Putting data to use in maintenance
- Before starting with smart maintenance and machine learning, get things done right. Big data and analytics are a great way to get the most out of your assets, but they are not always the biggest lever and require a solid data foundation. As shown it is possible to get more out of the resources you have with relatively simple tools by applying the right method and bringing together the right people. To turn a computer system into a working tool and take full advantage of the capabilities of modern software solutions, specific steps must be taken, and both management and personnel need to be involved in shaping the future business processes. Only the right processes are able to generate a solid data foundation and enable the RCM method to work and improve asset lifecycle management and overall costs.
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| Author: | Florian DefèrGND, Boris Kryukov |
|---|---|
| ISSN: | 2509-7350 |
| Parent Title (German): | UdZPraxis – Magazin für Betriebsorganisation in der digital vernetzten Wirtschaft |
| Subtitle (English): | A method to introduce data driven risk centered maintenance in companies |
| Other Person(s): | Philipp Jussen |
| Document Type: | Contribution to a Periodical |
| Language: | English |
| Date of Publication (online): | 2018/08/04 |
| Date of first Publication: | 2018/09/27 |
| Release Date: | 2020/08/26 |
| Tag: | Instandhaltung |
| Volume: | 4 |
| Issue: | 2 |
| First Page: | 52 |
| Last Page: | 56 |
| FIR-Number: | SV7205 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Dienstleistungsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
