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- W2206790495 abstract "Avoidable unscheduled maintenance events and unnec- essary spare parts deliveries are mostly caused by an incorrect choice of the underlying maintenance strategy. For a faster and more efficient supply of spare parts for aircrafts of an airline we examine options for improving the underlying logistics network integrated in an existing aviation industry network. This paper presents a dynamic prediction model as decision support for maintenance method selection con- sidering requirements of an entire flight network. The objective is to guarantee a high supply of spare parts by an optimal interaction of various network levels and thus to reduce unscheduled mainte- nance events and minimize total costs. By using a prognostics-based preventive maintenance strategy unscheduled component failures are avoided for an increase in availability and reliability of the entire system. The model is intended for use in an aviation company that utilizes a structured planning process based on collected failures data of components. Keywords—Aviation industry, Prognosis, Reliability, Preventive maintenance." @default.
- W2206790495 created "2016-06-24" @default.
- W2206790495 creator A5025106849 @default.
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- W2206790495 date "2012-08-29" @default.
- W2206790495 modified "2023-09-22" @default.
- W2206790495 title "An Integrated Logistics Model of Spare Parts Maintenance Planning within the Aviation Industry" @default.
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