The University of Southampton
Courses

## Module Overview

MANG2002 introduces simulation. An experimental technique, simulation is one the most widely used modelling techniques. This is because, unlike optimising techniques such as queuing theory, it requires few assumptions. As a result, analysts use it to solve a wide variety of complex real-life problems. It is very effective. For example, a quick look at the clients of the Simul8 corporation (http://www.simul8.com/) reveals a long and impressive list of organisations who apply simulation. Students who successfully complete MANG2002 acquire the practical skills needed to conduct a successful simulation project from scratch, and have a theoretical understanding that is essential for the effective use of this powerful decision-aiding tool. Specifically, students will acquire theoretical understanding of and develop practical modelling skills in using three types of simulation: (i) Monte Carlo simulation using the @risk program in MS Excel spreadsheets to model complex but static problems for which changes over time are not important such as inventory control, forecasting and decision analysis; (ii) Discrete Event Simulation using the Simul8 application to model the operational behaviour of systems with complex queues such as hospitals, airports and supermarkets; and (iii) System dynamics using the Stella application to model long-term, strategic problems such as the long term effects of government policy decisions on the health care system.

### Aims and Objectives

#### Module Aims

Simulation is arguably the most widely used Management Science technique and has a vast range of applications. This module provides you with a basic understanding of what is meant by simulation and of three key approaches: - Monte Carlo simulation using spreadsheets; - Discrete event simulation; - System dynamics.

#### Learning Outcomes

##### Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• the reasons for using the different types of simulation and have insight into the domains in which it can usefully be applied;
• how different simulation approaches relate to each other and to the broader concept of modelling and problem solving in Management Science.
##### Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• solve Monte Carlo and discrete event simulation problems using @Risk and Simul8, respectively;
• formulate system dynamics problems to solve qualitatively or quantitatively to understand how they are used and how they behave;
• experiment using the three different simulation approaches.
##### Transferable and Generic Skills

Having successfully completed this module you will be able to:

• use your analytic skills in problem solving;
• communicate technical ideas to non-specialist managers.
##### Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• use three different types of commercial simulation software: @Risk, Simul8 and Stella.

### Syllabus

- Monte Carlo Simulation. - Why simulation is so widely used. Dealing with risk, variability and uncertainty. Random numbers and sampling. Interpreting the results. - Discrete Event Simulation (DES). - Introduction to DES. Approaches to modelling. Developing simulation models using commercial software. Visual interactive modelling. - System Dynamics. - Deterministic simulation approach used for modelling systems with feedback. Examples include the flow of information in an organisation.

#### Special Features

The computer packages @risk, simul8 and Stella are used in the course of the module.

### Learning and Teaching

#### Teaching and learning methods

- 20 lectures. - 6 problem classes. - 4 computer workshops. - Independent computer work and study.

TypeHours
Tutorial12
Revision24
Lecture24
Preparation for scheduled sessions12
Total study time150

@risk. Software

Stella. Software

Simul8. Software

Oakshott, L. (1997). Business Modelling and Simulation.

Robinson, S. (2003). Simulation: The Practice of Model Development and Use.

Pidd, M. (2004). Computer Simulation in Management Science.

### Assessment

#### Formative

Class discussions

#### Summative

MethodPercentage contribution
Assessment  (2 hours) 60%
Coursework 40%

#### Repeat

MethodPercentage contribution
Assessment  (2 hours) 100%

#### Referral

MethodPercentage contribution
Assessment  (2 hours) 100%

#### Repeat Information

Repeat type: Internal & External

### Costs

#### Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

##### Textbooks

Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase the core/recommended text as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.