AI-LCE: Adaptive and Intelligent Life Cycle Engineering by applying digitalization and AI methods – An emerging paradigm shift in Life Cycle Engineering
| Autor: | Peter Funk, Mobyen Uddin Ahmed, Marcus Bengtsson, Tomohiko Sakao, Johannes Matschewsky |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Life Cycle Engineering business.industry Human intelligence Computer science 02 engineering and technology 010501 environmental sciences 01 natural sciences Engineering management 020901 industrial engineering & automation Paradigm shift Key (cryptography) General Earth and Planetary Sciences Internet of Things business 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | Procedia CIRP. 98:571-576 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2021.01.153 |
| Popis: | This paper presents a vision for a much-needed paradigm shift in Life Cycle Engineering (LCE), which is termed Adaptive and Intelligent Life Cycle Engineering (AI-LCE). To do so, interdisciplinary analysis of literature in domains of AI and LCE is performed. Needed concepts and methods are described: key enabling technologies are Artificial Intelligence (AI), the Internet of Things, and data lakes, which are becoming cost-effective and increasingly implemented in industry. Both artificial and human intelligence are used in combination. Its advantages compared with the conventional LCE include shorter time for changing activities in the lifecycle and the accuracy of changes made. |
| Databáze: | OpenAIRE |
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