3. International VDI Conference - Maintenance 2019

Please note, that this event takes place in English.

In case you prefer the German version of this site, click here.

  • Benefit from profound presentations on Predictive Maintenance, Smart Services and Change with many practical examples by top-level speakers
  • Exchange ideas and experiences about maintenance with international participants and speakers from different industries
  • Deepen your knowledge at one of our workshops on September 12, 2019
  • Visit the Evonik Site in Antwerp
  • With one conference ticket you get admission to 2 international VDI conferences „Maintenance” and „Automation & Digitization of Cranes“
Maintenance 2019 - International VDI Conference

On September 10-11, 2019 our international VDI conference on “Maintenance - Fit for Future with intelligent Asset Management” will return, this time located in Antwerp. We will focus on data management, machine learning, predictive maintenance, asset management and new business and service models. Take the opportunity to exchange ideas and experiences with other experts and to network. Several best practice examples make this a practically oriented event.

Free of charge whitepaper download

Using the IIoT to predict the Remaining Useful Life of your assets
Author: Robert Russell, Senseye

Download now

Maintenance in the age of digitization – a competitive advantage rather than a cost factor

Maintenance was long considered an inconvenient cost factor in many companies. But new technologies and developments now enable companies to secure substantial competitive advantages. The “Maintenance” conference gives you an overview of these developments and offers you a platform to exchange ideas and experiences with other experts.

This year’s focus topics will cover:

  • Smart Maintenance: From fail and fix to prevent and predict
  • Adust your Organization to the Technologies
  • Game changing Technologies
  • New Service and Business Models

Download Program PDF

Tuesday, September 10, 20196


Registration & Welcome Coffee


Chair‘s Welcome and Opening Address
Markus Ahorner, CEO Ahorner & Innovators GmbH, Germany

I. Smart Maintenance: From fail and fix to prevent and predict


What is smart Maintenance? A Step toward Reliability

  • Smart Maintenance means to prevent and predict failures at all times
  • Visionary leadership to create a vision for company and its employees
  • Guiding principles that encourage accountability, excellence, respect and integrity
  • Innovative business model that adopts reliability concept
  • Reliable data and easy access to data

Abdul Alami, B.Mech Eng, P.Eng, Consultant, Jetek Engineering - Alberta, Canada


Master Data for smart Maintenance

  • Asset and performance management
  • Asset management structure and criticality of the asset
  • Maintenance of asset concepts
  • Managing and consistency of the data
  • Maturity of the organisation for Smart Maintenance

Piet Colle, AMT, Consultant, STORK, Belgium


Machine Learning in industrial Asset Management

  • What is white-box machine learning and how does it benefit industrial manufacturing?
  • How can we utilize machine learning to increase our operational bottom-line
  • Case study: Predicting remaining useful life of large heat exchangers

Tim Eschert, Application Engineer, Fero Labs GmbH, Germany


Networking & Coffee Break


Prognostics – The Key to Predictive Maintenance

  • How Industry 4.0 and AI is helping industrial companies to achieve scalable Predictive Maintenance
  • Why other alternatives are not feasible
  • Real-world case studies of how leading manufacturers like Nissan have saved millions in unplanned downtime

Robert Russell, Co-Founder and CTO, Senseye, UK


Predictive Maintenance in various Industries

  • How to look for Predictive Maintenance advantages in your organization
  • How to start a Predictive Maintenance project
  • Examples of how predictive maintenance can help organizations to realize savings, increase throughput speed or enrich customer experiences

Roland Rine, Solution Sales Executive on Data-driven Innovation, Big Data & Analytics, Oracle, The Netherlands




Predictive Maintenance on Compressors and Gas Turbines

  • Necessity to analyze all sensors as a whole
  • Machine learning uses recurrent neural networks to model compressors and gas turbines
  • Models can detect problems with far higher accuracy than condition monitoring
  • MAN case study compressor and gas turbine

Dr. Patrick Bangert, CEO, algorithmica technologies Inc., USA


Dynamic modelling of Paper Mill Rotor for bearing Life Estimation

  • Increasing uptime of paper mill machines
  • Simulation of bearing forces using a dynamic model
  • Predict bearing life for maintenance optimization

Dr. Florian Thiery, Senior Researcher, Luleå University of Technology, Sweden


Networking & Coffee Break

II. Adjust your Organization to the Technologies

Digital Supporting Systems for transferring experiential Knowledge in the Steel Industry

  • Knowledge management
  • Documentation of experiential knowledge
  • Integration to shopfloor processes
  • Change process

Dr. Tina Haase, Business Unit of Measurement and Testing Technology / Senior Research Scientist, Fraunhofer Institute for Factory Operation and Automation IFF, Marie Werkhausen M.Sc., Learning & Transformation Concepts / Doctoral Candidate, thyssenkrupp Steel Europe AG, both: Germany


Is your Organization ready for Change? Using the six Batteries of Change to boost your Change Success Rate

  • Successful change management requires a holistic approach, taking rational and emotional elements into account at all levels of the organization
  • Change management is energy management - there are six major sources of energy (batteries) that can drive or inhibit change in your organization
  • Be aware of the energy drainers and restore balance
  • Change requires leadership of top, middle and low level managers

Geert Letens, PhD CPEM, Founding partner, LemnisQ, Belgium


Conference chair‘s closing remarks


End of conference day one



Wednesday, September 11, 2019


Chair‘s Welcome and Opening Address
Manuel Meister, Director of Management Consulting, Accenture AG, Switzerland

III Game changing Technologies


How Technology is transforming Maintenance and Overhaul Operations

  • Examples of how technology is shaping the future of services
  • Services 4.0: Moving Industry 4.0 in Maintenance and Overhaul Operations
  • How technology will ultimately shape the future product

Dr Dimitris Triantafyllidis CEng MIMechE, Chief of Emerging Technologies, Rolls Royce, UK


Augmented and Virtual Reality

  • Maturity of augmented and virtual reality
  • Potential and business cases
  • Implementation and requirements for the maintenance staff

Speaker, tba


Panel Discussion 5G enabling Smart Production and Smart Maintenance?

  • Cloud technologies, Ethernet Time-Security Networking (TSN) & wireless 5G radio
  • Potential and risks of these technologies
  • Internal and external requirements
  • Business cases for maintenance
  • Possibilites to manage the transformation

Networking & Coffee Break

IV. New Business and Service Models


Disruptive Service - The Game of the Future

  • Service management solution
  • Disruptive technologies
  • How to develop a more comprehensive offering
  • Customer cases

Urban Hofstroem, Principal Director – Head of Industry X.0 Product Support & Aftersales, Accenture AG, Switzerland


Data-driven Business Models

  • Main concepts and approaches
  • Computational intelligence and machine learning methods
  • Experiences and practical examples

Speaker, tba


Advanced Digital Asset Management - A Simple Digital Twin to Provide a Jump Start for Smart Maintenance

  • The task: What Advanced Digital Asset Management (ADAM) means
  • The objective: Why ADAM will enhance your smart maintenance approach
  • The practical use: Strategic advantages and operational benefits of ADAM for maintenance, risk and life-cycle management
  • The technology: A simple but effective architecture for getting started with ADAM
  • The implementation: How ADAM can easily be realized

Markus Ahorner, CEO, Ahorner & Innovators GmbH, Germany




Exclusive Site visit to Evonik

Only 40 participants are eligble to participate. First-come, first-served. Bus transfer there and back. Additional registration needed. Please see the registration form on the last page!


End of conference day 2 (depending on the traffic)

The accompanying program for the “Maintenance” conference

Book one conference and visit two – as a “Maintenance” conference participant you can also take part at the "Automation & Digitization of Cranes" conference running at the same time at no additional costs. Maintain and expand your professional network at the evening reception with attendees of both conferences.

The conference is also accompanied by two workshops taking place on the day after the conference, September 12, 2019: "Obsolescence – Manage the Inevitable" and "Data-driven Asset Management". Visit the conference and choose one of the satellite workshops and benefit from a discounted package price.

Who should take part

The conference is addressed to:

  • Managing Directors
  • Chief Technology Officer (CTO)
  • Chief Digital Officer (CDO)
  • Heads of Maintenance
  • Heads of Technology
  • Plant & Asset Managers 
  • Digital Operations Managers
  • Reliability Engineers
  • Heads of Remote Services
  • Business Development Managers

Secure your ticket now

You’d like to find out more about how you can make maintenance a competitive advantage rather than a cost factor in the age of digitization? You want to learn about new technologies and developments? Then book your ticket for the “Maintenance - Fit for Future for intelligent Asset Management” conference now.

Advisory Board

Dipl.-Ing. (TU) Markus Ahorner Ahorner & Innovators The Architects of Digital Transformation GmbH / Ratingen

Dr.rer.-pol. Ralf Gitzel ABB AG / Ladenburg

Manuel Meister Accenture AG / Zürich

Prof. Aditya Parida Lulea University of Technology / Lulea

Eventnumber: 02KO017

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