Practice summary: GE optimizes for aircraft engine overhaul scheduling and shop assignment

We present an optimization-based decision support system to generate optimal aircraft engine maintenance schedules that reflect qualitative and quantitative trade-offs from customer, business, and shop perspectives. The approach is currently implemented at GE Aviation Services for global overhaul ne...

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Veröffentlicht in:INFORMS journal on applied analytics 2023-03, Vol.53 (2), p.128-132
1. Verfasser: Umang, Nitish
Format: Artikel
Sprache:eng
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Zusammenfassung:We present an optimization-based decision support system to generate optimal aircraft engine maintenance schedules that reflect qualitative and quantitative trade-offs from customer, business, and shop perspectives. The approach is currently implemented at GE Aviation Services for global overhaul network induction planning for all commercial product lines. To rapidly iterate planning and adjust jet engine overhaul maintenance network capacity, GE Aviation implemented an optimization-based decision support system to schedule maintenance events, identify capacity misalignment, and identify cost-reduction opportunities. The approach generates optimal maintenance schedules that reflect qualitative and quantitative trade-offs from customer, business, and shop perspectives. The approach has been implemented and is currently in use at GE Aviation Services for global overhaul network induction planning for all commercial product lines monthly. History: This paper was refereed. Funding: This work was supported by GE Aviation.
ISSN:2644-0865
2644-0873
DOI:10.1287/inte.2022.1130