1st International Workshop on Science, Application and Methods in Industry 4.0

News

Introduction

“Standing on the shoulders of giants” is a phrase often attributed to Isaac Newton, but dates back far longer. This concept of progressively contributing to an ever-growing knowledge base is quintessential for research and innovation. Therefore, any research endeavor starts with the quest to assess the current state-of-the-art in its respective field. Only if this is thoroughly conducted scientists and practitioners can make educated decisions about to either implement one of the proposed solutions, or to decide that further research is needed. This workshop tries to cater for the need of getting an at-a-glance overview of the current state-of-the-art in the field of Industry 4.0 and showcase the main challenges, which we have to overcome. Thus, both sides should be represented, the view of the industry (via posters) and the view of academia (via survey papers).

We invite you to experience the cultural and university atmosphere of the beautiful city of Graz. With six universities in one city and a rich history science development for centuries, Graz continues to inspire many scientists as it did before with Johannes Kepler, Ludwig Boltzmann and Erdwin Schrödinger. We are eager to learn from you.

Call for Papers

We encourage you to submit review/survey papers related with Industry 4.0, including all aspects related to manufacturing, including supporting tasks, e.g. cyber-physical production systems, smart process system. In addition we are looking for contributions that give an overview of the open challenges posters and open research questions or the related fields.

Overall topics to be addressed by this workshop include but are not limited to:

  • Secure data exchange and communication
  • Smart manufacturing & smart sensors
  • Machine learning (e.g. Deep Learning)
  • Swarm intelligence
  • (Big) data analytics & data science
  • Simulation & virtualisation
  • Decision making systems for production management and planning
  • Decision making systems for supply chain management and planning
  • Robust planning
  • Anomaly detection
  • Data-driven systems

Feel free to pass this information to anyone that would find this of interest.

Expected Audience

Researchers and practitioners from the field related to manufacturing and related fields, for example ICT.

Submission Format

Survey papers: We welcome submissions in the ACM format (templates are available here). As the papers are expected to be review papers there is no strict limit on the number of pages, but expected to be in the range between 4 pages to 12 pages.

Open challenges posters: In addition to survey paper we welcome poster submission giving an overview of the open research topics and main challenges of knowledge transfer between academia and industry (A1 posters, portrait - design is up to you). You may submit an extended abstract of your poster or the finished poster itself.

Submissions are conducted via: https://easychair.org/conferences/?conf=sami40

Important Dates

  • Deadline: August 31, 2016 September 16, 2016
  • Accept/Reject Notification: September 18, 2016 September 30, 2016
  • Camera ready version: October 09, 2016
  • i-KNOW 2016: October 18-19, 2016

Program (Wednesday, 19. October 2016)

  • 10:30 - 11:00
    Darko Stanisavljevic and Michael Spitzer
    A Review of Machine Learning in Manufacturing
  • 11:00 - 11:30
    Stefan Zander, Nadia Ahmed and Matthias T. Frank
    A Survey about the Usage of Semantic Technologies for the Description of Robotic Components and Capabilities
  • 11:30 - 12:00
    Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl and Andreas Kyek
    Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry
  • 12:00 – 14:00
    Lunch break
  • 14:00 - 14:30
    Tiago Santos and Roman Kern
    A Literature Survey of Early Time Series Classification and Deep Learning
  • 14:30 - 15:00
    Heimo Gursch, Andreas Wuttei and Theresa Gangloff
    Machine Learning in Manufacturing Information Systems
  • 15:00 - 15:30
    Andreas Felsberger, Bernhard Oberegger and Gerald Reiner
    A Review of Decision Support Systems for Manufacturing Systems

Each presentation is expected to last approximately 20 minutes to allow for 10 minutes of discussion.

Organising Committee

  • Roman Kern, Know-Center
  • Gerald Reiner, Alpen-Adria-Universität
  • Olivia Bluder, KAI

Program Committee

  • Andreas Felsberger
  • Michael Granitzer
  • Alexander Stocker
  • David Cemernek
  • Adrian Remonda
  • João de Freitas
  • Stefan Falk
  • Radu Grosu
  • Christin Seifert
  • Stefan Klampfl

Location

The workshop takes place within the i-KNOW 2016 conference

Messe Congress Graz
Messeplatz 1
8010 Graz
Austria