Towards artificial intelligence at scale in the chemical industry
In the Industry 4.0 era, the chemical industry is embracing broad adoption of artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic view of how the industry is transforming digitally towards AI at scale. First, a historical perspective on how the industry u...
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| Veröffentlicht in: | AIChE journal 2022-06, Vol.68 (6), p.n/a |
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| creator | Chiang, Leo H. Braun, Birgit Wang, Zhenyu Castillo, Ivan |
| description | In the Industry 4.0 era, the chemical industry is embracing broad adoption of artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic view of how the industry is transforming digitally towards AI at scale. First, a historical perspective on how the industry used AI to aid humans in better decision‐making is shown. Then state‐of‐the‐art AI research addressing industrial needs on reliability and safety, process optimization, supply chain, material discovery, and reaction engineering is highlighted. Finally, a vision of the plant of the future is illustrated with critical components of AI‐ready culture, model life cycle management, and renewed role of humans in chemical manufacturing. |
| doi_str_mv | 10.1002/aic.17644 |
| format | Article |
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| language | eng |
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| source | Wiley Online Library All Journals |
| subjects | Artificial intelligence Chemical industry Critical components Decision making fault diagnosis industrial applications Life cycles Machine learning Optimization Reliability engineering Supply chains |
| title | Towards artificial intelligence at scale in the chemical industry |
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