| Vol-1793 urn:nbn:de:0074-1793-9 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# SAMI 2016
Science, Application and Methods in Industry 4.0

### Proceedings of the 1st International Workshop on Science, Application and Methods in Industry 4.0
co-located with (i-KNOW 2016)

### Graz, Austria, October 19, 2016.

Edited by

### Roman Kern *
Gerald Reiner **
Olivia Bluder ***

* Know-Center, Inffeldgasse 13, 8010, Graz, Austria
** Alpen-Adria-Universität, Universitätsstraße 65-67, 9020 Klagenfurt, Austria
*** KAI, Technologiepark Villach, Europastraße 8, 9524 Villach, Austria

## Table of Contents

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

2017-02-13: submitted by Roman Kern, metadata incl. bibliographic data published under Creative Commons CC0
2017-02-15: published on CEUR-WS.org |valid HTML5|