MSc Reliability Engineering and Asset Management

Year of entry: 2024

Course unit details:
Asset Maintenance Systems

Course unit fact file
Unit code MECH69032
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

  1. Introduction to the concept of “System” as applied to Maintenance
  2. Critical relationship between systems and organisations
  3. Exploring a Model Maintenance system
  4. Maintenance Option selection, Planning and Scheduling Processes
  5. Issues of controlling the Maintenance management System
  6. Maintenance Spares and Logistics Processes
  7. Maintenance costing Processes
  8. Understand the potential role of maintenance and asset management within the premise of Industry 4.0
  9. 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

  1. Introduction to the concept of “System” as applied to Maintenance
  2. Critical relationship between systems and organisations
  3. Exploring a Model Maintenance system
  4. Maintenance Option selection, Planning and Scheduling Processes
  5. Issues of controlling the Maintenance management System
  6. Maintenance Spares and Logistics Processes
  7. Maintenance costing Processes
  8. Understand the potential role of maintenance and asset management within the premise of Industry 4.0
  9. 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
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
Lectures 35
Project supervision 50
Tutorials 5
Independent study hours
Independent study 60

Teaching staff

Staff member Role
Akilu Kaltungo Unit coordinator

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