Simon Fraser University
Engaging the World

Course Outlines

Fall 2022 - MSE 980 G100

Industry 4.0 (3)

Class Number: 7930

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 7 – Dec 6, 2022: Mon, 10:30–11:20 a.m.
    Surrey

    Sep 7 – Dec 6, 2022: Thu, 10:30 a.m.–12:20 p.m.
    Surrey

  • Prerequisites:

    Recommended Prerequisite: MSE 380 or equivalent.

Description

CALENDAR DESCRIPTION:

Industry 4.0 is the future of manufacturing which is driven by artificial intelligence, the Internet of Things, and the resulting digital transformation technologies such as digital twins. A digital twin is a virtual model of an industrial process, product, service or system across its life-cycle using real-time data to enable analysis, learning and reasoning. In the Industry 4.0 future, smart factories using additive manufacturing such as 3D printing and other computer-aided manufacturing systems are able to adaptively manufacture parts on demand, direct from digital twin designs. This course provides a comprehensive coverage on, among others, the role of data, manufacturing systems, various Industry 4.0 technologies, applications and case studies.

COURSE DETAILS:

The fourth industrial revolution known as Industry 4.0 is the extension of the third Industrial revolution where computer technologies introduced to manufacturing. The core of industry 4.0 is driven by data, information, and connectivity which allows for the creation of smart factories and enables digital manufacturing. This course introduces the fundamental concept of Industry 4.0 and its subsystems. In particular, this course covers topics such as advanced robotics, flexible and additive manufacturing systems, artificial intelligence (AI), Industrial Internet of Things (I-IoT), big data, and digital twins. Throughout examples and case studies, student will learn how the integration of Industry 4.0’s subsystems create smart factories that make manufacturing faster, more efficient, and more customer-centric.

  • Teaching and Learning Topics
  • Course Outline and Introduction
  • Fundamental Concepts, Case Studies, and Applications of Industry 4.0, Smart Manufacturing, and Cyber-physical Systems
  • Advanced Robotics and Industrial Automation
  • Artificial Intelligence and Machine Learning (ML)
  • Flexible and Additive Manufacturing Systems
  • Industrial Internet of Things
  • Big Data and Data Analytics
  • Cloud Computing
  • Virtual and Augmented Reality
  • Digital Twins and Simulation
  • System Integration

COURSE-LEVEL EDUCATIONAL GOALS:

By the end of this course, students should be able to:

  • Understand the fundamental concept of Industry 4.0 and digital manufacturing.
  • Be familiar with the subsystems of Industry 4.0.
  • Discover how I-IoT can bridge between physical and digital worlds to create cyber-physical systems.
  • Explore how Industry 4.0 will create smart manufacturing and factories.
  • Learn how the integration of Industry 4.0 subsystems can create faster and more efficient manufacturing systems which make businesses more competitive in global market.

Materials

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html