PGDip Reliability Engineering and Asset Management / Course details
Year of entry: 2025
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Course unit details:
Asset Maintenance Systems
Unit code | MECH69032 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | No |
Overview
- Introduction to the concept of “System” as applied to Maintenance
- Critical relationship between systems and organisations
- Exploring a Model Maintenance system
- Maintenance Option selection, Planning and Scheduling Processes
- Issues of controlling the Maintenance management System
- Maintenance Spares and Logistics Processes
- Maintenance costing Processes
- Understand the potential role of maintenance and asset management within the premise of Industry 4.0
- Investigate the pros and cons of computerised maintenance management systems and possible improvement opportunities
This unit involves;
• Studying topics and applications which broaden and enhance the degree/PDP unit in which students are likely to hold a BEng Honours degree.
• Studying different engineering topics and applications which enhance the prime content of the programme.
• Studying multidisciplinary (engineering) topics.
• A balance of study of technical (50%) and non-technical content (50%)
Aims
At the end of this module the student should be able to;
-Demonstrate an understanding of the theory and principles underlying the design, organisation and operation of an effective maintenance system.
-Generate and justify selection of the most appropriate maintenance processes and options based on plant type, geometric configuration and the operating environment of the equipment
-Differentiate between the various elements of a maintenance system and integrate the various elements into a complete system.
-Explain / describe the potential opportunities and threats that may accompany the currently trending fourth industrial revolution through initiatives such as industrial internet of things (IoTs) or e-maintenance or autonomous maintenance or smart maintenance
Syllabus
- Introduction to the concept of “System” as applied to Maintenance
- Critical relationship between systems and organisations
- Exploring a Model Maintenance system
- Maintenance Option selection, Planning and Scheduling Processes
- Issues of controlling the Maintenance management System
- Maintenance Spares and Logistics Processes
- Maintenance costing Processes
- Understand the potential role of maintenance and asset management within the premise of Industry 4.0
- Investigate the pros and cons of computerised maintenance management systems and possible improvement opportunities
Teaching and learning methods
The course is delivered as 5-full days of teaching on campus and subsequent discussion through the online Blackboard system.
Knowledge and understanding
Explain / describe how the maintenance system integrates into the wider system (production department, business management etc)
Intellectual skills
Explain / describe the totality of the maintenance function and its relationship to the wider system in the context of connectivity
Practical skills
Working in teams to design specific outcomes for particular issues and individually creating solutions to maintenance problems
Transferable skills and personal qualities
• Make extensive use of the Internet for research concerning maintenance issues and approaches
• Participate in extended workshops where students work as members of teams tasked with a specific outcome as well as take turns as team leaders.
Assessment methods
Method | Weight |
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Written exam | 50% |
Report | 50% |
Feedback methods
Provided in person or via the Blackboard system.
Recommended reading
Maintenance Organizations and Systems- Author Anthony Kelly ISBN0750636033
Various articles on Maintenance found on the Maintenance Resource Centre on the Web.
Various articles on industrial internet of things (IoTs), e.g.
• A cyber-physical systems architecture for industry 4.0-based manufacturing systems
• Collaboration mechanisms to increase productivity in the context of Industry 4.0
• Human machine interaction in the Industry 4.0 era
• Security and privacy challenges in industrial internet of things
• Towards industry 4.0-standardization as the crucial challenge for highly modular, multi-vendor production systems
Study hours
Scheduled activity hours | |
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Lectures | 35 |
Project supervision | 50 |
Tutorials | 5 |
Independent study hours | |
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Independent study | 60 |
Teaching staff
Staff member | Role |
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Akilu Kaltungo | Unit coordinator |