| Unit name | Uncertainty and Risk Management |
|---|---|
| Unit code | MENGM0038 |
| Credit points | 20 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 4 (weeks 1-24) |
| Unit director | Professor. Booker |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
None |
| School/department | Department of Mechanical Engineering |
| Faculty | Faculty of Engineering |
The course comprises a series of lectures supported by case studies and examples designed to expose the student to the principles and practice of modern techniques used in Uncertainty and Risk Management. The course is given in five blocks covering:
1. Introduction: risk categories and the nature of risk and uncertainty; definitions used, measures and examples of different types of uncertainty and risk, costs related to quality and reliability, uncertainty in costs, auditing of costs, and roles and responsibilities of different actors, models for reducing uncertainty and risk in different product development/project phases; risk perception and socio-technical aspects of risk.
2. Techniques for Risk & Reliability Management: presents failure modes, causes and their mitigation, relationship to components, assemblies and systems, weak links, the recommended actions and planning for mitigation, lessons learned approaches, and examples.
3. Techniques for Quality Management: introduction to the standards of quality, Quality Management Systems and the Total Quality Management as a business approach, quality tools & techniques.
4. Techniques for Uncertainty Management: provides techniques for data handling, distribution fitting and tests of fit, correlation of variables, as well as hypothesis testing (F, t, χ2) with an overview of Monte Carlo Simulation and Sensitivity Analysis. Relevant standards also introduced.
5. Applications: domains for using the above methods and techniques.
On successful completion of the unit, participants should be able to (mnemonic references are to Engineering Council AHEP categories):
Together with other units in the teaching block this unit will contribute to the ability of participants to:
The unit will be delivered using lectures taught by academic staff, small group activities using case studies as vehicles for learning, a lab session on statistical process control. All learning materials will be made available to students in advance via Blackboard. A reflective log will be kept as part of the Global Challenge Project.
