Essentials of Industry 4.0 and Smart Manufacturing

On-Demand: E-LEARNING COURSE

6 separately bookable modules

E-Learning Course Overview

This E-learning course is an on-demand program that provides a comprehensive overview of the transformative concepts of Industry 4.0 and Smart Manufacturing. Discover the key technologies that are shaping the future of manufacturing and driving improvements in productivity, quality, innovation, efficiency and customer experience.

Across 6 separately bookable modules you will explore the benefits of Industry 4.0 for your company and learn about the practical implementation opportunities and challenges it presents. Real-world industrial case studies and examples are presented throughout the course to demonstrate how Industry 4.0 is being implemented by leading companies. The convenient E-learning format enables you to undertake each course module at a time and pace that suits you (over a 90-day access period), with the ability to re-visit and repeat modules to consolidate your learning.

Course Modules

Module 1: Overview, Key Technologies and Future Trends of Industry 4.0 and Smart Manufacturing (60 minutes)
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This module introduces the fundamental concepts of Industry 4.0 and smart manufacturing. Learn about the opportunities and challenges that Industry 4.0 presents for manufacturers. Discover the key technologies that underpin Industry 4.0. Understand what the future of Industry 4.0 looks like and the implications for your company.

Part 1 – Industry 4.0 Introduction and Overview:

Introduction and background to Industry 4.0
Opportunities created by Industry 4.0
Challenges and barriers to introducing Industry 4.0
Introduction to Society 5.0

Part 2 – Overview of Key Technologies in Industry 4.0:

Collaborative Robotics
Additive Manufacturing
Simulation and Digital Twins
Virtual and Augmented Reality
Data Integration and Industrial Internet of Things
Cloud, Cyber Security and Big Data Analytics
Artificial Intelligence in Manufacturing

Part 3 – Future Trends in Industry 4.0:

Industry 4.0+ as the next level of Industry 4.0
Smart vs Intelligent Factory
Data and intelligence driven innovation
Biological Transformation in manufacturing
Future trends and the shift towards sustainable manufacturing

Watch this short demo video from Module 1

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Module 2: Flexible Manufacturing with Collaborative Robotics (60 minutes)
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This module introduces the concept of collaborative robotics and their role in flexible and autonomous smart manufacturing. Learn about the structure, benefits and challenges of collaborative robotics. Understand the industrial applications of perception technologies and smart robots. Explore a case study of the development of a collaborative robot solution in manufacturing and the business benefits achieved.

Part 1 – Introduction to Collaborative Robots:

Traditional vs. advanced and collaborative robots
Structure of collaborative robotic systems
Benefits, drivers and inhibitors of collaborative robots
Overview of collaborative robot sensor technology
Industrial applications of collaborative robots

Part 2 – Safety, Perception and Mobile Robotics:

Safety requirements in collaborative robotics
Perception technologies and smart robots
Industrial applications of perception technologies
Artificial Intelligence-based prediction of operator intentions
Overview of mobile robotics

Part 3 – Case Study of Flexible Automation using Collaborative Robotics:

Overview of industrial problem
Analysis of potential solution using collaborative robotics
Development stages of the collaborative robot
Outcome and business benefits of the final collaborative robot solution

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Module 3: Digital Twins and Simulation in Manufacturing (62 minutes)
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This module introduces the concepts of simulation technologies and Digital Twins and their role in digital manufacturing. Learn about the different levels and uses of simulation technologies (including Virtual Reality, Augmented Reality and Mixed Reality). Discover the requirements to develop and implement Digital Twins and their industrial applications. Explore the role of Building Information Modelling and Digital Twins in Factory Planning.

Part 1 – Simulation in Manufacturing:

Simulation across the product and production lifecycle
Levels of simulation in manufacturing and logistics (network, factory and process levels)
Application of Virtual Reality, Augmented Reality and Mixed Reality in manufacturing

Part 2 – Digital Twins in Manufacturing:

Digital Model, Digital Shadow and Digital Twin
Building a functional Digital Twin
Levels of Digital Twins (product/design level, machine level, factory level, supply chain level)
Typical elements for implementing Digital Twins
Industrial applications of Digital Twins

Part 3 – Building Information Modelling and Digital Twins in Factory Planning:

Building Information Modelling (BIM)
BIM vs Digital Twin in Production
Current integration Challenges

Watch this short demo video from Module 3

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Module 4: Digital Production and Shop Floor Management (60 minutes)
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This module provides an overview of the systems and data integration elements required to achieve seamless digital production and digital shop floor management. Understand the key components of vertical and horizontal data integration. Learn about the different categories and capabilities of Manufacturing Execution Systems. Discover the requirements to make the transition to digital shop floor management as part of your Industry 4.0 implementation strategy.

Part 1 – Vertical and Horizontal Data Integration:

Elements of horizontal and vertical data integration
Example of RFID for product tracking and tracing
Overview of enterprise to machine levels systems (ERP, PPC, APS, MES, process and machine level)

Part 2 – Manufacturing Execution Systems:

Introduction to Manufacturing Execution Systems (MES)
MES as a digital tool for production management
Interface between ERP and MES systems
MES functionalities (including shop floor scheduling, capacity management, order view, bottle neck view)
Categories of MES systems
Examples of different MES solutions available

Part 3 – Digital Shop Floor Management:

Typical tasks in shop floor management
Transitioning from a traditional lean approach to digital shop floor management
Requirements and key elements of digital shop floor management
Example of digital shop floor management software and solutions

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Module 5: Data Integration and Industrial Internet of Things (59 minutes)
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This module introduces Industrial IoT and data integration as critical elements of Industry 4.0 and smart manufacturing. Learn about key data analytics tools and techniques for your business. Discover the layers of Industrial IoT architecture and the considerations for systems connectivity and interoperability. Learn about the benefits of IoT gateways with edge computing capabilities.

Part 1 – Introduction to Data Analytics:

Overview of Big Data
Data analytics tools and techniques (data preparation, data analysis, data mining, machine learning, data visualisation)
Vertical data integration
Data integration as a basis for smart data analytics
Multi-sensor data fusion

Part 2 – Industrial Internet of Things:

Cyber-Physical Systems
Layers of Industrial IoT architecture
Connectivity and interoperability challenges in Industrial IoT
Retrofit devices and IoT gateways

Part 3 – Edge Computing and Cyber Security:

Three stages in Industrial IoT
Cyber security challenges and industry standards
Overview of edge computing (cloud, fog and edge computing explained)
IoT gateways with edge computing capabilities

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Module 6: Artificial Intelligence (A.I.) in Manufacturing (59 minutes)
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This module provides an overview of Artificial Intelligence technologies and their application in manufacturing as a core component of Industry 4.0. Understand the different classifications of A.I. technologies and their role in cognitive manufacturing. Learn about fundamental machine learning and deep learning techniques. Explore real-world applications of A.I. in smart manufacturing.

Part 1 – Introduction to Artificial Intelligence:

Examples of A.I. uses in different industries
A.I. as an enabler of cognitive manufacturing
Classification of A.I. technologies

Part 2 – Overview of A.I. Technologies:

Difference between A.I., Machine Learning and Deep Learning
Overview of Machine Learning techniques (supervised learning, unsupervised learning and reinforcement learning)
Introduction to Deep Learning and Convolutional Neural Networks (CNN)
The role of Explainable A.I.

Part 3 – Examples of A.I. Applications in Manufacturing:

Fields of application of A.I. in manufacturing
Training of collaborative robots for sorting parts
Computer vision based A.I. for quality inspection
A.I. training and data mining
Increasing Enterprise Resource Planning efficiency using A.I.

Watch this short demo video from Module 6

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Benefits of E-learning:

Choose when you learn - complete the course modules at a time that works best for you.

Go at your own pace – with the opportunity to stop, re-start and repeat course modules to consolidate your learning as required.

Extended access – you will receive 90-days access to the course module giving you plenty of time to take full advantage of this valuable training resource.

Learn from the best – our Course Tutors are handpicked leading industry experts with extensive practical experience in their fields of expertise.

Engaging content reinforces your learning experience – each module comprises comprehensive course slides and tutor video with the focus on how the concepts presented can be practically applied within your business.

Flexible purchase options – with individually bookable course modules you can build the training package tailored to your personal learning and development requirements.

Portraits of professors and reasearchers (unibz) Portrait of Erwin Rauch

Meet the Course Tutor:

Professor Erwin Rauch

Professor Erwin Rauch is an Endowed Professor for Smart and Sustainable Manufacturing at the Free University of Bolzano (Italy) and has more than 10 years of professional experience in industrial consulting. He is Head of the Smart Mini Factory Laboratory for Industry 4.0 and Head of the Sustainable Manufacturing Laboratory, as well as a member of the Scientific Advisory Board of Fraunhofer Italia. Erwin is a leading expert on Industry 4.0, Smart and Sustainable Production Systems, and Digital Manufacturing, and is one of the top 3 authors with the most scientific publications on Industry 4.0.

Watch this video for a quick overview of the e-learning course modules available:

Who should enrol for this E-learning course?

This E-learning course is developed for business and technology executives within manufacturing, engineering, operations and design who require a comprehensive overview of Industry 4.0 and the opportunities it presents to drive improvements in productivity, quality, innovation, flexibility and customer experience.

The course covers the fundamental concepts and technologies of Industry 4.0 that are creating high-quality manufacturing businesses and enhancing their global competitiveness by developing the smart factories, products and services of the future.

The modules will drill-down into Industry 4.0 technologies and their applications

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"The course took away the mystery surrounding Industry 4.0."

Director Advanced Operations, Stryker

"I found the organisation of the material and the foundational information on which this topic builds very helpful in putting the big picture in context."

Global Director Quality, Kohler Co.

"The presentations had excellent content. The real-world experience and predictions of where the industry is going, as well as how these tools are actually used today, was most useful."

Smart Factory Manager, Greene Tweed

“A very comprehensive summary of smart manufacturing with examples of use cases.”

IT P&S Solution Consultant, Syngenta Crop Protection

“A great recipe to build your Industry 4.0 roadmap.”

Director Engineering & Technology, Catalent

“Excellent overview of what exists today and its application within the manufacturing industry.”

Manufacturing Director, Electrolux

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