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

Authors Chen-Fu Chien, Hans Ehm, John W. Fowler, Lars Mönch and all authors of the abstracts in this report



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Author Details

Chen-Fu Chien
  • Department of Industrial Engineering & Engineering Management, National Tsing Hua University, Hsinchu, Taiwan
Hans Ehm
  • Supply Chain Innovation, Infineon Infineon Technologies, München, Germany
John W. Fowler
  • Department of Supply Chain Management, Arizona State University, Tempe, USA
Lars Mönch
  • Chair of Enterprise-wide Software Systems, University of Hagen, Germany
and all authors of the abstracts in this report

Cite AsGet BibTex

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)
https://doi.org/10.4230/DagRep.10.5.1

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.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Modeling and simulation
  • Information systems
Keywords
  • Modeling
  • Simulation
  • Smart Manufacturing
  • Analytics
  • Semiconductor Manufacturing

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