Introductory description

This module aims to provide the students with an understanding of key concepts and methodologies of modelling automated production systems, with particular emphasis on robotized manufacturing plants. Building on several Y2 and Y3 modules, it equips students with knowledge and skills to model a complex production system and study its properties, therefore preparing the ground for its control.
Examples and case studies span a number of dynamic systems based on discrete events, such as manufacturing, communications, traffic control, etc.
Students will furthermore be able to apply a simulation industrial tool to create simple simulation models that would allow them to generate experimental results that provide useful information for decision making.

This modules is linked with C2, C3, C4, C6 and C17 of the AHEP 4.

LO1 - C2, C4, C17

LO2 - C2, C3, C6, C17

LO3 - C2, C3, C6

LO4 - C6, C17

Module web page

Module aims

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.

• Introduction to Discrete Event Systems
• Automata
• Petri nets
• Data collection from production systems and data verification
• Basics of kinematic simulation for robotics and ergonomics modelling.
• Design experiments for simulation.
• Systematic analysis of simulation data.

Learning outcomes

By the end of the module, students should be able to:

• Demonstrate knowledge of the different modelling tools for a discrete-event system. [AHEP:4-C2, C4, C17]
• Apply mathematical and analytical skills to model and study discrete-event systems, with emphasis on manufacturing plants. [AHEP:4-C2, C3, C6, C17]
• Utilise simulation problem-solving methodologies and techniques to model complex problems of production systems. [AHEP:4-C2, C3, C6]
• Analyse the simulation results of several scenarios in order to design a future state that optimises aspects of the production system which may include the addition of new technologies. [AHEP:4-C6, C17]

Indicative reading list

Reading lists can be found in Talis

Specific reading list for the module

Subject specific skills

Skills from the ST0023 DA Standard:

• S3: Select the best method for collating and conveying complex information using a range of data sources and supporting documentation.
• S4: Interpret and produce technical documentation such as schematic diagrams, project plans, fault reports or data analytics using company documentation systems and guidelines.
• S5: Observe, record and draw accurate and auditable conclusions from data and/or developmental or test evidence.
• S9: Create a project or work programme plan and develop activities in a logical process embedding mechanisms for adapting to changing circumstances or requirements.
• S12: Identify areas for improvement and lead continuous improvement activities such as improving safety, quality, technology solutions, operational processes, training and development, equipment performance or cost key performance indicators (KPIs).

Transferable skills

• Problem Solving- Use rational and logical reasoning to deduce appropriate and well-reasoned conclusions. Retain an open mind, optimistic of finding solutions, thinking laterally and creatively to look beyond the obvious. Knows how to learn from failure.
• Critical Thinking- Recognise patterns, themes and key messages from sometimes confused and incomplete data. Make informed decisions on the value of a range of sources allowing an evidence based conclusion based on this analysis.
• Teamwork- Operate within, and contribute to, a respectful, supportive and cooperative group climate. Sensitive to the impact of actions on others.
• Information Literacy- Critical awareness of how information is gathered, used, managed and synthesised. Understanding of the relative value of different sources and the importance of provenance. The systematic collection, analysis and evaluation of information in the investigation of a topic.
• Communication - Written: Present arguments, knowledge and ideas, in a range of formats.