University of Twente Student Theses
Optimisation of a component replacement policy at KLM E&M using Predictive Maintenance
Hof, Irene van den (2019) Optimisation of a component replacement policy at KLM E&M using Predictive Maintenance.
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| Abstract: | This study is an attempt to support KLM Engineering & Maintenance with the construction of a business case for a new data-driven maintenance application called 'Prognos'. Prognos is developed to improve MRO operations with Predictive Maintenance. Predictive component replacement policies, designed to reduce repair and spare part cost, were tested in a discrete-event simulation model. A case study for a particular system showed that inventory levels could be reduced with 20% and the average total cost with 30%. |
| Item Type: | Essay (Master) |
| Clients: | KLM, Amsterdam, Nederland |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 50 technical science in general |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/77909 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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