Course Title: Manufacturing Systems Modelling

Part A: Course Overview

Course Title: Manufacturing Systems Modelling

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


Bundoora Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2006,
Sem 1 2007,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 2 2016

Course Coordinator: Dr Peter Stasinopoulos

Course Coordinator Phone: +61 3 9925 5409

Course Coordinator Email:

Course Coordinator Location: 57.3.36

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

You will learn the basic concepts of discrete-event simulation.  Monte-Carlo sampling, event interactions and time tracking, using the statistical simulation package ARENA will be covered.  A strong working knowledge of ARENA will be used.  Additionally, you will be introduced to the theory of queuing systems, develop mathematical models of simple queuing systems, study single and multiple-channel systems including finite population queue systems.

Objectives/Learning Outcomes/Capability Development


This course contributes to the development of the following Program Learning Outcomes:

1 Knowledge and Skill Base

1.1. Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

1.3. In-depth understanding of specialist bodies of knowledge within the engineering discipline.

2 Engineering Application Ability

2.2. Fluent application of engineering techniques, tools and resources.

Course Learning Outcomes (CLOs)

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

  1. Apply decision theory to manufacturing processes and planning
  2. Analyse manufacturing processes using linear programming, queuing theory and discrete-event simulation.

Overview of Learning Activities

Learning activities throughout the course include lectures and tutorials. This course will be run in the face-to-face based learning mode. It includes lectures and tutorial. The key concepts and principles will be explained and illustrated in lecturers. Students will practice with computer software package during the tutorial.  

Overview of Learning Resources

Course information and learning materials are in the Learning Hub (myRMIT) and you may be provided with additional materials in class. Lists of relevant reference books and digitalised materials at RMIT libraries will be available as well. You will also use equipment and software packages in the laboratory for the project work.  During the course, students will be directed to many websites to enhance your knowledge and understanding of difficult concepts.

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 #1: Exercises
Weighting of final grade: 15%      
Related course learning outcomes: 1.
Description: Exercises for Arena simulation


Assessment item #2: Projects A and B
Weighting of final grade:  35%     
Related course learning outcomes: 1.
Description: 2 Projects using Arena simulation


Assessment item #3: Assignments 1 and 2
Weighting of final grade:  25%     
Related course learning outcomes: 2.
Description: 2 Assignments on Linear Programming and Transportation respectively


Assessment item #4: Test
Weighting of final grade: 25%      
Related course learning outcomes: 2.
Description:  This is an assessment of your analytical abilities knowledge on Linear Programming and Transportation.