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...
Gespeichert in:
Veröffentlicht in: | INFORMS journal on applied analytics 2023-03, Vol.53 (2), p.128-132 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |