2. International VDI Conference - Maintenance 2018: Predictive Analytics for intelligent Asset Management

Please note, that this event takes place in English.

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

  • Receive up to date information first hand from representatives from industry and research.
  • Exchange ideas and experiences about maintenance with international participants and speakers.
  • Experience best practice examples directly from industrial practice.
Maintenance 2018 - International VDI Conference

Learn about and assess new technologies and developments in maintenance at the “Maintenance - Predictive Analytics for Intelligent Asset Management” conference. The focus is on data analytics, predictive maintenance, maintenance strategies 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.

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Nine Key Considerations for Selecting Your Field Services Collaboration Solution
Author: Alex Rapoport,Fieldbit Israel

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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. For example, learn about how to analyze and use maintenance data in a targeted way. Further themes of the conference include:

  • Predictive Maintenance
  • Industrial IOT/IOP
  • Application of Augemented Reality for trainig
  • Asset Management
  • Maintenance 4.0 strategies

The agenda boasts of presentations of internationally renowned experts and has been put together by our supporting experts

  • Aditya Parida, Ph.D., Luleå University of Technology, Luleå
  • Dr. rer.-pol. Ralf Gitzel, ABB AG, Ladenburg
  • Manuel Meister, Accenture AG, Zürich

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Program of the Conference

Tuesday, October 23, 2018


Registration & welcome coffee


Chair‘s welcome & opening address


Industry X.0 – The Digital Re-Invention of Industry

  • Digital disruption of industry: Challenges and opportunities 
  • From Industry 1.0 to Industry X.0 – The digital re-invention of industry 
  • 6 key capabilities to become a successful Industry X.0 business
  • How to measure Industry X.0 maturity

Manuel Meister, Director of Management Consulting, Accenture AG, Switzerland

Innovation in Industrial Internet of People (IoP) 

  • Smart pumps enabling IoP 
  • Value chain based on IoP 
  • IoP solutions for maintenance 
  • Virtual digital twinning for BHP Billiton

Dr. Uwe Seebacher, Director Global Marketing, Communication & Strategy, Pumps, ANDRITZ AG, Austria


Networking & Coffee Break

How the IoT is changing Business Intelligence & Maintenance 

  • Collection of large quantities of precise data with sensors 
  • Improvements for assisted and preventive maintenance 
  • Enabling finely tuned automated process and quality checks 
  • Commercial use cases

Laurant Soubielle M.Sc., Technical Leader, Sigfox, France


Secure Retrofit for Industrial Brownfield

  • Integration of IT and OT in mixed legacy setups 
  • Enabling the smart factory / Industry 4.0 in real life environments 
  • Ensuring connectivity, security and manageability in Industry 4.0
  • Cost efficient upgrades of legacy equipment with sensors and connectivity

Wolfgang Decker, Managing Director, Accenture GmbH, both: Germany



II. Predictive Maintenance


Prognostics – Estimating remaining Equipment Life 

  • Prognostics concepts
  • Methodology for remaining life estimation 
  • Measuring performance of life estimation
  • Benefits of prognostics

Dr. Kai Goebel, Adjunct Professor, Luleå Technical University, Sweden and Tech Area Lead, NASA Ames Research Center, USA


Boost your Business with Predictive Analytics

  • Importance of feature engineering for the development of Predictive Maintenance solutions 
  • Key-success factor: Combination of data science and domain knowledge
  • Life cylce management of analytics models with AI 
  • How a compressor manufacturer uses ML and AI to change the business model and reduce service costs
  • Open source platform and vendor independent architectures

Dr. Carlos Paiz Gatica, Product Manager Industrial Analytics, Weidmueller Interface GmbH & Co. KG, Germany


AI for Predictive Maintenance - Beyond the Hype

  • History of AI and Predictive Maintenance (PM) 
  • Examples of real world PM use cases 
  • Relevant data 
  • State of the art AI methods 
  • Best practices and pitfalls

Franziskos Kyriakopoulos, CEO, 7LYTIX GmbH, Austria


Networking & coffee break



Challenges in Data Management - Who owns the data?

III. Applications of new Technologies in Maintenance


Remote Monitoring Service as a Key for Availability of industrial Powertrains 

  • Application of cardan shafts 
  • Vibration monitoring of powertrain components
  • Remote monitoring 
  • GKN‘s proactive maintenance concept 
  • Machine availability in paper production

Dr.-Ing. Max Krüger, Digital Solutions and Remote Services Manager, GKN Service International GmbH, Germany


Reduced Mainteance Cost – How Digitalization injects Expertise and Experience into Maintenance Operation

  • Maintenance spend is the most significant and most overlooked area of opportunity
  • Large amounts of data available, lagging intelligence to exploit this resource
  • Most failures are uncorrelated to age of equipment, however we still do maintenance as of the opposite was the case

Marianne Ytterbø, Product Manager, ABB AS, Norway


End of conference day one


At the end of the first conference day we kindly invite you to use the relaxed and informal atmosphere for in-depth conversations with other participants and speakers.

Wednesday, October 24, 2018

IV. Business Strategies


Value Creation through Lean Smart Maintenance 

  • Maintenance business model  Maintenance management model 
  • Generic approach 
  • Life-cycle oriented Asset Management

Dipl.-Ing. Robert Bernerstätter, Research Assistant, Montanuniversität Leoben, Austria


Learning and Training with Virtual Reality

  • Challenges related to training and learning with traditional methods
  • The revolution of Virtual Reality (VR) - What is different from 20 years ago?
  • VR as a tool for more efficient training
  • Results and effects of VR applications for training
  • How to bridge the gap between industry and new technology - business models and implementation

Jakob Johansson MSE, CEO, Gleechi, Sweden


Augmented Reality in technical Service 

  • Knowledge Management – Expert knowledge where and when it matters 
  • AR use cases - Remote collaboration
  • Benefits and new service models 
  • AR – Demo

Dipl.-Kfm. Frank Hertling, Fieldbit Ltd., Business Development Partner Europe, Israel


Intelligent Digital Services

  • Exemplary application: Linde Intelligent Service Initiative 
  • From Customer to OEM: Digitalizing the service communication process 
  • Intelligent service reporting & Big Data Analytics

Roger Campbell B.Sc., Head of Service Solutions Intralogistics, Linde Material Handling GmbH, Germany


Networking & coffee break


World Cafés

  1. Digitalization of Maintenance requires organizational Change - What are the Challenges, Opportunities and Approaches?
    Moritz von Plate, CEO, Cassantec GmbH, Germany
  2. Qualification of Staff for Maintenance 4.0
    Jacob Johansson MSE, CEO, Gleechi Sweden
  3. IoT vs. IoP
    Dr. Uwe Seebacher, Director Global Marketing, Communication & Strategy, Pumps, ANDRITZ AG, Austria
  4. Operational Excellence
    Aditya Parida Ph.D., Professor, Operation and Maintenance Engineering, Luleå University of Technology, Sweden


V. Asset Management


Intelligent Asset Performance Management

  • Intelligent asset management and its relevance to Industry 4.0 
  • Asset performance management including ISO 55000 and related issues 
  • Big data and predictive analytics for asset management 
  • Case study of industry application highlighting big data, KPIs and link & effect model

Aditya Parida Ph.D., Professor, Operation and Maintenance Engineering, Luleå University of Technology, Sweden


Asset Management: Concepts, Innovations, and Future Direction

  • New developments in assessing risks of safety (and cost) critical assets
  • Novel maintenance decision support models, and how such models can leverage on data analytics
  • Diagnostic decision support, and the role of maintenance information in actualising such support
  • Case study application in power plant and aircraft systems

Dr. Ir. Peter Chemweno, Assistant Professor of Production Systems, University of Twente, The Netherlands, co-authors: Prof. Dr. Ir. Liliane Pintelon, Full Professor of Mechanical Engineering, and Chair of Department of Industrial Management/ Traffic and Infrastructure, KU Leuven, Belgium and Prof. Dr. Ir. Peter Muchiri, Associate Professor of Mechanical Engineering, Dedan Kimathi University of Technology, Kenya


CMMS and Industry 4.0: The ever biggest Transformation?

  • CMMS as the hub of your factory • Benefits and business case 
  • How ready are you to lift your CMMS to the Industry 4.0 era? 
  • How to connect sensors to your CMMS 
  • Don‘t forget the human factor

Fries Lefevere, Director Central and Western Europe, OPTIWARE, Belgium


Conference chair‘s closing remarks


End of conference

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 "Spare Parts Management" 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 three workshops on different topics taking place on the day before the conference:

Visit the conference and choose a workshop 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 - Predictive Analytics for Intelligent Asset Management” conference now.

Eventnumber: 02KO017

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