Abstract
Rising production costs and efficiency requirements are challenges for manufacturing companies. One possibility to cope with these challenges is to improve maintenance efficiency and effectiveness by integrating predictive maintenance tools into cyber-physical production systems. However, the integration of these tool information into production and maintenance planning systems in order to determine necessary maintenance tasks is one of the main challenges for manufacturing companies. Therefore, this paper presents an innovative system for an effective integrated production and maintenance planning in complex cyber-physical production systems using multi-criteria decision-making. A prototypical application is presented to demonstrate the feasibility of the approach.
Originalsprache | Englisch |
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Seiten (von - bis) | 534-539 |
Seitenumfang | 6 |
Fachzeitschrift | Procedia CIRP |
Jahrgang | 79 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2019 |
Extern publiziert | Ja |
Veranstaltung | 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018 - Naples, Italien Dauer: 18 Juli 2018 → 20 Juli 2018 |