Live Online Masterclasses

Industry 4.0 Technology & Data: Digital Manufacturing in the Factory of the Future

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Overview Agenda Meet the Tutor Who Should Attend? Benefits Book

Masterclass Overview

Discover how smart manufacturing technology can be applied within your enterprise to improve performance, quality, efficiency and productivity. In this course led by Professor Erwin Rauch, you will explore new opportunities for business growth through digital manufacturing and learn how to prepare your company for the game-changing potential of Industry 4.0 and the Factory of the Future. Real-world industrial case studies and examples are presented throughout to demonstrate how Industry 4.0 is being implemented by leading companies.

* Collaborative and Autonomous Robotics
* Digital Twins and Simulation
* Artificial Intelligence & Machine Learning
* Augmented, Virtual & Mixed Reality
* Data Integration & Industrial IoT
* Upgrading legacy systems to Industry 4.0

Day 1 (half-day)
Day 2 (half-day)
Day 3 (half-day)

Day 1 (half-day)

Identify the strategic opportunities and challenges that Industry 4.0 presents for your firm and examine the essential elements of flexible automation and advanced robotics in the Factory of the Future.

Learn about the key technologies and future trends in Industry 4.0
Discover practical applications of autonomous robotics and perception technologies
Explore an in-depth industrial case study on flexible human-robot collaboration
Join your peers in a group breakout exercise to examine how flexible automation can be applied within your company

Day 2 (half-day)

Learn how digital manufacturing and simulation tools can be applied to drive improvements in factory efficiency. Understand the critical elements of data integration, connectivity and interoperability when implementing smart manufacturing solutions.

Discover how Digital Twins and Digital Factory Planning can benefit your organization
Hear about industrial uses of Virtual, Augmented and Mixed Reality in the Factory of the Future
Achieve effective vertical data integration from ERP to machine-level
Explore a case study on upgrading legacy-based factories with Industry 4.0 technologies and join your peers in a group exercise to discuss the applications of Industrial IoT within your business

Day 3 (half-day)

Unlock the enormous potential of artificial intelligence and data-driven innovation for more agile and efficient manufacturing. Leverage the power of Big Data Analytics to transform manufacturing performance.

Explore the potential of Multi-Sensor Data Fusion and Data Lakes
Learn about Cognitive Manufacturing with A.I. and the critical role of Explainable A.I.
Discuss the optimal applications of A.I. for your company during a guided group exercise with peers
Take an in-depth look at an industrial case study on automated in-process quality inspection using A.I. and computer vision

"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

"The course took away the mystery surrounding Industry 4.0." -- Director Advanced Operations, Stryker

“Good balance of understanding the landscape of what is possible/cutting edge and discussions on the current state of businesses with opportunities to move forward.” -- Global Director Quality, SMART Factory, Kohler Co.

This course will drill-down into Industry 4.0 technologies and their applications

Masterclass Agenda

Day 1 (half-day)
Click to expand

Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Section 1 – Smart Manufacturing and Industry 4.0

2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):

Introductions and group discussion

2.15pm (UK time)/3.15pm (Central Europe time)/9.15am (US Eastern time):

Session 1 – Industry 4.0: Vision, Opportunities and Challenges

Industry 4.0 and the fourth industrial revolution
Opportunities and challenges
Key technologies
Advances in Additive Manufacturing technology
Future trends in Industry 4.0

Section 2 – Flexible Automation and Robotics

2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):

Session 2 – Advanced Robotics and Automation

Collaborative Robots in Manufacturing
Autonomous Robotics
Perception Technologies
Applications of Advanced Robotics

Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)

4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):

Session 3 – Industrial Case Study: Collaborative Robotics

The problem: Dependence on manual, non-ergonomic work in the automotive industry
The solution: Development of an assembly workstation for flexible human-robot collaboration
Outcome and business benefits

4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):

Session 4 – Group Breakout Exercise #1

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
The 3 highest potential applications of flexible automation in your company
Presentation of results and discussion of opportunities and challenges

End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)

Day 2 (half-day)
Click to expand

Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Section 3 – Digital and Virtual Manufacturing

2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):

Session 5 – Virtual Manufacturing and Simulation

Digital Twin and Digital Shadow
Benefits of Digital Factory Planning
The Role of Simulation in Digital Manufacturing
Industrial uses of Virtual, Augmented and Mixed Reality

2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):

Session 6 – Data Integration and Industrial IoT

Vertical Data Integration from ERP to Machine Level
The role of Manufacturing Execution Systems (MES)
Industrial Internet of Things
Connectivity and Interoperability
Upgrading legacy systems to Industry 4.0

Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)

4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):

Session 7 – Industrial Case Study: Upgrading a legacy-based factory with Industry 4.0 Technologies

The Problem: The challenge of introducing smart manufacturing into a legacy-based factory
The Solution: Implementation of Industrial IoT in process manufacturing
Outcome and business benefits

4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):

Session 8 – Group Breakout Exercise #2

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
How to take advantage of Virtual and Augmented Reality and the potential applications of IIoT within your company
Presentation of results and discussion of the opportunities and challenges

End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)

Day 3 (half-day)
Click to expand

Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Section 4 – Artificial Intelligence and Data-driven Innovation

2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):

Session 9 – Big Data Analytics

Big Data – The New Gold
Multi-Sensor Data Fusion and Data Lakes
Big Data Analytics and Process Mining
Applications of Big Data Analytics in Manufacturing

2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):

Session 10 – Artificial Intelligence in Manufacturing

New developments in Artificial Intelligence and the importance of Explainable A.I.
Key differences between Machine Learning and Deep Learning
Cognitive Manufacturing with A.I.
Applications of A.I. in Manufacturing

Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)

4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):

Session 11 – Industrial Case Study: Application of A.I. for enhanced Quality Control

The Problem: Managing complex quality control in high-volume manufacturing processes
The Solution: Automated and in-process quality inspection with A.I. and computer vision
Outcome and business benefits

4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):

Session 12 – Group Breakout Exercise #3

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
The 3 highest potential applications of A.I. within your company
Presentation of results and discussion of opportunities and challenges

End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)

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"I enjoyed the overview of what is happening in industry and the breakout sessions to talk through ideas from a varied viewpoint. The format worked very well and was easy to accommodate." -- Engineering Lead, Abbott

"Excellent overview of what exists today and its application within the manufacturing industry." -- Manufacturing Director, Electrolux

"Very good introduction to Industry 4.0 and the implementation process." -- Operations Director, Personna International

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

Meet the 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.

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Accelerate your digital transformation:

Join interactive discussions in a peer-to-peer learning environment during 10.5 hours of live online training

Benchmark your organization’s Industry 4.0 technology readiness levels

Benefit from real-world and aspirational industry case studies

Learn about the key Industry 4.0 technologies that are transforming manufacturing agility and performance

Gain insights from peers across different manufacturing industries during the guided group breakout exercises

Take away practical ideas to test and implement in your own digital transformation

Benefits to you of attending this Digital Manufacturing Live Online Masterclass

Industry 4.0 and Flexible Automation
Digital Manufacturing and Data Integration
Artificial Intelligence and Data-driven Innovation

Industry 4.0 and Flexible Automation

* Highly practical and interactive in nature with industry case studies, peer group discussions and break-out exercises throughout the course.

* Identify the strategic opportunities and challenges that Industry 4.0 presents for your company and the benefits of smart manufacturing technology.

* Learn about new advances in Additive Manufacturing technology and its industrial applications.

* Find out how collaborative and autonomous robotics and perception technologies can be applied to increase productivity across your manufacturing operations.

* Explore an in-depth industrial case study on the transition to and benefits of flexible human-robot collaboration

Digital Manufacturing and Data Integration

* Discover how Digital Twins and Digital Factory Planning can be used to optimise your manufacturing, engineering and design environments.

* Explore the benefits of simulation in digital manufacturing and optimal industrial uses of Virtual, Augmented and Mixed Reality.

* Find out how to ensure effective vertical data integration from ERP to machine level.

* Discuss the critical elements of data and IT/OT integration, connectivity and interoperability when implementing new smart manufacturing technologies.

* In-depth case study – learn about the challenges and solutions when upgrading a legacy-based factory with new Industry 4.0 technologies.

Artificial Intelligence and Data-driven Innovation

* Unlock the enormous potential of artificial intelligence, machine learning and deep learning for more agile and efficient manufacturing.

* Leverage the power of Big Data Analytics for enhanced visibility and responsiveness across your manufacturing operations.

* Learn about the role of Multi-Sensor Data Fusion and Data Lakes.

* Explore the potential of Cognitive Manufacturing with A.I.

* Discuss optimal applications of A.I. in manufacturing, including an in-depth case study on A.I. and computer vision for automated in-process quality inspection.

"Good summary of current status and trends – the breakouts were especially good to discuss other companies progress and challenges. To get the benefits, companies should start planning and implementation ASAP." -- Operations Director, Detection Technology

"Great job on organisation, presentations and selection of participants - I would gladly join again." -- Global Head of Quality & Continuous Improvement, ABB

“Enjoyed the course and content. I found the structure of the training and the take-away planning tools extremely useful.” -- Operations Industrial Manager, Safran

Who should attend?

This training course is developed for business and technology leaders, Directors, strategic decision-makers and senior managers within manufacturing, engineering and design with responsibility for Industry 4.0 implementation and digital transformation.

It provides an overview of a game-changing paradigm aimed at securing leadership in the emerging technologies and services that will create high-quality manufacturing businesses and enhance their global competitiveness in creating the smart factories, products and services of the future.