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|