PROGRAM Tuesday, 30


  • 9:00 Registration & Welcome coffee
  • 9:30 Opening Session
  • 10:00 Plenary sessions
    • 10:00 Flavien Peysson (Predict)
    • 10:30 Benjamin Vilain (Baldwin Partners)
  • 11:00 Coffee Break
  • 11:30 Plenary sessions
    • 11:30 Manfred Dangelmaier (Fraunhofer)
    • 12:00 Hervé Riou (Airbus)
  • 12:30 Lunch
  • 14:00 Plenary sessions
    • 14:00 Stefan Minner (TUM)
    • 14:30 Alain Roset (La Poste)
  • 15:00 Coffee Break
  • 15:30 Parallel panels discussions
    • Twisting the Digital Twinmodelling factories for process and resource reconfiguration
    • Smart Factories: smart enough? - supply chain and production optimisation
  • 17:00 End of day one


PROGRAM Wednesday, 31


  • 8:30 Registration & Welcome coffee
  • 9:00 Pierre Simay (IMT) H2020 
  • 9:30 Plenary sessions
    • 9:30 Robert Pellerin (Polytechnique Montréal)
    • 10:00 Xavier Fouger (Dassault Systèmes)
  • 10:30 Coffee Break
  • 11:00 Plenary sessions
    • 11:00 Lihui Wang (KTH Sweden)
    • 11:30 Christian Le Gac (Naval Group)
  • 12:00 Lunch
  • 13:30 Plenary sessions
    • 13:30 Massimo Ippolito (Comau)
    • 14:00 Emmanuel Bricard (e.l.m. Leblanc)
  • 14:30 Coffee Break
  • 15:00 Parallel panels discussions
    • Quality and Cyber-security: no joking! - cyber-security, data-privacy, reliability etc.
    • Cloud Manufacturing: what do you mean? - what is exactly CMfg, how to reach it etc.
  • 16:15 Closing Session
  • 16:30 End of Workshop




Hervé Riou

Factory of the future – the question of transformation

Airbus is massively engaged on the way to future factory. But the effort could target existing products, industrial means & supply chain, where the question of transformation could be the one of usage and cooperation more than that of solutions. Illustration through Airbus transformation programs and highlights.


  • Twisting the Digital Twin
  • Quality and Cyber-security: no joking!
  • Smart Factories: smart enough?

Benjamin Vilain

Initiatives related toIndustry 4.0 in Pays de la Loire (France)

The presentation describes a sample of experiences related to the factories of the future from industrial actors in different fields in the région Pays de la Loire, giving an overview of the results obtained and unsolved issues from companies that haven't started their transition phase.

Massimo Ippolito

Comau Approach to Industry 4.0

Comau, a member of FCA - Fiat Chrysler Automobiles group, is a worldwide leader in driving the future of production automation by engineering lean and sustainable solutions and products. Its highly-configurable products can be tailored to meet the needs of each individual customer. Its comprehensive offering includes manufacturing and assembly solutions, powertrain machining, robotics and asset maintenance services for a wide range of industrial sectors. Comau is accelerating its journey into Digital Manufacturing leveraging best-in-class innovative technology and Cloud services to create an effective, open, flexible and enterprise-grade Digital Solution Portfolio that allow worldwide customers and partners to get real added value from their Data.


  • Cloud Manufacturing: What do you mean ?

Xavier Fouger

The digital dimension in the workforce of the Fourth Industrial Revolution

“Around 85% of the jobs that today’s learners will be doing in 2030 haven’t been invented yet” according to a report published this July by the Institute for the Future. In industry, this trend already drives profound changes in the way we educate those who are driving the transformation: The WHAT of engineering education is integrating the many new practices and tools emerging from the 4th industrial revolution while the HOW is increasingly focusing on project-centric methods which aim at preparing students in the practice of solving unanticipated problems. Both dimensions of this transformation pose challenges to educators that cannot be taken without more digitization in the subject matters as well as in the educational practices. The presentation provides a panorama of educational activities that address those challenges in different countries.


  • Twisting the Digital Twin

Emmanuel Bricard

Leading our way towards Industry 4.0

How to develop our company to prepare for the i4.0 revolution? This challenge faced by the whole manufacturing industry is shaping new organizations, new ways to develop intelligent solutions as well as new talents. We will see the i4.0 vision and strategy of e.l.m. leblanc, Bosch Group, Leader on the French heating appliances market.

Panels :

  • Twisting the Digital Twin
  • Cloud Manufacturing: what do you mean?

Manfred Dangelmaier

Engineering 4.0 – The future of digital product creation

Based on megatrends as drivers, current trends in digitization in product development and production are highlighted. Engineering 4.0 is introduced as the engineering for the ongoing 4th Industrial Revolution. Selected project examples for digital product creation, digital construction and immersive engineering are presented.


  • Twisting the Digital Twin
  • Quality and Cyber-security: No joking!

Lihui Wang

Industry4.0: Concepts, Applications and Future Opportunities

Industry 4.0 is known to be the 4th Industrial Revolution. Within the manufacturing context, it aims for flexible and adaptive manufacturing operations locally or globally by using integrated technologies that can combine the advanced computing power with manufacturing resources. Therefore, the vision of Industry 4.0 can be realised by smart manufacturing that depends on the timely acquisition, distribution, and utilisation of data from machines and processes on manufacturing shop floors and even across product lifecycles. Effective information sharing can improve production quality, reliability, resource efficiency and the recyclability of end-of-life products. Smart manufacturing built on digitalisation aims for better sustainability. For the sake of general audience, the following topics will be covered in this presentation:

  • Current status and movements towards Industry 4.0
  • Latest advancement and future opportunities of smart manufacturing (CPS and Cloud)
  • Showcases of remote monitoring and robot control, and human-robot collaboration

While advanced technologies show great promise in manufacturing, challenges in the topic areas and future trends will also be identified in this presentation.


  • Cloud Manufacturing: What do you mean ?

Alain Roset​

LA POSTE, a factory without walls

After, a short description of the industrial organization of the mail and parcel collection, sorting and delivery, we will examine the challenges to adapt this organization to the fast changing market needs with a specific scope of the tools and skills we are using in our engineering teams.


  • Twisting the digital twin

Christian Le Gac

What is Naval Group factory of future?

Description of the tasks of studies and orientations for new technologies used in Naval Group factories and yards. Situation for themes like smart factory, data continuity, physical assistance, cognitive assistance, new control tools.


  • Quality and Cyber-security: No joking!

Robert Pellerin

A generic framework for assessing strategic Industry 4.0 options for SMEs

A fourth industrial revolution is currently occurring which bring manufacturing organisations, including SMEs, to accelerate the digitization and the connectivity of their processes. These changes also bring business leaders to question their business models. The improvement alternatives are numerous and many firms have difficulty defining what, how and when to deploy new tools and technologies. At the same time, only few researchers are able to guide SMEs in deploying new 4.0 strategies, as they often required extensive business, process and technology expertise. This conference presents a generic framework that may help researchers and SMEs to define and evaluate new possibilities.


  • Cloud Manufacturing: What do you mean?

Flavien Peysson

Maintenance 360° for Factories of the Future


  • Smart Factories: Smart enough?

Stefan Minner

Data-driven manufacturing planning and control in a distributed multi-agent environment​

Availability of big data in manufacturing and logistics enables better production and sequencing decisions, thereby reducing lead times and inventories. We present a new data-driven optimization framework which includes exogenous information from various sources such as sensors and integrates the tasks of data forecasting, production planning and manufacturing execution using machine learning techniques in a distributed decision making environment with multi-agent coordination.​


  • Smart Factories: Smart enough?
  • Cloud Manufacturing: What do you mean ?