Industry 4.0

After a general and historical presentation of the industry of the future, its definition, its objectives and challenges, Professors Bernard Yannou and Sylvain Lavernhe will introduce the research departement that they head and the corresponding challenges in Industry 4.0.

As technologies advance, modern engineering systems generally have very high reliability requirements and are anticipated to operate continuously under complex, and often severe operating conditions. To reduce the potential downtime and maintenance costs, it is desirable that the machines understand their health states and make real-time decisions on their own, in order to reduce the likelihood of failure. Prognostics and Health Management (PHM) is a technology that provides a path towards such a vision. In this lecture, we introduce the main theoretical foundations, as well as some successful applications of PHD from various industries, including data collection and signal processing, degradation state estimation, online reliability assessment, and remaining useful life prediction 

The Innovation Center of Evry is a learning factory developped to demonstrate the abilities of Industry 4.0 technologies to disrupt the production management systems of companies.

You will explore an assembly line of disruptive Industry 4.0 technologies. Collaborative robots, intelligent autonomous mobile robots, augmented reality facilities for operators, IoT, disruptive 3D printing, and so many other new and flexible production facilities that can be considered for smarter manufacturing systems.

Virtual, Mixed and Augmented Reality also referred as eXtended Reality are often considered as one of the technological pillars of Industry 4.0. They aim to bridge the gap between the physical world and its digital counterpart (the digital twin) in order to assist the user to its task. After introducing concepts and technologies associated to XR, this talk will review their use cases as well as their added value for industry. Research trends and topics for this research field will also be introduced.

To optimize operational efficiency, reduce costs, and enhance productivity, businesses are turning to process mining—an innovative approach that provides valuable insights into complex business processes and improves automated modeling capabilities. Manufacturing systems are among the latest fields in which process mining applications are being explored by both industry and research institutions. This lesson provides a basic understanding of the process mining approaches and aims to stimulate interest towards innovative applications. The lesson covers the following topics: (1) the concept of process discovery and the main techniques used in practice; (2) the main steps of a process mining project; (3) introduction to one of the main process mining software tools (Disco); (3) applications of process mining in manufacturing systems;  (4) a hands-on exercise session to explore event log data and apply the concepts learned throughout the lesson. 

Understanding Industry 4.0 stakes requires grasping the basics of production management systems. This is what this lecture aims at doing by using Lego serious games. Attendees will design two car assembly lines and produce colored car Lego structures with customized options. Two conventional production management methods will be used, MRP and Kanban, to simulate the production process. But, just like in real life, some defects and incidents can occur. This two-hour experience will teach you the basics of production performances.

Discover la fabrique, the fablab of CentraleSupélec and its 1000m² dedicated to design and prototyping.Each year, la fabrique is supporting 150 hardware projects from students, research labs, start-ups or large companies. Visit our workshops, discover our prototyping tools and discuss with the team. 

Discover “21st”, the incubation and acceleration program of CentraleSupélec ; it supports each year more than 100 projects and startups from the ideation stage to the scale-up stage. 

This session explores the transformative impact of emerging technologies on modern operations management practices. Participants will delve into the integration of advanced technologies in industrial processes, such as artificial intelligence, big data analytics, and the Internet of Things (IoT) into the operational framework of organizations. The session examines how Industry 4.0 enables the optimization of processes, enhances real-time decision-making, and enables improvements in manufacturing, logistics and services through accurate forecasting, planning and management. All while giving insights into addressing the challenges and risks associated with this rapidly evolving industrial revolution. 

Additive Manufacturing (AM) is a technological revolution in the design and manufacture of components and industrial systems. After a presentation of the process and simulation activities, participants will be led into the laser bed melting additive manufacturing cell to observe the production implementation and discover the safety constraints of metal powder-based processes. Finally, the Wire Laser Additive Manufacturing process will be demonstrated, highlighting current research issues.

Despite certain advantages such as speed of execution, accessibility and manipulability, industrial robots exhibit structural defects resulting in inaccurate positioning due to geometrical manufacturing errors, elastic deformations (parts, joints) under kinematic and dynamic loads.

Within the context of smart manufacturing, which calls for an integrated production line solution with short cycle times and compatible with automated production, methods of modelling, identification and control will be proposed to improve the performance of robots and collaborative robots.

The practical objective is experimenting several trajectories on a 6-axis robot from Universal Robot and compare them to simulations from a model to build, based on the rigid multibody theory, in order to predict actuators torques.

To understand industrial robot programming methods, it is necessary to master the digital chain of production systems, particularly robots. After a brief presentation of this digital chain, participants will be divided into small groups and led to program or improve an existing program to carry out a given task. These tasks will range from object detection and gripping to improving trajectories to achieve temporal or spatial performances.

The conference will focus first on non-contact in-line or off-line measurement techniques and will be followed by experimental measurements using optical 3D scanners and sensors, and software processing of point clouds to ensure their quality and usability in the digital factory.