Introduction to Industry 4.0

 

Overview

This course offers a foundational overview and hands-on experience with the technologies of Industry 4.0—the Fourth Industrial Revolution. Participants will begin by exploring patterns and lessons from previous industrial revolutions to better understand the context and challenges of Industry 4.0. The course then transitions into discussions around I4.0 technologies—such as sensors, data analytics, and automation—and how these technologies interconnect to enable digital transformation. Cultural considerations and change management strategies for implementing I4.0 in foundries will also be addressed.

Learning outcomes

  • Understand the historical context and evolution of industrial revolutions leading up to the emergence of Industry 4.0 
  • Identify and describe key technologies that define Industry 4.0 including IoT, cyber-physical systems, big data, collaborative robots, simulation, digital twins, artificial intelligence and machine learning
  • Understand the relationship and interdependence of many of these key technologies to each other
  • Recognize the patterns and challenges associated with implementing Industry 4.0 within manufacturing 
  • Understand the cultural and change management processes needed for successful digital transformation
  • Develop hands-on technical skills including setting up a Raspberry Pi with a basic sensor to collect real-world industrial data and using cloud-based analytics platforms to help process, visualize, and analyze data 

Course Length

2.0 days

CEU Units

1.10 CEU

Course outline

Module One: Raspberry Pi Data Collect Introduction
  • What is a sensor and how is data collected?
  • Introduction to Raspberry Pi operating system
  • Use Raspberry Pi to capture air temperatureData Analysis of collected data 
Module Two: Concepts of Industrial Revolutions and Definitions of Industry 4.0
  • Defining 1st, 2nd, and 3rd Industrial Revolutions
  • The Building Blocks of Industrial Revolutions
  • People’s Reactions to Technologies 
Module Three: Overview of Industry 4.0 Technologies
  • Multiple frameworks
  • Define and Detail the Technologies Associated with Industry 4.0 
Module Four: Cultural Impact of Industry 4.0
  • Implementation: Culture and People 
Module Five: Raspberry Pi and Google CoLab Data Collect Advanced and Analysis
  • Utilizing Coding Languages to Process and Visualize Data
  • Activity One: Visualizing Data 
  • Activity Two: Complicating Data  
    • Using data collected to show the impact of noisy data, and how to clean data in scripting languages