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Unit information: Product and Production Systems in 2020/21

Unit name Product and Production Systems
Unit code MENGM0056
Credit points 20
Level of study M/7
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Professor. Aydin Nassehi
Open unit status Not open

EMAT20200 Engineering Mathematics 2



School/department Department of Mechanical Engineering
Faculty Faculty of Engineering


The unit provides the opportunity for students to practise the most current industrial Product Development and Production System Design techniques in an integrated stimulating and dynamic learning environment. The unit will highlight the importance of the virtual prototyping for complex engineering and bio-inspired product development in the context of product lifecycle management (PLM) and through-life engineering services (TES). The unit covers design for machining and CNC machine tools, process planning for machining leading to virtual machining techniques (CAM). This unit provides a broad range of skills for students to analyse complex value adding systems such as manufacturing and service provision systems by identifying their key elements and performance metrics, determining the effect of potential changes to the system and recommending changes that would result in sustainable and significant improvements.

Intended learning outcomes

Upon successful completion of the unit, students will be able to:

1. Identify (knowledge) the key elements in a value generating system and select (knowledge) appropriate performance indicators and use these for assessing (evaluation) the functional properties of the system.
2. Design and optimise a mechanical product, from concept to full digital prototype, in an integrated Product Lifecycle Management environment.
3. Draw, manipulate and analyse advanced engineering curves including splines and Bezier curves using a Computer Aided Design system.
4. Create a machining process plan for a part and perform virtual machining of the product based on this using a Computer Aided Manufacturing system.
5. Select (knowledge) the appropriate modelling technique to improve (synthesis) a given aspect of performance in a manufacturing system considering uncertainties, risk, quality issues and constraints.
6. Create (synthesis) the required models and validate (evaluation) them.
7. Apply (application) simulation analysis (analysis) methods to the models to measure (evaluation) performance and investigate (analysis) the behaviour of the system and interpret (comprehension) the results.

Teaching details

Learning material including videos, notes and narrated lectures will be made available to the students support by online and, where possible, face to face interactions for problem solving activities.

Assessment Details

Single coursework assessing all learning outcomes.

Reading and References

  • Borshchev, A., The Big Book of Simulation Modeling: Multimethod Modeling with 'AnyLogic' 6. (2013), AnyLogic North America. ISBN-10: 0989573176. ISBN-13: 9780989573177.
  • Taha, H.A., Operations Research: An Introduction. (2017), 10th ed., Pearson. ISBN-10: 1292165545. ISBN-13: 9781292165547.
  • Brandimarte, P. & Villa, A., Advanced Models for Manufacturing Systems Management (Mathematical Modeling). (1995), 1st ed., CRC Press. ISBN-10: 0849383323. ISBN-13: 9780849383328.
  • Magrab, E.B., Gupta, S.K., McCluskey, F.P. and Sandborn, P., 2009. Integrated product and process design and development: the product realization process. CRC Press.
  • Immonen, A. and Saaksvuori, A., 2013. Product lifecycle management. Springer Science & Business Media.