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Header 3IF Conf 2018 2

 

Agenda Day 1 :

• Brussels, Quartier Papier - Tuesday September 11th
• Build your business case in two hours
• Ticket Fee: EUR 195 per attendee

Abstract:
The 3IF conference starts with a series of parallel workshops on September 11th. Participants will have the opportunity to take a deep dive into specific topics to maximize the learning experience. In each workshop, participants will be presented with background materials, bringing them up to speed on concepts, fundamentals, objectives, experiences and state of the art. Following this, some cases will be elaborated during joint Q&A. Finally 2 cases will be worked upon in a structured approach in 4 smaller groups. Joint results will be debated in the group and moderated by the experts with some final advice. There will be 7 workshops ran in parallel. Please note that we’ll only allow 18 participants per workshop and that all reservations made are based on a first come, first serve basis. There will be 3 chances to participate in each of the workshops. Every 2 hour workshop will be followed by a 30 min break.

 

9.00 : welcome & registration

9.15 : pdf introduction and objectives of the day by Ulrich Seldeslachts, 3IF.be

09.20 : 1. pdf Business, Application and People before Technology (658 KB) : facilitated by 3IF, Valentijn De Leeuw: Participants will be guided through some modelling exercises on the basis of some real life cases, in order to guide the development of potential business cases internally. Some examples include Condition Based Maintenance, Process Optimization concepts, Energy optimization, Digital Servitization.

  • Generalizing business modeling across industries
  • Choosing an application and setting up a business case
  • Mobilizing teams and preparing POC
  • Key concepts of : energy efficiency, process optimization, condition based maintenance, product digitization, integrating operator assistance

About : Valentijn is Industry Expert and Senior Partner at 3IF.be, and focal point for ARC's Benchmarking Consortium in Europe. He has extensive experience in best management practices in process industries, including chemical, polymer, metals, energy, food, pharmaceutical, and petroleum manufacturing. His experience includes knowledge of unit processes, simulation, and modeling, and business practices utilizing application software designed for manufacturing operations. Valentijn has extensive experience in best management practices in process industries, including chemical, polymer, metals, energy, food, pharmaceutical, and petroleum manufacturing. His experience includes knowledge of unit processes, simulation, and modeling, and business practices utilizing application software designed for manufacturing operations. Valentijn's focus areas include organizational change and effectiveness, business process improvement, value-based performance management, governance, project management, knowledge management, operations management, asset management, innovation and engineering, and manufacturing IT. His technology focus is on manufacturing operations management, performance management, supply chain management, and the role of the knowledge worker in manufacturing.

10.30 :   pdf 2. Analytics 4.0 workshop : facilitated by Yazzoom, Jan Verhasselt (2.43 MB) : Crucial step in the digitization process is the ability to extract actionable insights from the data. Especially when the insight is extracted by combining data from different sensors and data sources using some mathematical model, that model can be complex. It is therefore important that the creation and maintenance of such mathematical model is made as easy as possible. Both in case that mathematical model is built using expert knowledge, and in case that model is learnt from data using machine learning (AI) techniques. In this workshop we will explain the different data modelling techniques with their pro’s and con’s, and will demonstrate recent software that makes the creation and maintenance of such models feasible for non data-scientists.

  • Different approaches for predictive and prescriptive analytics projects in industry
  • How to build your own mathematical models in Excel and deploy and maintain them on live data in an industrial context
  • How AI is used to learn the normal behavior of your machine or production line from data and detect anomalies automatically

About : Jan Verhasselt holds a Master in Industrial Sciences in Automation, a Master of Science in Physics and a PhD in Applied Sciences with speciality Automatic Speech Recognition. He held several research and management positions before founding Yazzoom. See his LinkedIn page for more details.

12.30 : lunch break – demonstration of IoT devices

  pdf Selecting the right sensor for the right application (1.79 MB) facilitated by 3IF.be, Daniel Bora  When available use the data from the production machines in the first place. But in many cases there won’t be any machine interface, the fieldbus is too rudimentary, the OPC (UA) connection doesn’t learn anything new. Some experiences from the field utilizing specific flowsensors, energy measurements, vibration, inspection camera’s … and other types of sensing devices. Next step is to parametrize the sensors and utilizer multiple measurement tools. Various types of sensors, Fit for purpose, Measure locally, aggregate and calculate on site, aggregate and visualize in the cloud, Sensor technologies under development

About :  Technical Engineer with a strong experience in the Industrial Maintenance, he started in 1988 in the Metallurgical heavy industry environment, mainly in the preventive and curative maintenance direction. Later in 2002, he starts to use the Predictive Maintenance tools and procedures, and from then, he advances in this direction, adopting in his daily activity the PdM applications and tools, now by the Industry 4.0 and IIoT standards and methods. 

13.15 :   pdf 4. Cybersecurity for Digital Transformation : facilitated by Secudea (1.79 MB) Security by Design has to be a part of the Digital Transformation. But how to practically implement such a strategy on operational platforms, where most field engineers are not familiar with any cybersecurity expertise. From network segmentation, isolation through secure use of API’s, interacting with cloud systems and use of authenticated access. Insights in ways to monitor and to setup a governance.

  • Risk based approach
  • Setting priorities
  • Policies, processes and procedures
  • Risk based approach
  • Standards
  • Segmentation & Isolation
  • Firewalls
  • White Listing
  • Priviledged Access
  • Hardening PLC’s

About : Dieter has built his career in industrial environments and has gained excellent knowledge on strategic, tactical and operational level regarding security related subjects. He has worked extensively on the security within the industrial control system area including more than 6 years in a large electricity generation company. Within Toreon, he is the assessments team leader as well as the driver for the ICS security solutions Toreon offers. His main focus exists in performing penetration tests (as well external as internal), performing security audits, creating and evaluating security architectures, teaching Hacking Inside Out™, creating and setting up vulnerability management frameworks & tools. He deploys this expertise primarily in an Operational Technology (OT) environment, performing SCADA security assessments and securing SCADA environments. These activities are always part of a larger programme, aimed at reducing business risks. He has extensive knowledge concerning penetration testing, social engineering, infrastructure security and has the following certifications: CISSP, GCIH, GSEC, GXPN, GCIH, GSNA, CIRM and Scada Security Architect. He is also SANS Local Mentor and SANS Community Teacher.

14.45 :   pdf 5 (796 KB) pdf .Cognitive Manufacturing: What It Is, Why It Matters and Where to start? facilitated by IBM, Hubert Lalanne, CTO (6.92 MB) .  Being guided through the practical implementation of Watson, how to seamless integrate with your current operations, or connect to Watson from the cloud. Reap the benefits of true cognitive intelligence, work on some use cases that can be copied into your own organization, integrating with existing infrastructures and outlining the types of data needed.

  • Cognitive manufacturing leverages Watson connected services platform, AI capabilities, the Industrial IoT, and advanced analytics to digitize, understand and optimize manufacturing processes in ways that were not previously possible
  • How to prepare your datasets in order to feed them into Watson
  • Where to best integrate Watson en the types of interface

About : Hubert Lalanne est Chief Technical Officer (CTO) au sein d'une équipe européenne d'IBM en charge du secteur industriel. Il a rejoint IBM en tant que consultant pour l'industrie. D'abord en charge d'architecture software pour les industries en France, il a ensuite exercé ses fonctions au niveau européen, en tant que conseiller technique. Entre 2011 et 2014, il était CTO des équipes européennes en charge des Smater Cities. En 2015, il a été nommé Technical Leader de l'unité IBM Analytics Business, en charge des solutions dans le domaine de l'internet des objets et de la maintenance.

 

16.15 :   document 6. Business, Application and People (after) Technology part 2 (5.17 MB) : facilitated by 3IF, Valentijn De Leeuw: 

Beyond the technologies and the business are also the people. While there from the beginning, we usually deal with them only at the end. Some suggested ways forward, required skills, interests and required pariticpation.t

17.00 : End of Day 1 : wrap-up. 

 

Day 2 : fireside chats, presentations, breakouts and panels. 

 

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