AI and BD in Process Industry: A Literature Review with an Operational Perspective
| Autor: | Chiara Eleonora De Marco, Rosanna Fornasiero, Lorenz Kiebler, David F. Nettleton, Alicia Martinez de Yuso |
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| Rok vydání: | 2022 |
| Předmět: |
0209 industrial biotechnology
Discrete manufacturing Computer science business.industry Perspective (graphical) Big data Intelligent decision support system 02 engineering and technology Work in process 021001 nanoscience & nanotechnology Engineering management 020901 industrial engineering & automation Operations management Artificial Intelligence Big Data Process industry Process control Process industry 0210 nano-technology Lagging business |
| Zdroj: | Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems-IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part V IFIP Advances in Information and Communication Technology IFIP Advances in Information and Communication Technology-Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems |
| ISSN: | 1868-4238 1868-422X |
| Popis: | Among digital technologies, Artificial Intelligence (AI) and Big Data (BD) have proven capability to support different processes, mainly in discrete manufacturing. Despite the fact that a number of AI and BD literature reviews exist, no comprehensive review is available for the Process Industry (i.e. cements, chemical, steel, and mining). This paper aims to provide a comprehensive review of AI and BD literature to gain insights into their evolution supporting operational phases of the Process Industry. Results allow to define the areas where AI/BD are proven to have greater impact and areas with gaps like for example the process control (predictive models) area, machine learning and cyber-physical systems technologies. The sectors lagging behind are Ceramics, Cement and non-ferrous metals. Areas to be studied in the future include the interaction between intelligent systems. humans and the external environment, the implementation of AI for the monitoring and optimization of parameters of different operations, ethical and social impact. |
| Databáze: | OpenAIRE |
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