Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes
| Autor: | Reyes Garcia, José Roberto, Martinetti, Alberto, Jauregui Becker, Juan Manuel, Singh, Sarbjeet, van Dongen, Leonardus Adriana Maria, González-Prida Diaz, Vicente, Zamora Bonilla, Jesus Pedro |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
e-Maintenance
0209 industrial biotechnology Smart Maintenance Industry 4.0 business.industry Computer science Reliability (computer networking) 020208 electrical & electronic engineering Cyber-physical system Predictive Maintenance Context (language use) 02 engineering and technology Predictive maintenance Self-Maintenance 020901 industrial engineering & automation Risk analysis (engineering) Manufacturing 0202 electrical engineering electronic engineering information engineering Augmented reality Maintenance 4.0 business Productivity |
| Zdroj: | Handbook of Research on Industrial Advancement in Scientific Knowledge, 135-159 STARTPAGE=135;ENDPAGE=159;TITLE=Handbook of Research on Industrial Advancement in Scientific Knowledge |
| Popis: | Maintenance is one of the key application areas of Industry 4.0. Every day, maintenance managers and technicians face the challenge of ensuring maximum machine reliability and availability, while minimizing the utilization of materials consumed by maintenance and repairs. As productivity is pressured to further improve, finding a successful balance between these aspects is becoming increasingly difficult. Therefore, integrating condition-monitoring systems with predictive and prescriptive maintenance principles, a new Industry 4.0-based maintenance can be obtained that enables maintenance engineers to better deal with this challenge. In this context, Maintenance 4.0 expands existing maintenance functions by the integration of Industry 4.0 technologies, like internet of things, cyber physical systems, augmented reality, and 3D printing. This chapter presents the main maintenance areas that are supported and enabled by Industry 4.0 technologies and introduces an Industry 4.0-based predictive maintenance approach for the manufacturing industry. |
| Databáze: | OpenAIRE |
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