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Unit information: Smart Manufacturing Processes and Technologies in 2023/24

Unit name Smart Manufacturing Processes and Technologies
Unit code MENGM0065
Credit points 20
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Valero
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

None

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

School/department School of Civil, Aerospace and Design Engineering
Faculty Faculty of Engineering

Unit Information

Why is this unit important?

Smart Manufacturing epitomises the idea of connected, technology and data-driven factories that can provide the high levels of innovativeness and responsiveness required in today’s complex global market. Powered by the latest manufacturing processes(e.g. additive manufacturing, hybrid processes, etc.) and automation and digital technologies such as Big Data, Cyber-Physical Systems and the Internet of Things, smart manufacturing systems can improve the efficiency and effectiveness of how product and services are produced and delivered. This unit provides an overview of smart manufacturing advanced processes and technologies and teaches you how these can be organised coherently to deliver product and services in a sustainable, ethical, and economically viable manner.

How does this unit fit into your programme of study?

A good understanding of emerging and recent manufacturing technologies is critical for engineering leaders and those that wish to take managing roles in manufacturing enterprises. This unit allows you to have a good appreciation of the latest technologies enabling intelligent manufacturing and put that knowledge into the context of engineering with management.

Your learning on this unit

How will students, personally, be different as a result of the unit

You will be able to consider a new product and think about how you can use the latest in manufacturing technologies to make the product in an efficient and sustainable manner.

Learning Outcomes

  1. Define (knowledge) and describe (comprehension) modern manufacturing processes and the constituents of modern intelligent manufacturing including concepts such as cloud manufacturing, cyber physical systems, smart products, big data analytics, digital twins, internet of things and industrial internet of things, through-life engineering and other relevant topics.
  2. Analyse (analysis) a manufacturing scenario (with uncertainties) and choose (application) appropriate processes and the manufacturing system (automated or manual)for delivering the requirements of the scenario.
  3. Design (creativity) the elements of the manufacturing system and synthesise (synthesis) the elements as a team or individually to implement an intelligent manufacturing solution to the given scenario.
  4. Evaluate (evaluation) the performance of the proposed solution and present (communication) the results.

How you will learn

A blended learning approach will be used in this unit where concepts are delivered in a flipped framework, with videos and other e-learning material being available before problem classes. Other aspects are delivered as lectures and practical sessions using manufacturing simulation kits and 3D printers.

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative)

e-Assessment to test the knowledge and comprehension of the technologies and the interaction of the legal, ethical and sustainability requirements with the enabling technologies. Time limited multiple-choice quiz on Blackboard, single attempt with randomised questions from a question pool.

Tasks which count towards your unit mark (summative)

One group submission based on a project where the team is given a manufacturing scenario and they must design a system using the technologies covered in the unit to meet the production demands.

To evaluate the individual contribution to the group’s work, students will submit on an individual basis, a short form where they will describe what they have been responsible for/led on.

When assessment does not go to plan

Students having to resubmit their work will be given a manufacturing scenario and a partial solution to a system to meet the production requirements and asked to complete the design and provide critique in a technical submission.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. MENGM0065).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the University Workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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