9781249600190 - a demand side requirements model to forecast c-17 mobility aircraft availability von huscroft, joseph r. (3 Ergebnisse)

- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 19,67
EUR 14,00 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In.

- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 24,46
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. KlappentextrnrnCurrent aircraft forecasting methods of the Air Mobility Command (AMC) Directorate of Logistics rely on the experience of personnel and lead to after the fact, labor-intensive analysis. These deficiencies led AMC to the developmen.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 28,92
EUR 60,93 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - Current aircraft forecasting methods of the Air Mobility Command (AMC) Directorate of Logistics rely on the experience of personnel and lead to after the fact, labor-intensive analysis. These deficiencies led AMC to the development of a Mobility Aircraft Availability Forecasting (MAAF) model.… The purpose of the MAAF model is threefold: predict aircraft availability in order to provide the Tanker Airlift Control Center (TACC) with a forecast of aircraft that will be available for AMC mission requirements, provide what if capabilities that analyze the effects of tasking and policy changes, and to provide foresight into problems associated with aircraft availability (Briggs, 2003b). This research uses Arena simulation to model C-17 aircraft generation at a major enroute location to determine how significant the factors of crew chief manning and spares levels affect aircraft throughput and turn-times. From the simulation, ANOVA statistical techniques are applied to determine factor significance. In addition, a hierarchical structure of aircraft generation is generated to include the variability of unscheduled maintenance actions. This provides a more precise analysis of expected turn-time duration, which leads to overall throughput of the system. Ultimately, this research provides an key input to the MAAF project that will enable AMC to predict aircraft availability and provide the TACC with a monthly forecast of the number of aircraft that will be available to fulfill AMC mission requirements.