Efficient Task Scheduling Using Constraints Programming for Enhanced Planning and Reliability

This paper presents an efficient schedule method for maintenance, repair, and overhaul (MRO) tasks for aircraft engines using a constraint programming algorithm. Using data obtained from Korean Air’s MRO maintenance logs, we analyze and predict the optimal scheduling of regular inspections and fault...

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Bibliographic Details
Published in:Applied sciences Vol. 14; no. 23; p. 11396
Main Authors: Cho, JaeBong, Jung, Soonil, Yang, Kyungmo, Kim, Dohun, Kim, WonJong
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.12.2024
Subjects:
Aircraft
Aircraft engines
Airlines
Airplane engines
Algorithms
Aviation
constraint programming
Data analysis
Deep learning
Efficiency
Forecasts and trends
Genetic algorithms
Heuristic
Job shops
Machine learning
maintenance optimization and repair
Manufacturing
Methods
MRO scheduling
OEM
Operations research
Optimization
Pareto optimum
Scheduling
ISSN:2076-3417, 2076-3417
Online Access:Get full text
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Summary:This paper presents an efficient schedule method for maintenance, repair, and overhaul (MRO) tasks for aircraft engines using a constraint programming algorithm. Using data obtained from Korean Air’s MRO maintenance logs, we analyze and predict the optimal scheduling of regular inspections and fault repairs for various engine types. By proposing a proper modeling of the problem and preparing data for the constraint programming algorithm, we demonstrate superior performance in scheduling efficiency and resource utilization. The experimental results show an average utilization of 99.35%, and the method can even achieve 100% utilization in some cases.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app142311396