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Documents authored by Fowler, John

Found 2 Possible Name Variants:

Fowler, John W.

Document
DOI: 10.4230/DagRep.10.5.1
Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452)

Authors: Chen-Fu Chien, Hans Ehm, John W. Fowler, and Lars Mönch

Published in: Dagstuhl Reports, Volume 10, Issue 5 (2021)

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.
Cite as

Chen-Fu Chien, Hans Ehm, John W. Fowler, and Lars Mönch. Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452). In Dagstuhl Reports, Volume 10, Issue 5, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@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/entities/document/10.4230/DagRep.10.5.1},
  URN =		{urn:nbn:de:0030-drops-137410},
  doi =		{10.4230/DagRep.10.5.1},
  annote =	{Keywords: Modeling, Simulation, Smart Manufacturing, Analytics, Semiconductor Manufacturing}
}

Fowler, John

Document
DOI: 10.4230/DagRep.13.9.69
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}
}
Document
DOI: 10.4230/DagRep.6.2.28
Modeling and Analysis of Semiconductor Supply Chains (Dagstuhl Seminar 16062)

Authors: Chen-Fu Chien, Hans Ehm, John Fowler, and Lars Mönch

Published in: Dagstuhl Reports, Volume 6, Issue 2 (2016)

Abstract
In February 2016 the Dagstuhl Seminar 16062 explored the needs of the semiconductor industry for better planning and scheduling approaches at the supply chain level and the requirements for information systems to support the approaches. The seminar participants also spent time identifying the core elements of a conceptual reference model for planning and control of semiconductor manufacturing supply chains. 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.
Cite as

Chen-Fu Chien, Hans Ehm, John Fowler, and Lars Mönch. Modeling and Analysis of Semiconductor Supply Chains (Dagstuhl Seminar 16062). In Dagstuhl Reports, Volume 6, Issue 2, pp. 28-64, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{chien_et_al:DagRep.6.2.28,
  author =	{Chien, Chen-Fu and Ehm, Hans and Fowler, John and M\"{o}nch, Lars},
  title =	{{Modeling and Analysis of Semiconductor Supply Chains (Dagstuhl Seminar 16062)}},
  pages =	{28--64},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{2},
  editor =	{Chien, Chen-Fu and Ehm, Hans and Fowler, John and M\"{o}nch, Lars},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.2.28},
  URN =		{urn:nbn:de:0030-drops-58606},
  doi =		{10.4230/DagRep.6.2.28},
  annote =	{Keywords: Modeling, Simulation, Supply Chain Management, Semiconductor Manufacturing}
}
Document
DOI: 10.4230/DagSemProc.05281.1
05281 Abstracts Collection – Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems

Authors: John Fowler, Barry Nelson, Michael Pinedo, and Oliver Rose

Published in: Dagstuhl Seminar Proceedings, Volume 5281, Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems (2006)

Abstract
From 10.07.05 to 15.07.05, Dagstuhl Seminar 05281 ``Simulation \& Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar are put together in this paper.
Cite as

John Fowler, Barry Nelson, Michael Pinedo, and Oliver Rose. 05281 Abstracts Collection – Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems. In Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems. Dagstuhl Seminar Proceedings, Volume 5281, pp. 1-9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{fowler_et_al:DagSemProc.05281.1,
  author =	{Fowler, John and Nelson, Barry and Pinedo, Michael and Rose, Oliver},
  title =	{{05281 Abstracts Collection – Simulation \& Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems}},
  booktitle =	{Simulation \& Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems},
  pages =	{1--9},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5281},
  editor =	{John Fowler and Barry Nelson and Michael Pinedo and Oliver Rose},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05281.1},
  URN =		{urn:nbn:de:0030-drops-4109},
  doi =		{10.4230/DagSemProc.05281.1},
  annote =	{Keywords: Simulation, Scheduling}
}
Document
DOI: 10.4230/DagSemProc.05281.2
05281 Executive Summary – Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems

Authors: John Fowler, Barry Nelson, Michael Pinedo, and Oliver Rose

Published in: Dagstuhl Seminar Proceedings, Volume 5281, Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems (2006)

Abstract
In July 2005 the conference on "Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems" was held in Dagstuhl. This is the summary of the outcome of this week.
Cite as

John Fowler, Barry Nelson, Michael Pinedo, and Oliver Rose. 05281 Executive Summary – Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems. In Simulation & Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems. Dagstuhl Seminar Proceedings, Volume 5281, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{fowler_et_al:DagSemProc.05281.2,
  author =	{Fowler, John and Nelson, Barry and Pinedo, Michael and Rose, Oliver},
  title =	{{05281 Executive Summary – Simulation \& Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems}},
  booktitle =	{Simulation \& Scheduling: Companions or Competitors for Improving the Performance of Manufacturing Systems},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5281},
  editor =	{John Fowler and Barry Nelson and Michael Pinedo and Oliver Rose},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05281.2},
  URN =		{urn:nbn:de:0030-drops-4090},
  doi =		{10.4230/DagSemProc.05281.2},
  annote =	{Keywords: Simulation, scheduling}
}
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