Course Title: Manufacturing Systems Modelling

Part A: Course Overview

Course Title: Manufacturing Systems Modelling

Credit Points: 12.00

Important Information:

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 


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


Bundoora Campus


172H School of Engineering


Sem 2 2018,
Sem 2 2019,
Sem 2 2020,
Sem 2 2021,
Sem 2 2022


City Campus


172H School of Engineering


Sem 2 2022

Course Coordinator: Dr. Ben Cheng

Course Coordinator Phone: +61 3 9925 6009

Course Coordinator Email:

Course Coordinator Location: 251.3.17

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 a statistical simulation package will be covered. 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

This course will be run in a flipped learning mode. Learning activities include lectorials (lecture-tutorial), assignments, online timed assessment, exercises, and projects. Key concepts and principles will be explained and illustrated in lecture recordings and lectorial sessions. Students will practice with computer software packages during the lectorial sessions. It is vital that you keep up-to-date with all learning activities. Details and submission deadlines on the assessment components will be announced on Canvas. 

Overview of Learning Resources

Course information and learning materials are on Canvas 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 software packages on RMIT MyDesktop 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

 This course has no hurdle requirements.


Assessment item #1: Assignments 1 and 2
Weighting of final grade:  16%     
Related course learning outcomes: 2.

Assessment item #2: Midterm online timed assessment
Weighting of final grade: 34%      
Related course learning outcomes: 2.

Assessment item #3: Exercises
Weighting of final grade: 16%
Related course learning outcomes: 1

Assessment item #4: Projects A and B
Weighting of final grade: 34%
Related course learning outcomes: 1