Reiner Anderl

Industrie 4.0 – Moving Towards Smart Product and Smart Factories

  • Integrating computation, networking and physical processes through Cyber-Physical Systems (CPS)
  • Understanding the Internet of Things, Internet of Services and Internet of Data and their respective implications on data capture, product waste and cost
  • Component Data Models in supporting the engineering of systems through definition and format of data
  • What are the business opportunities of full Industrie 4.0 deployment?

Ulrich Sendler

The Role of PLM in Supporting the Next Industrial Revolution - The IoT & Industrie 4.0

The 'IoT' and 'Industrie 4.0' are both buzz words being thrown around at the moment and being heralded as the next big things for manufacturing; they are. But what people forget is that in preparing for their integration into existing processes, it is not only a question of what are the best big data solutions needed to capture the influx of all of the new types and amounts of data, but what is the role of PLM in facilitating the development and management of smart products.

  • What does the current structured PLM model look like in terms of data?
  • What does the IoT and Industrie 4.0 mean for the types and volumes of data that will be captured?
  • How will PLM platforms deal with this new data?
  • How vital is structured PLM in making use of the billions of new unstructured data from the world around us?
  • Exploring the importance of systems engineering in the development, production and change management of the smart, connected products of the future  

Georg Borges

Regulating Industrie 4.0

In the digitalised industry, data and innovative technologies are key to produce customised products and offer new services. Today, many manufacturers are already using digital technologies and are re-inventing the way they think and conduct business. Although the technological possibilities appear unlimited the digital transformation will only be a success if companies, investors and customers have sufficient confidence in a connected world with systems that act independently and anonymously.

While the development of legal frameworks for Industrie 4.0 in Europe is still at an early stage it is time to act fast not to lose the momentum. Therefore, Georg puts the regulatory frameworks for a digital economy to the test and explains what it takes to create a reliable legal environment for the Industrie 4.0 to flourish.

Topics covered in this interview include:

  • How can governments, ministries and regulatory authorities respond best to emerging technological developments
  • Impact of current and future regulations on development of new products and services
  • Working with legal uncertainties and bridging regulatory gaps
  • What does it take to solve the data protection dilemma?
  • What should a legal framework for Industrie 4.0 look like?


LIM Kok Kiang

Singapore’s Industry 4.0 Strategy

In this article, LIM Kok Kiang, the Assistant Managing Director of the Singapore Economic Development Board (EDB), describes Singapore’s digital transformation journey borne out of necessity and explains how the creation of the right framework provides adopters and technology players the environment necessary to co-create new solutions and develop the latest advanced manufacturing capabilities.

The Economic Development Board is the lead government agency for planning and executing strategies to enhance Singapore's position as a global business centre. EDB’s mission is to create value-adding solutions for investors and companies in Singapore to ensure sustainable economic growth, vibrant business and good job opportunities.

Martin Eigner

How to use PLM to Enable Industry 4.0

Companies invest and deploy lifecycle management technologies as a supporting infrastructure of a true 'end-to-end' vision. On paper this is all good and well but in practice, this transparency is actually unachievable in most cases and leads to a siloed value chain: PLM for design of product, ALM for development of software and SLM for management of service.

However, with the introduction of IoT and related platforms, the model is changing. In this session, Professor Eigner discusses how to reap the benefits.

  • How is IoT affecting the investment and development trends of lifecycle management platforms?
  • Strengthening a true interdisciplinary approach to product lifecycle from concept to service and recycle
  • Upstream integration of the industrial internet in design - model-based engineering
  • Downstream integration in service to effectively connect product with quality, safety and maintenance
  • Extending the focus of lifecycle management tools across the value chain
  • Equipping PLM to support the design and operational aspects of communicating products 

Richard Habering

Industry 4.0 in Action - Smart Plastics and Predictive Maintenance at IGUS

Today, it seems that everyone in industry is talking about the great opportunities and huge benefits of Automation through technologies, such as Industry 4.0, Internet of things, Big data and Deep learning.
IGUS identified how they could provide better plant availability for their customers by building sensors into their products for continuous data capture and therefore analytics. The Smart Plastics project implemented condition monitoring and predictive maintenance abilities with the e-chain® system.
Hear how IGUS made sense of technologies such as; IOT, Data analytics and Machine learning to deliver a leading solution, resulting in effective predictive maintenance and a real Euro benefit for their customers.