Course Title: Industrial Manufacturing and Control System

Part A: Course Overview

Course Title: Industrial Manufacturing and Control System

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities.


Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

OENG1211

City Campus

Undergraduate

174T School of VE Engineering, Health & Science

Face-to-Face

Sem 1 2020,
Sem 1 2021

OENG1211

City Campus

Undergraduate

520T Future Technologies

Face-to-Face

Sem 1 2022,
Sem 1 2024

Course Coordinator: Dr Bishwajit Chowdhury

Course Coordinator Phone: +61 3 99258054

Course Coordinator Email: bishwajit.chowdhury@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

Nil


Course Description

This course introduces Industry 4.0 and its application to modern manufacturing and business, Internet of Things and cloud environment, Internet of systems, additive manufacturing, automation and robotics.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes (PLOs):

1.1   Descriptive, formula ­based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area.

1.2   Procedural­ level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area.

1.3   In depth practical knowledge and skills within specialist sub­disciplines of the practice area.

2.2  Application of technical and practical techniques, tools and resources to well defined engineering problems.


On completion of this course, you should be able to:   1. Explain the basic concepts of Industry 4.0 or latest technology and its impact on manufacturing 2. Define the principles of Internet of Things (IoT), cloud environment and its application to modern manufacturing needs of business 3. Demonstrate an understanding of the additive manufacturing practices 4. Configure and optimise automation systems, sensors, feedback and control 5. Demonstrate applications of automation systems, sensors, feedback and control 6. Demonstrate applications of Industry 4.0 technology into manufacturing

 


Overview of Learning Activities

Face to face teaching: to obtain an introduction to electrical fundamentals, electronic devices and circuits, and an introduction to application of these principles to basic problem solving.   Personal reading (e.g. prescribed sections of the textbook:  to reinforce/strengthen your understanding of principles and applications.   Test(s): assessed during semester. Solutions will be discussed in the class to provide you with the feedback that helps to improve the for final examination.   Simulation, Videos, Lab sessions: to understand the key concepts, practical applications, analyse results. You are encouraged to watch videos on special topics available in the RMIT library. The lab work/simulations allow you to develop skills in understanding the application of the concepts of Industry 4.0.   Problem based learning: practical problems given to solve both individually and in smaller groups to strengthen team-based learning.    

 


Overview of Learning Resources

Learning resources will consist of recommended references and class notes which may be accessed through CANVAS.  The set of references is deliberately broad, including books, journal publications, government reports, industry standards, handbooks, and web-based resources.


Overview of Assessment

This course has no hurdle requirements. 

Assessment 1: Manual mode functions for the component processing section 
Weighting towards final grade (%): 40
This task assesses the following learning outcomes:
CLO 4, 5, 6

Assessment 2: Project 2 - Condition monitoring application 
Weighting towards final grade (%): 40
This task assesses the following learning outcomes:
CLO 1, 2, 4, 5, 6

Assessment 3: Research assignment 
Weighting towards final grade (%): 20
This task assesses the following learning outcomes:
CLO 3, 6