Production-Level Artificial Intelligence Applications in Semiconductor Supply Chains

Chen Fu Chien; Hans Ehm; John W. Fowler; Karl G. Kempf; Lars Monch; Cheng Hung Wu

doi:10.1109/TSM.2023.3322142

Production-Level Artificial Intelligence Applications in Semiconductor Supply Chains

Chen Fu Chien, Hans Ehm, John W. Fowler, Karl G. Kempf, Lars Monch, Cheng Hung Wu

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This is a panel paper that discusses the use of Artificial Intelligence (AI) technologies to address production and supply chain level problems in semiconductor manufacturing. We have gathered a group of expert semiconductor researchers and practitioners from around the world who have developed AI solutions for various semiconductor problems. This paper aims to provide their answers to an initial set of questions and provide an overview of the AI developments and empirical studies to make suggestions for future directions in this arena.

Original language	English (US)
Pages (from-to)	560-569
Number of pages	10
Journal	IEEE Transactions on Semiconductor Manufacturing
Volume	36
Issue number	4
DOIs	https://doi.org/10.1109/TSM.2023.3322142
State	Published - Nov 1 2023
Externally published	Yes

Keywords

Artificial intelligence
manufacturing
supply chain

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/TSM.2023.3322142

Cite this

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title = "Production-Level Artificial Intelligence Applications in Semiconductor Supply Chains",

abstract = "This is a panel paper that discusses the use of Artificial Intelligence (AI) technologies to address production and supply chain level problems in semiconductor manufacturing. We have gathered a group of expert semiconductor researchers and practitioners from around the world who have developed AI solutions for various semiconductor problems. This paper aims to provide their answers to an initial set of questions and provide an overview of the AI developments and empirical studies to make suggestions for future directions in this arena.",

keywords = "Artificial intelligence, manufacturing, supply chain",

author = "Chien, {Chen Fu} and Hans Ehm and Fowler, {John W.} and Kempf, {Karl G.} and Lars Monch and Wu, {Cheng Hung}",

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AU - Chien, Chen Fu

AU - Ehm, Hans

AU - Fowler, John W.

AU - Kempf, Karl G.

AU - Monch, Lars

AU - Wu, Cheng Hung

PY - 2023/11/1

Y1 - 2023/11/1

N2 - This is a panel paper that discusses the use of Artificial Intelligence (AI) technologies to address production and supply chain level problems in semiconductor manufacturing. We have gathered a group of expert semiconductor researchers and practitioners from around the world who have developed AI solutions for various semiconductor problems. This paper aims to provide their answers to an initial set of questions and provide an overview of the AI developments and empirical studies to make suggestions for future directions in this arena.

AB - This is a panel paper that discusses the use of Artificial Intelligence (AI) technologies to address production and supply chain level problems in semiconductor manufacturing. We have gathered a group of expert semiconductor researchers and practitioners from around the world who have developed AI solutions for various semiconductor problems. This paper aims to provide their answers to an initial set of questions and provide an overview of the AI developments and empirical studies to make suggestions for future directions in this arena.

KW - Artificial intelligence

KW - manufacturing

KW - supply chain

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Production-Level Artificial Intelligence Applications in Semiconductor Supply Chains

Abstract

Keywords

ASJC Scopus subject areas

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