SHE Level 4
SCQF Credit Points 10.00
ECTS Credit Points 5.00
Module Code MHH124816
Module Leader Phil Hyde
School School of Computing, Engineering and Built Environment
Subject Mechanical Engineering
  • A (September start)

Summary of Content

The module is designed to equip the student with modelling skills that will develop the ability to analyse and review complex engineering systems and understand the theoretical underpinning of the formulation of engineering systems and gain competency in the use of simulation language and the use of an industrial standard visual interactive simulation software package. The percentage of Work Based Learning for this module, as represented by the Independent Learning "Activity Type", is 63%. The percentage of Work Based Assessment for this module is 50%, which is represented by 50% of Coursework 1.


The nature and purpose of simulation. How organisations can use simulation to solve manufacturing management problems and why it is often far more suitable than other analytical methods. Typical applications and case studies. Sampling and distributions, generation of random numbers and standard theoretical distributions. Approaches to model building. This will include graphical representation of a system through the use of interactive software. Verification and validation of the system under construction. Simulation methodology.

Learning Outcomes

On completion of this module the student should be able to:- critically analyse and review complex engineering systems for consideration of potential change including queuing systems, manufacturing systems and general systems applied to engineering and industry in both public and private sectors- demonstrate an understanding of the role of simulation and the types of applications to which the simulation approach can be applied- critically analyse output from models and evaluate performance characteristics- build and use visual interactive simulation models for solving complex engineering and manufacturingmanagement problems- verify and validate simulation models- understand the process of random numbers distribution- use a visual interactive simulation package

Teaching / Learning Strategy

The module will consist of lectures, practicals and tutorials. The lectures will cover the more theoretical aspects whereas the practicals will be mainly computer based using visual interactive simulation software. It will be taught from a problems and applications driven perspective which will assist decision making. Computer models and systems in the form of visual interactive simulation will be a major component. Tutorials will be based on class exercises which reflect theoretical issues. Students will study and solve real world engineering problems encouraging divergent thinking and broader, deeper learning. The students will be encouraged to reflect upon the theoretical learning within the work place and the application of newly learned concepts to the work environment. The assessment of the students will involve a coursework building and testing a simulation model and writing a report. Work Based Education aims to maximise the direct and digitally mediated contact time with students by practicing teaching and learning strategies that use authentic work based scenarios and encourage action learning, enquiry based learning, problem based learning and peer learning. All these approaches aim to directly involve the students in the process of learning and to encourage sharing of learning between students. The module team will determine the level and accuracy of knowledge acquisition at key points in the delivery, inputting when necessary either directly or with the support of external experts who will add to the authenticity, the credibility and application of the education and learning to the workplace.

Indicative Reading

Law, Simulation Modelling and Analysis, McGraw_Hill 2007 Pidd, M, Computer Simulation in Management Science, Wiley, 2004 Carrie, A, Simulation in Manufacturing Systems, Wiley, 1998

Transferrable Skills

Specialist knowledge and application. Critical thinking and problem solving. Critical analysis. Communication skills, written, oral and listening. Computer literacy. Creativity, innovation & independent thinking. Ability to prioritise tasks and time management (organising and planning work).

Module Structure

Activity Total Hours
Assessment (FT) 10.00
Practicals (FT) 27.00
Independent Learning (FT) 63.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 1 n/a 100.00 40% Major modelling and Report