Module Details

Module Code: MANU8007
Title: Quality Engineering
Long Title: Quality Engineering
NFQ Level: Advanced
Valid From: Semester 1 - 2016/17 ( September 2016 )
Duration: 1 Semester
Credits: 5
Field of Study: 5400 - Manufacturing Engineering
Module Delivered in: 7 programme(s)
Module Description: This module is designed to develop a critical appreciation of common quality issues and a range of statistical product and process improvement tools and methods with which these problems may be reduced or eliminated.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Generate procedures compatible with a defined quality management system.
LO2 Analyse inspection data to extract significant figures.
LO3 Optimise processes using six sigma methodologies.
LO4 Design quality into manufacturing processes.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Quality Management
Definition of quality. Evolution of quality management systems. Quality management models and awards. Quality Audits, Vendor rating, Quality Costs, Document Control.
Variation & Process Capability
Sources of variation. Identifying With-in Piece, Piece-to-piece and Batch-to-batch variation. Construction and interpretation of Cusum charts, Control (Variable and Attribute)charts. Process capability indices. Objectives of a process capability study. Analysis of variances.
Acceptance sampling
Principles of Acceptance sampling. OC curves. Sampling plans & methods. AOQ, AQL, ATI and ASN.
Lean & Six Sigma
Lean concepts including Quality at the Source, visual factory, 5S, ZQC and mistake proofing. Six sigma and the DMAIC methodology.
Module Content & Assessment
Assessment Breakdown%
Coursework30.00%
End of Module Formal Examination70.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 10
Timing Week 8 Learning Outcomes 1,4
Assessment Description
In-class assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing Every Second Week Learning Outcomes 2
Assessment Description
Data manipulation & interpretation
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 70
Timing End-of-Semester Learning Outcomes 1,2,3,4
Assessment Description
End-of-Semester Final Examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Classroom tuition Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Self directed learning Every Week 3.00 3
Lab Contact Use of appropiate software Every Second Week 1.00 2
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Classroom lecture Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Self Directed Learning Every Week 3.00 3
Lab Contact Use of appropriate software Every Month 1.00 4
Total Hours 10.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • edited by Barrie G. Dale. (2003), Managing quality, Blackwell, Oxford, [ISBN: 9780631236146].
  • Craig Gygi, Neil DeCarlo, Bruce Williams & Stephen R. Covey. (2005), Six Sigma for Dummies, Wiley Publishing, US, [ISBN: 0-7645-6798-5].
  • edited by Krishna B. Misra. (2008), Handbook of Performability Engineering, Springer-Verlag London Limited, London, [ISBN: 9781848001312].
Supplementary Book Resources
  • Theodore T. Allen. (2005), Introduction to Engineering Statistics and Six Sigma, Springer-Verlag London Ltd, UK, [ISBN: 978-1852339555].
  • Joseph Juran. (2000), Juran's Quality Control Handbook, 5th. McGraw-Hill Professional, [ISBN: 978-0071165396].
This module does not have any article/paper resources
This module does not have any other resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_EAMTE_8 Bachelor of Engineering (Honours) in Advanced Manufacturing Technology 1 Mandatory
CR_EBIOM_8 Bachelor of Engineering (Honours) in Biomedical Engineering 5 Mandatory
CR_EMECH_8 Bachelor of Engineering (Honours) in Mechanical Engineering 7 Elective
CR_EPPTE_8 Bachelor of Engineering (Honours) in Process Plant Technology 1 Mandatory
CR_EMASD_8 Certificate in Manufacturing Systems Design 1 Mandatory
CR_EPPSY_8 Certificate in Process Plant Systems 1 Mandatory
CR_EMECE_9 Master of Engineering in Mechanical Engineering 7 Elective