WM9H2-15 Smart Networked Manufacturing
Introductory description
This module investigates the relationship between intelligent technologies and the manufacturing system, and how these affect the performance of new business models for how products are made. Students will be encouraged to consider factors beyond the purely technical in areas such as business policy, information security and social impact. They will be encouraged to investigate the critical role that computer-based models have on both the design and operation of such systems and will build and use simulation models to explore this with practical work.
Module aims
To distinguish between the roles and responsibilities of manufacturing system engineers in conventional manufacturing and those in cyber-manufacturing. To provide a vision of the future evolution of manufacturing systems that are based on cyber-technologies and how these refocus the work of a manufacturing systems engineer to deliver effective cyber-manufacturing solutions.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Cyber-physical manufacturing systems;
Industry 4.0 concept;
Machine Intelligence;
Simulation and Analysis of Manufacturing Systems;
Information exchange and standardisation;
Cyber threats;
Collaborative manufacturing;
Human and social factors
Learning outcomes
By the end of the module, students should be able to:
- Distinguish between different levels of intelligent behaviour in Industry 4.0 and more general forms of cyber-manufacturing
- Evaluate the threats and potential impact of cyber-intrusions on cyber-manufacturing
- Evaluate the needs for behavioural models to support the design and maintenance of cyber-manufacturing networks
- Critically evaluate the role and effectiveness of information and communication standards in the domain of cyber-manufacturing
- Discuss the societal implications of cyber-manufacturing and its influence on organisational behaviour
Indicative reading list
Automation, production systems, and computer-integrated manufacturing / Mikell P. Groover, Pearson, 2019;
Foundations & principles of distributed manufacturing : elements of manufacturing networks, cyber-physical production systems and smart automation / Hermann Kühnle, Günter Bitsch, Springer, 2015;
Industrial internet of things : cybermanufacturing systems / Sabina Jaschke, Christian Brecher, Houbing Song, Danda B. Rawat, editors, Springer 2017;
Digital twin driven smart manufacturing / Fei Tao, Meng Zhang, A.Y.C. Nee Tao, Fei, Academic Press 2019
Subject specific skills
Ability to construct manufacturing models to simulate the behaviour of system designs;
statistical skills to analyse the output data from a stochastic model;
recognise and select appropriate devices to enable smart manufacturing capability.
Transferable skills
Apply a systems approach to tackling complex problems involving advanced technologies;
Gain a working knowledge and basic competence in using advanced technical information systems;
Continue to advance their knowledge and understanding, and to develop new skills to a high level;
the independent learning ability required for continuing professional development.
Study time
| Type | Required |
|---|---|
| Lectures | 12 sessions of 1 hour (8%) |
| Seminars | 3 sessions of 1 hour (2%) |
| Demonstrations | 4 sessions of 1 hour (3%) |
| Practical classes | 6 sessions of 1 hour 30 minutes (6%) |
| Supervised practical classes | 8 sessions of 1 hour 30 minutes (8%) |
| Online learning (independent) | 20 sessions of 30 minutes (7%) |
| Assessment | 100 hours (67%) |
| Total | 150 hours |
Private study description
No private study requirements defined for this module.
Costs
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Assessment group A
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Model-based comparison of conventional and cyber-manufacturing. | 10% | 10 hours | No |
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Use the modelling tools provided to develop a working simulation model for a given manufacturing problem and present your solution to the class. |
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Reassessment component |
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| Model-based comparison of conventional and cyber-manufacturing. | Yes (extension) | ||
|
Based on the literature, make an argument for postponing the adoption of a smart factory. |
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Assessment component |
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| Evaluation of a cyber-enabled manufacturing system | 10% | 10 hours | Yes (extension) |
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Using appropriate methods, identify the potential weaknesses of a cyber-manufacturing proposal and offer counter-measures to these, presenting this in a report or presentation to be submitted before the end of the module delivery. Assessment criteria will be provided for guidance. |
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Reassessment component is the same |
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Assessment component |
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| A Critical Assessment of the Implementation of Intelligent Technologies in Manufacturing Systems | 80% | 80 hours | Yes (extension) |
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Taking a broad view that covers the module content and meets learning outcomes 3, 4 and 5, assess the integration of intelligent technologies in manufacturing systems for the situation specified. |
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Reassessment component is the same |
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Feedback on assessment
For the in-module group presentation there will be verbal feedback at the time and a check-list.
For the individual written report on work done during the module there will be short written feedback and a check list that indicates the level of achievement.
There will be written feedback for the post module essay.
There is currently no information about the courses for which this module is core or optional.