License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.10.5.1
URN: urn:nbn:de:0030-drops-137410
URL: https://drops.dagstuhl.de/opus/volltexte/2021/13741/
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Chien, Chen-Fu ; Ehm, Hans ; Fowler, John W. ; Mönch, Lars
Weitere Beteiligte (Hrsg. etc.): Chen-Fu Chien and Hans Ehm and John W. Fowler and Lars Mönch

Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452)

pdf-format:
dagrep_v010_i005_p001_20452.pdf (2 MB)


Abstract

In November 2020 the Dagstuhl Seminar 20452 explored the needs of the semiconductor industry for making smart semiconductor manufacturing decisions and the information systems to empower flexible decisions for smart production. The seminar participants also spent time identifying the core elements for a simulation testbed which allows for assessing smart planning and control decisions in the semiconductor industry. This Executive Summary describes the process of the seminar and discusses key findings and areas for future research regarding these topics. Abstracts of presentations given during the seminar and the output of breakout sessions are collected in appendices.

BibTeX - Entry

@Article{chien_et_al:DagRep.10.5.1,
  author =	{Chien, Chen-Fu and Ehm, Hans and Fowler, John W. and M\"{o}nch, Lars},
  title =	{{Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452)}},
  pages =	{1--18},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{10},
  number =	{5},
  editor =	{Chien, Chen-Fu and Ehm, Hans and Fowler, John W. and M\"{o}nch, Lars},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/13741},
  URN =		{urn:nbn:de:0030-drops-137410},
  doi =		{10.4230/DagRep.10.5.1},
  annote =	{Keywords: Modeling, Simulation, Smart Manufacturing, Analytics, Semiconductor Manufacturing}
}

Keywords: Modeling, Simulation, Smart Manufacturing, Analytics, Semiconductor Manufacturing
Collection: DagRep, Volume 10, Issue 5
Issue Date: 2021
Date of publication: 15.03.2021


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