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Decision-Making Techniques for Smart Semiconductor Manufacturing (Dagstuhl Seminar 23362)

Authors: Hans Ehm, John Fowler, Lars Mönch, and Daniel Schorn

Published in: Dagstuhl Reports, Volume 13, Issue 9 (2024)


Abstract
In September 2023 the Dagstuhl Seminar 23362 explored the needs of the semiconductor industry for novel decision-making techniques and the related information systems to empower flexible decisions for smart production. The seminar participants also spent time identifying requirements for a simulation testbed which allows for assessing smart planning and control decisions in the semiconductor industry. The 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 further sections.

Cite as

Hans Ehm, John Fowler, Lars Mönch, and Daniel Schorn. Decision-Making Techniques for Smart Semiconductor Manufacturing (Dagstuhl Seminar 23362). In Dagstuhl Reports, Volume 13, Issue 9, pp. 69-102, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@Article{ehm_et_al:DagRep.13.9.69,
  author =	{Ehm, Hans and Fowler, John and M\"{o}nch, Lars and Schorn, Daniel},
  title =	{{Decision-Making Techniques for Smart Semiconductor Manufacturing (Dagstuhl Seminar 23362)}},
  pages =	{69--102},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{9},
  editor =	{Ehm, Hans and Fowler, John and M\"{o}nch, Lars and Schorn, Daniel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.9.69},
  URN =		{urn:nbn:de:0030-drops-198216},
  doi =		{10.4230/DagRep.13.9.69},
  annote =	{Keywords: analytics, modeling, semiconductor manufacturing, simulation, smart manufacturing}
}
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