| 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 |
| Pre-requisites |
EMAT10100 or equivalent |
| Co-requisites |
None |
| 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.
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]
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
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.
Supporting references:
