Course Title: System Simulation and Characterisation

Part A: Course Overview

Course Title: System Simulation and Characterisation

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MANU2128

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Distance / Correspondence or Face-to-Face

Sem 1 2011

MANU2128

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Distance / Correspondence or Face-to-Face or Internet

Sem 1 2007,
Sem 2 2007,
Sem 1 2008,
Sem 2 2008,
Sem 1 2009,
Sem 2 2010,
Sem 1 2014

MANU2128

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

Sem 1 2015

MANU2128

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Internet

Sem 2 2012

Course Coordinator: Dr. Arun Kumar

Course Coordinator Phone: +61 3 9925 4328

Course Coordinator Email: a.kumar@rmit.edu.au

Course Coordinator Location: 57.03.020

Course Coordinator Availability: Monday 1:00 to 3:00 pm


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

 

This course examines a variety of computer simulation and modelling techniques utilised in industrial and business environments, including: Discrete system simulation, Probability and Modelling concepts, Queuing theory and Manufacturing applications. Simulation applications in a number of areas are studied, such as: Computer and Network modelling, Industrial simulation, Facilities planning, and Queuing systems.

You will gain hands-on experience in formulating, programming, and running computer simulations utilising ARENA software. A number of case studies are examined. Furthermore the course aims to train the students with hands-on experiences using a simulation software tool.

Topics include systems, entities, resources, control elements and operations, simulation runs, entity states, and entity lists. By doing system simulation you will be able to effectively integrate related operational, technical and design parameters into a system configuration. The simulation and modelling activities are directed to validate and verify that the final product satisfies customer needs and constraints. You will also gain better understanding about system interfaces and control management. 


Objectives/Learning Outcomes/Capability Development

 

This course contributes to the following program learning outcomes:

2. Problem Solving and Design

  • Develop creative and innovative solutions to engineering problems

3. Analysis

  • Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities
  • Apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.

4. Professional Practice

  • Initiate, plan, lead or manage engineering activities
  • Communicate in a variety of different ways to collaborate with other people, including accurate listening, reading and comprehension, based on dialogue when appropriate, taking into account the knowledge, expectations, requirements, interests, terminology and language of the intended audience


Course Learning Outcomes (CLOs) 

 

Upon successful completion of this course you should be able to:

  1. Characterise a system in terms of its essential elements, that is, its purpose, stakeholders, constraints, performance requirements, sub-systems, interconnections and environmental context.
  2. Conceptualise real world situations related to systems development decisions, originating from source requirements and goals.
  3. Apply the processes, procedures and techniques which are required for the successful execution of systems engineering methodology to resolve different types of complex problems faced by senior manager, at an earlier stage of system design. These problems may relate to system specification, requirements allocation, maintenance concepts, and critical issue resolution.
  4. Use common simulation software packages to construct and execute goal-driven system models
  5. Develop structured walkthroughs of a typical product and process engineering problem.
  6. Create system reports and system specification documents.
  7. Interpret the model and apply the results to resolve critical issues in a real world environment.
  8. Design and analyse control mechanism and management function to ensure that the system achieves its purpose


Overview of Learning Activities

Lectures, computer modelling, presentations, group discussions, assignments and case studies


Overview of Learning Resources

A detailed study guide is provided to assist learning and provide insights into key concepts. It provides detailed references to the prescribed texts.


Overview of Assessment

 

X This course has no hurdle requirements.

☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

 

Assessment item:  Assignment 1 (group or individual)
Weighting of final grade:  35%       
Related course learning outcomes:  1, 2, 3, 4, 7, 8
Description:  Select an industry based project, develop ARENA simulation model, and simulate the industrial system.

Assessment item:  Assignment 2 (group or individual)
Weighting of final grade:  25%       
Related course learning outcomes:  5, 6, 7
Description:  Based on the same industry problem you selected in assignment 1, you are to present a seminar and submit a report.

Assessment item:  Assignment 3 (individual)
Weighting of final grade:  40%       
Related course learning outcomes:  1 - 8
Description:  In Class Examination covering all the modules in the course.