Big Data Technology in the Production Line

  • Learn about the utility of Big Data from the experts and find out how you can make the most of the information you collect
  • Hear from renowned speakers from around the world, including the USA, and see how data is handled by leading corporations
  • Find out about the newest developments in technology and how Big Data is used and analyzed internationally
Big Data Technology in the Production Line | VDI Wissensforum

Data is everywhere – every machine used in a facility and on a production line is capable of producing large amounts of detailed information. The key is finding out what is the most important and how best to use it. The VDI conference ‘Big Data Technology in the Production Line’ will shed light on the challenges and opportunities Big Data presents.

Free of charge whitepaper download

Ops 4.0: Fueling the next 20 percent productivity rise with digital analytics
Author: Mercedes Goenaga, Philipp Radtke, Kevin Speicher, and Rafael Westinner, McKinsey & Company

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What’s the big deal about Big Data?

Technology now allows us to capture unprecedented levels of data about machines and technological processes. However, traditional data processing can often have difficulties handling the amount or complexity of the information. Big Data uses advanced analytics to create predictive models, for example, and determines which pieces of information are the most useful to achieve positive results on the production line.

The VDI conference ‘Big Data Technology in the Production Line’ will present the newest developments and technology in Big Data. You will also have the opportunity to network with colleagues and engage with renowned international speakers who will cover themes such as why data is important and how it is handled by leading corporations.

Conference themes

A wide range of topics and themes will be discussed, including:

  • Advancements in Big Data and how to stay ahead in a fast-moving field
  • Preventive maintenance for the optimization of production lines
  • Data analysis and evaluation in conjunction with new sensor technology and IT Systems
  • The future of Big Data and how current developments and technologies will influence data gathering and analysis in the future

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Tuesday, December 12, 2017


Registration & welcome coffee


Chair’s welcome and opening address

Conference chairs:

Prof. Cesare Fantuzzi, Full Professor in industrial Automation and Control System, University of Modena and Reggio Emilia, Italy

Prof. Dr. rer. nat. Oliver Niggemann, Deputy Head of Fraunhofer Application Center Industrial Automation (IOSB-INA), Germany

I. Observability – Collecting relevant Data


Big Data – Harness Oil and Gas with Analytics

  • Fundamentals of data-driven Analytics
  • Big Data management
  • Reservoir characterization
  • Deep learning case studies in seismic Exploration
  • Analytical centers of excellence

Keith Holdaway, Global Advisory Industry Consultant O&G, SAS Institute Inc., USA


Industrial Edge Analytics: Real-Time Insight in the Production Line

  • Edge analytics in the production line
  • Real-time OEE improvement
  • Security risk reduction by keeping data on-premise
  • Time series based anomaly detection and preventive Analytics
  • Eliminate unsolved disruptions, reduce scrap, optimize plant Performance

Peter Seeberg, Business Development Manager, Softing Industrial Automation GmbH, Germany


Networking & coffee break


Development of an Industrial Platform for Big Data Acquisition and Data Analytics

  • Industrial requirements for the development of a prognostic platform
  • Design concepts for a multi-purpose data acquisition
  • Big Data storage and management techniques
  • Development of analytics modules and case studies

Fabio Floreani, Master Degree in Automation, Research Institute; Co-Authors: Andrea Piccinini, Master Degree in Computer Science, Valerio Pesenti, Master Degree in Mechanics, all: Intellimech Consortium, Italy

II. Condition Monitoring and Predictive Maintenance


Big Data Approaches to Monitoring, Anomaly Detection,  and Diagnosis in complex Systems

  • Analyzing large volumes of  operational data from complex cyber physical systems
  • Application to aircraft and space Systems
  • Feature selection to support accurate anomaly detection in system operations
  • Characterizing anomalies for constructing monitors and diagnosers

PhD Gautam Biswas, Electrical Engineering and Computer Science/ Institute for Software Integrated Systems, co-authors: Hamed Khorasgani, Graduate Research Assistant, Benjamin Stadnick, Research Assistant, all: Vanderbilt University, USA




Navigate in Big Data Lake: How to manage Data Flows from Machines to Cloud for Condition Based Monitoring Processes

  • Design concept and presentation of methodology for big data acquisition and Management
  • Production lines in manufacturing plant for beverage and food stuff
  • Prognostics of components and device of automatic machines and robots
  • Data management and processing

Professor Cesare Fantuzzi, Dean of Mechatronic School, Department of Science and Methods for Engineering, Co-Author: Claudio Longo, both: University of Modena and Reggio Emilia, Italy


Simulation-based and Data integrating Decision Support for Production

  • Use online production data from all levels – Form shop floor to ERP (enterprise resource planning)
  • Validate production performance and scheduling
  • Support in optimized processes by simulation based forecast
  • Address flexible and reconfigurable CPPS (cyber physical production System)

Birgit Obst, Senior Key Expert, Roland Rosen, Principal Key Expert Research Scientist, both: Siemens Corporate Technology, Germany


Networking & coffee break


Automated Guided Vehicle (AGV) Fleet Monitoring for predictive Maintenance and fault Diagnosis in automatic Warehouse Management Plants

  • Condition monitoring for mobile vehicle for industrial applications
  • Predictive maintenance of AGV components
  • Smart management for logistic Automation

PhD Francesco Monica, Project Manager, Research & Development, Elettric80 Spa, Italy


From Big Data to Machine Learning in Production

  • Data driven services in production
  • Industrie 4.0 and industrial Ethernet
  • Machine learning and Big Data

Prof. Dr. rer. nat. Oliver Niggemann, Deputy-Director; Co-Authors: Dr. Alexander Maier, Florian Pethig, Team Leaders, all: Fraunhofer Application Center Industrial Automation (IOSB-INA), Germany


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, December 13, 2017

III. Optimized Operations and Encreased Efficiency


Big Data, Machine Learning and Deep Learning for IoT based Production

  • Overview of Big Data ML and DL with Apache Spark Technology
  • Use cases and application architecture of the technologies IoT and production

Khandaro Khand, Senior Director, Big Data Cloud, Oracle, USA


Pushing Manufacturing Productivity to the Max with Big Data and Advanced Analytics

  • Defining the right measures and objectives
  • Ensuring data and organizational readiness
  • Use cases & success stories
  • Driving digital transformation across the Enterprise

Dipl.-Ing. Robert Feldmann, MBA, Senior Expert, Operations Practice – McKinsey Digital Manufacturing, McKinsey & Company, Germany


Networking & coffee break

IV. Data Fusion and Analysis


The Highway from Advanced Analytics to Advanced Process Control

  • Designing of Advanced Process Control (APC) with Big Data
  • Advanced analytics produce reliable nonlinear process models
  • Nonlinear Model based Predictive Controllers (MPC)
  • Realizing cost & energy saving
  • Successful use cases in yield, energy & throughput
  • Adapt manipulable parameters of the process continuously

Dipl.-Ing. Thomas Froese, Managing Director, Atlan-tec Systems GmbH, Germany


From Big Data to Smart Services: Using Data Analytics for improving Assistance Systems in Production and Assembly

  • Production management & control: From quality assurance towards quality prediction
  • Application examples on applying big data analytics for assistance in production and final assembly
  • Novel business opportunities through big data and data-intensive applications
  • Applying big data in industrial projects: Challenges and lessons learned

Christoph Legat, Software Professional, Benno Lüdicke, Head of Smart Factory Solutions, David Renaud, Head of Data Science Capabilities, all: Assystem S.A., France




The Science of Data-Driven Prediction

  • Deep learning and deep neural networks demystified
  • From data-driven to smart modeling bringing together data, artificial intelligence and domain Knowledge
  • Applications of deep neural networks inside Siemens and their benefits

Dr. Ralph Grothmann, Principal Key Expert Consultant, Siemens Corporate Technology, Germany


Why Edge Computing isn’t everything about Cloud? – Economical and technical Evaluation of Computing in the Edge

  • Modern industrial IoT architectures
  • Technical features of networking components
  • Maximizing total cost of ownership – A comparison
  • Use cases

Dipl.-Ing. Ralf Pühler, Product Manager, Technical Department, Bernecker + Rainer Industrie-Elektronik Ges.m.b.H., Austria

V. Future Aspects


Data Interoperability — Finding a common Language for the Devices of the Future

  • The importance of data today • What is data interoperability
  • Machine meets machine — The IoT Revolution
  • Setting the Standards
  • A bright future? — Challenges & opportunities

Claudio M. Camacho, Head of Marketing, Tuxera Inc., Finland


Conference chair’s closing remarks


End of conference

Who this conference is for

The VDI conference ‘Big Data Technology in the Production Line’ is for professionals working in industry, automation, data analysis, product maintenance, IT, measuring, testing and monitoring, service and system technology and engineering. Amongst others, it will be interesting and valuable to the following people:

  • Machine Operators
  • IT specialists
  • Data analysts
  • Engineers
  • Software professionals
  • Data engineers
  • Data management engineers
  • Software developer
  • Automation specialists
  • Industrial engineers
  • Database specialists
  • System architects

Special events and extras

On top of great opportunities to network and meet other professionals from the world of Big Data, the VDI conference ‘Big Data Technology in the Production Line’ will also host a workshop on ‘The Way from Digitalization with Advanced Analytics to APC – A journey with practical examples’.

The focus is on ‘real world’ production, where there are often not enough qualified data sets to make Big Data applications and optimize processes. Together with McKinsey project management, VDI’s Big Data Standardization Group has developed a set of best practices that are proven to work in over 1,200 projects at medium and large companies.

Visit also our Workshop "'From small to smart' – how data usage can improve value creation" and learn more about best practices of data usage through the whole value chain.

The possibilities for Big Data are huge. Use them to your advantage.

Book your seat at the VDI conference ‘Big Data Technology in the Production Line’ to experience how companies from all over the world gather and handle data. Learn from leading professionals in the field and secure your advantage from using Big Data.

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