Improve Total Production Maintenance with Artificial Intelligence
| Autor: | Juliette Mattioli, Paolo Perico, Pierre-Olivier Robic |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science 02 engineering and technology Maintenance engineering Lean manufacturing Predictive maintenance 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Reinforcement learning Production (economics) 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | AI4I |
| DOI: | 10.1109/ai4i49448.2020.00019 |
| Popis: | With Lean 4.0, Symbolic AI (Artificial Intelligence) and data-driven AI are becoming a cornerstone to Total production Maintenance (TMP). We present in this paper is a brief overview of various AI techniques which are use to improve TMP in order to address some preventive, predictive and prescriptive maintenance issues. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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