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- W2943663952 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%." @default.
- W2943663952 created "2019-05-09" @default.
- W2943663952 creator A5091568844 @default.
- W2943663952 date "2019-01-01" @default.
- W2943663952 modified "2023-09-23" @default.
- W2943663952 title "Optimisation of a component replacement policy at KLM E&M using Predictive Maintenance" @default.
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