Development of smart semiconductor manufacturing : operations research and data science perspectives
With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In the era of the smart world, semiconductor industry is one of the few global industries that are in a growth mode to smart...
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sg-ntu-dr.10356-1033032023-03-04T17:20:07Z Development of smart semiconductor manufacturing : operations research and data science perspectives Khakifirooz, Marzieh Fathi, Mahdi Wu, Kan School of Mechanical and Aerospace Engineering Cloud Computing Engineering::Mechanical engineering Cyber-physical Space With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In the era of the smart world, semiconductor industry is one of the few global industries that are in a growth mode to smartness, due to worldwide demand. The important opportunities that can boost the cost reduction of productivity and improve quality in wafer fabrication are based on the simulations of actual environment in Cyber-Physical Space and integrate them with decentralized decision-making systems. However, this integration faced the industry with novel unique challenges. The stream of the data from sensors, robots, and Cyber-Physical Space can aid to make the manufacturing smart. Therefore, it would be an increased need for modeling, optimization, and simulation for the value delivery from manufacturing data. This paper aims to review the success story of smart manufacturing in semiconductor industry with the focus on data-enabled decision making and optimization applications based on operations research and data science perspective. In addition, we will discuss future research directions and new challenges for this industry. Published version 2019-09-19T03:00:13Z 2019-12-06T21:09:31Z 2019-09-19T03:00:13Z 2019-12-06T21:09:31Z 2019 Journal Article Khakifirooz, M., Fathi, M., & Wu, K. (2019). Development of smart semiconductor manufacturing : operations research and data science perspectives. IEEE Access, 7, 108419-108430. doi:10.1109/ACCESS.2019.2933167 https://hdl.handle.net/10356/103303 http://hdl.handle.net/10220/49962 10.1109/ACCESS.2019.2933167 en IEEE Access © 2019 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license*, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given. 12 p. application/pdf |
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Cloud Computing Engineering::Mechanical engineering Cyber-physical Space Khakifirooz, Marzieh Fathi, Mahdi Wu, Kan Development of smart semiconductor manufacturing : operations research and data science perspectives |
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With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In the era of the smart world, semiconductor industry is one of the few global industries that are in a growth mode to smartness, due to worldwide demand. The important opportunities that can boost the cost reduction of productivity and improve quality in wafer fabrication are based on the simulations of actual environment in Cyber-Physical Space and integrate them with decentralized decision-making systems. However, this integration faced the industry with novel unique challenges. The stream of the data from sensors, robots, and Cyber-Physical Space can aid to make the manufacturing smart. Therefore, it would be an increased need for modeling, optimization, and simulation for the value delivery from manufacturing data. This paper aims to review the success story of smart manufacturing in semiconductor industry with the focus on data-enabled decision making and optimization applications based on operations research and data science perspective. In addition, we will discuss future research directions and new challenges for this industry. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Khakifirooz, Marzieh Fathi, Mahdi Wu, Kan |
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Article |
author |
Khakifirooz, Marzieh Fathi, Mahdi Wu, Kan |
author_sort |
Khakifirooz, Marzieh |
title |
Development of smart semiconductor manufacturing : operations research and data science perspectives |
title_short |
Development of smart semiconductor manufacturing : operations research and data science perspectives |
title_full |
Development of smart semiconductor manufacturing : operations research and data science perspectives |
title_fullStr |
Development of smart semiconductor manufacturing : operations research and data science perspectives |
title_full_unstemmed |
Development of smart semiconductor manufacturing : operations research and data science perspectives |
title_sort |
development of smart semiconductor manufacturing : operations research and data science perspectives |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/103303 http://hdl.handle.net/10220/49962 |
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1759858118243647488 |