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Unit information: Manufacturing Systems in 2018/19

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Unit name Manufacturing Systems
Unit code MENGM0032
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Professor. Aydin Nassehi
Open unit status Not open

EMAT10100 or equivalent



School/department Department of Mechanical Engineering
Faculty Faculty of Engineering


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

On successful engagement with the unit the participants should be able to:

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. [EL2, SM6m, EL7m]

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 [SM5m, P7, P8, P10m]

Create (synthesis) the required models and validate (evaluation) them [EA4b, EA6m]

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 [D4, D6, D8m]

Teaching details

22 hours of lectures with interactive elements in computer labs

11 hours of e-learning content comprising videos on threshold concepts and short quizzes with formative feedback

Assessment Details

Formative assessment using weekly quizzes on Blackboard.

Summative assessment using a single coursework assignment. The coursework assignment would require students to submit three models of manufacturing systems (A linear or integer programming model, a discrete events simulation model using general tools such as MATLAB and a discrete events or agent based simulation model using dedicated software packages such as SIMIO or ANYLOGIC) and a 2000 word discussion on the results generated from solving or simulating the models. The assignment will be handed out in Week 13 and students can start in Week 14 and progress continuously through the teaching block.

Reading and References

  • Kelton, W.D., Smith, J.S. & Sturrock, D.T., Simio' & Simulation: Modeling, Analysis, Applications: Economy. (2014), 3rd ed., CreateSpace Independent Publishing Platform. ISBN-10: 149361620x. ISBN-13: 9781493616206. - Recommended

Supporting references:

  • Brandimarte, P. & Villa, A., Advanced Models for Manufacturing Systems Management (Mathematical Modeling). (1995), 1st ed., CRC Press. ISBN-10: 0849383323. ISBN-13: 9780849383328.
  • Taha, H.A., Operations Research: An Introduction. (2017), 10th ed., Pearson. ISBN-10: 1292165545. ISBN-13: 9781292165547.
  • Pooch, U.W. & Wall, J.A., Discrete Event Simulation: A Practical Approach (Computer Science & Engineering). (1993), 1st ed., CRC Press. ISBN-10: 0849371740. ISBN-13: 9780849371745.
  • Borshchev, A., The Big Book of Simulation Modeling: Multimethod Modeling with 'AnyLogic' 6. (2013), AnyLogic North America. ISBN-10: 0989573176. ISBN-13: 9780989573177.