MEEN40270 Quality Management

Academic Year 2021/2022

This is a core module on the Master of Engineering Management programme. It is designed for postgraduate students based in industry and who have at least five years professional engineering work experience.

This is an advanced module in the theory and application to practice of quality management principles, in particular Lean and Six Sigma. The module will cover the following topics:
Quality Management philosophy and methodology, ISO 9000 Quality Assurance Standards series. Total quality management. Quality Costs, Quality auditing. Benchmarking. Continuous Improvement, value analysis. Failure mode effects analysis (FMEA). Business Excellence Models. Application of statistical methods to process and quality control. Lean and Six Sigma tools and techniques.

The alternative linear conversion grade scale will be used in this module (A+ 95%-100%, A 90%-94%, A- 85%-89% etc)

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Curricular information is subject to change

Learning Outcomes:

1. Summarise the benefits of continuous improvement, value analysis, TQM, business excellence models, quality cost measurement for engineering operations.
2. Apply the analytical tools and techniques of Lean (e.g. TPS, DMAIC, A3 problem solving).
3. Apply the analytical tools and techniques of Six Sigma (e.g. 7 tools, process capability, SPC, FMEA, DoE).
4. Appraise the quality system in an engineering operation.
5. Formulate plans for an engineering operation to obtain an internationally recognised quality standard.

Indicative Module Content:

This is an advanced module in the theory and application to practice of quality management principles, in particular Lean and Six Sigma. The module will cover the following topics:
Quality Management philosophy and methodology, ISO 9000 Quality Assurance Standards series. Total quality management. Quality Costs, Quality auditing. Benchmarking. Continuous Improvement, value analysis. Failure mode effects analysis (FMEA). Business Excellence Models. Application of statistical methods to process and quality control. Lean and Six Sigma tools and techniques.

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning

80

Lectures

24

Total

104

Approaches to Teaching and Learning:
active/task-based learning; peer and group work; lectures; 
Requirements, Exclusions and Recommendations
Learning Requirements:

This is a core module on the Master of Engineering Management and the Professional Diploma in Operations Excellence programmes. It is designed for postgraduate students based in industry and who have at least two to five years professional engineering work experience.

Learning Recommendations:

Probability & Statistics module such as STAT40690 Quantitative Methods for Engineers, STAT40720 Introduction to Data Analytics or equivalent.


Module Requisites and Incompatibles
Additional Information:
This module is designed for postgraduate students based in industry and who have at least two to five years professional engineering experience.

Equivalents:
Quality Management (EEME40040)


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: In-semester assignments (WR) Week 12 n/a Alternative linear conversion grade scale 40% No

50

Continuous Assessment: In-semester assignments (DH) Week 6 n/a Alternative linear conversion grade scale 40% No

50


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr David Heeran Lecturer / Co-Lecturer
Mr Willo Roe Lecturer / Co-Lecturer
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
     
Lecture Offering 1 Week(s) - 19, 22, 28, 32 Fri 19:00 - 20:50
Lecture Offering 1 Week(s) - 20, 21, 23, 24, 25, 29, 30 Fri 19:00 - 20:50
Spring