Practice Summary: GE Optimizes for Aircraft Engine Overhaul Scheduling and Shop Assignment
Nitish Umang (),
Daniel Kiefer (),
Patricio Gonzalez (),
Henri Thevenot (),
Christopher D. Johnson (),
Jean Martin (),
Emily Stephenson (),
Jerrold Cline (),
Banu Gemici-Ozkan () and
Israel Beniaminy ()
Additional contact information
Nitish Umang: GE Global Research Center, Niskayuna, New York 12309
Daniel Kiefer: GE Aviation, Cincinnati, Ohio 45215
Patricio Gonzalez: GE Aviation, Cincinnati, Ohio 45215
Henri Thevenot: GE Aviation, Cincinnati, Ohio 45215
Christopher D. Johnson: GE Global Research Center, Niskayuna, New York 12309
Jean Martin: GE Aviation, Cincinnati, Ohio 45215
Emily Stephenson: GE Aviation, Cincinnati, Ohio 45215
Jerrold Cline: GE Global Research Center, Niskayuna, New York 12309
Banu Gemici-Ozkan: GE Global Research Center, Niskayuna, New York 12309
Israel Beniaminy: GE Global Research Center, Niskayuna, New York 12309
Interfaces, 2023, vol. 53, issue 2, 128-132
Abstract:
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.
Keywords: aviation; maintenance repair and overhaul; engine shop visit scheduling; optimization (search for similar items in EconPapers)
Date: 2023
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http://dx.doi.org/10.1287/inte.2022.1130 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:53:y:2023:i:2:p:128-132
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