供应链
比例(比率)
工程类
化学工业
过程(计算)
可靠性(半导体)
人工智能
制造工程
透视图(图形)
制造业
计算机科学
管理科学
业务
营销
操作系统
环境工程
物理
量子力学
功率(物理)
作者
Leo H. Chiang,Birgit Braun,Zhenyu Wang,Iván Castillo
摘要
Abstract 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.
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