Course Title: Manufacturing Strategy and Planning

Part A: Course Overview

Course Title: Manufacturing Strategy and Planning

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2006,
Sem 1 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


172H School of Engineering


Sem 2 2017

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 fundamental issues, concepts, and design criteria in industry 4.0 (I4.0). The course will walk you through the I4.0 digital value chain using a bottom-up approach, starting from physical sensors to end-user dashboards on Cloud. Sensing hardware, communication stacks, middleware, and tool-kits utilised in I4.0 systems will be covered. Specifically, you will understand how the whole digitisation process can make a manufacturing line or a factory smart. You will learn the challenges in deploying practical I4.0 systems, including noise interference and security issues. Additionally, you will get hands-on experience by integrating sensing technologies, communication systems, and data visualisation tools to build your own I4.0 applications in this course.

Objectives/Learning Outcomes/Capability Development

This course contributes to 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. Understand the digital value chain and development strategy in I4.0.
  2. Apply data aggregation, processing, and visualisation techniques in I4.0 to manufacturing systems.
  3. Analyse and fine-tune I4.0 systems systematically.


Overview of Learning Activities

Learning activities throughout the course include lectures, tutorials, and practical sessions. This course will be conducted in the face-to-face based learning mode. Key concepts and principles will be explained and illustrated in lectures. You will practice with computer software packages and hardware in the practical sessions.

Overview of Learning Resources

Course information and learning materials are available on Canvas and you may be provided with additional materials in class. Lists of relevant reference books and digitised 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, you 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: Assignments  
Weighting of final grade:  40%
Related course learning outcomes: CLOs 1,2,3.


Assessment item #2: Test
Weighting of final grade: 25%       
Related course learning outcomes: CLOs 1,2.


Assessment item #3: Project
Weighting of final grade:  35%
Related course learning outcomes: CLOs 1,2,3.