanding. Use of computers to analyse data and residuals. (10 Hours)
- "2 to the power of k" factorial designs. Their analysis and interpretation. Randomisation, replication and blocking. Model adequacy checking. Computer analysis of experimental data. (16 Hours)
- Introduction to Taguchi methods. Loss function. Plan an experiment using Taguchi methods and subsequent computer analysis and interpretation. Confirmatory runs. (16 Hours)
Indicative Practicals/Projects
Plot Reliability data using Minitab
Plot Reliability data using Weibull chart paper
Perform and analyse an experiment on a statspult
Use experimental design techniques to optimise a paper airplane
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
30 %
End of Semester / Year Formal Exam
70 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Other Exam Mid Semester Examination | Coursework Assessment | UNKNOWN | 10 % | OnGoing | 1,2,3,4,5,6,7 |
| 2 | Project Experimental design Project | Coursework 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 2 hr paper | Final Exam | UNKNOWN | 70 % | End of Year | 1,2,3,4,5,6,7 |
Part Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Lecture | Distance Learning Suite | Theory | 2 | Weekly | 2.00 |
| Tutorial | Distance Learning Suite | tutorial hours | 1 | Weekly | 1.00 |
Total Part Time Average Weekly Learner Contact Time 3.00 Hours
Module Resources
Non ISBN Literary Resources
|
Authors |
Title |
Publishers |
Year |
|
Antony, Jiju |
Design of Experiments for Engineers and Scientists |
Oxford : Butterworth-Heinemann |
2003 |
|
Brewer, Robert |
Design of experiments for process improvement and quality assurance |
Engineering & Management Press, |
1996 |
|
U.Dinesh Kumar, John Crocker, T. Chitra, and Haritha Saranga |
Springer-Verlag |
2006 |
Other Resources
None