Car parts handled by robots in car factory

Smart Manufacturing Day

Build smart. Deliver smart. Service smart. 

Wednesday 7th of November

AI, machine learning, cloud computing, robotics or the Internet of Things – there are many triggers for manufacturer to rethink their businesses. Along with the euphoria also comes some uncertainty on how to transform the opportunities into real cost savings and revenue opportunities.


Therefore we invite you cordially to the Smart Manufacturing Day. Join us to demystify some hypes and learn how to successfully operationalize analytics in manufacturing.

You will gain insights into successful industry 4.0 projects, experience live-demos and discuss the best approaches, technologies and processes with leading industry representatives.

  • Industry 4.0 initiatives: How do we avoid pitfalls and secure quick success in industry 4.0 innovation projects?
  • Asset performance: What’s needed to combine and analyze streaming, edge and process data to increase daily productivity and reduce scrap?
  • Supply chain: How do I apply advanced analytics for demand planning, forecasting and inventory optimization?
  • Aftermarket: How do we use analytics to reduce service costs and create new opportunities and service offerings?
  • IoT analytics: What are ways to avoid ivory towers and facilitate deployment into live operations?

Presentations

Click on the presentation title to download available presentations (PDF).

 Wednesday, 7 November 
08h30 - 09h00 Welcome Coffee 
09h00 - 09h15 Welcome by SAS 
09h15 - 10h00
Challenges & needs of the manufacturing industry – Opportunities of digitalization & Artificial Intelligence, in practice
Herman Derache
, Managing Director, Sirris
10h00 - 10h45Is data the new gold for industry?
Marc Engels
, COO, Flanders Make
10h45 - 11h15Coffee Break
11h15 - 12h15AI from buzz to practice
Joline Jammaers
, SAS Manufacturing Expert
Adriaan Van Horenbeek
SAS Manufacturing Expert
12h15 - 13h30Lunch
13h30 - 15h30

Breakout 1: SUPPLY CHAIN

Want to know how other manufacturers have applied data and analytics to gain more insights in their supply chain? Discover how your peers have gone the extra mile in demand planning, forecasting and inventory optimization.

13h30 Excellence in Forecast Accuracy
Speaker: Joline Jammaers - SAS Manufacturing Expert

14h15 Project Approach for success using references & cases
Speaker: Joline Jammaers - SAS Manufacturing Expert
 

14h30 Customer Case: DAIKIN EUROPE 
Speaker: Luc Dendooven - Process Manager - Forecast
Title: Use of statistical analytics in a collaborative forecast process

Breakout 2: SERVITIZATION

    Get exceptional customer service and control over service costs, new opportunities and service offerings.
     
    Technology Case: iCare
    Speaker: Pascal Bejstrup – COO
    Title: From traditional CBM to digital CBM in a pragmatic way

    Customer Case: CLAAS Service & Parts GmbH
    Speaker: Axel Holtkotte - M.Sc.
    Title: Structured analysis of field quality data with integration of enhanced machine data at CLAAS

      Breakout 3: PROCESS PERFORMANCE

      Advanced Data Analytics is about collecting real-time and historic data, to better understand the relationship between production parameters and enhance asset performance. This will lead to increased daily productivity or reduce raw material consumption.


      13h30 McKinsey & Company
      Speaker: Olivier Noterdaeme - Partner
      Title: Digital transformation in the process industry

      14h00 Customer Case: Solvay
      Speaker: Alain Faessler -  Group General Manager Industrial
      Title: Transforming operations through digital and analytics 

      14h30 SAS
      Speaker: Adriaan Van Horenbeek – SAS Manufacturing expert
      Title: Applying analytics in chemicals

      15h00 Debate – challenges and learnings from applying data analytics




       

      15h30 - 16h00Coffee Break
      16h00 - 16h30Prayon P15 - Digital Project of the Year.
      Marc Senterre
      , ICT Director, Prayon
      16h30 - 16h45Closing by SAS
      16h45 - 18h30Closing Drinks 
       

      Antwerp Engineering Company
      Indiëstraat 10
      2000 Antwerp

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