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Authors: Asyraf Nur Adianto and Nurhadi Siswanto

Affiliation: Institut Teknologi Sepuluh Nopember, Indonesia

Keyword(s): Aircraft Maintenance, Maintenance Scheduling, Particle Swarm Optimization, Greedy Randomized Adaptive Search Procedures.

Abstract: This research compares the performances of two metaheuristic methods: Particle Swarm Optimization (PSO) and a hybridized PSO method with Greedy Randomized Adaptive Search Procedures (GRASP) for solving aircraft maintenance problems (AMP). In this problem, AMP consists of two different maintenance activity types: inspection and continuous airworthiness maintenance programs (CAMP). The purpose of this paper is to determine the number of periods that the aircraft needs to be maintained and which inspection and CAMP tasks need to be done in each period. The problem is NP-Hard in nature, so that metaheuristic methods are used to make sure the optimization process can be solved quickly. Computational experiments are performed by using 16 conditions, and four randomly generated dataset instances. The computational experiment result shows that PSO-GRASP outperforms PSO for a larger planning horizon.

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Paper citation in several formats:
Adianto, A. and Siswanto, N. (2020). Hybridized Particle Swarm Optimization for Aircraft Inspection Check and Continuous Airworthiness Maintenance Program. In Proceedings of the 1st International Conference on Industrial Technology - ICONIT; ISBN 978-989-758-434-3, SciTePress, pages 29-35. DOI: 10.5220/0009403900290035

@conference{iconit20,
author={Asyraf Nur Adianto. and Nurhadi Siswanto.},
title={Hybridized Particle Swarm Optimization for Aircraft Inspection Check and Continuous Airworthiness Maintenance Program},
booktitle={Proceedings of the 1st International Conference on Industrial Technology - ICONIT},
year={2020},
pages={29-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009403900290035},
isbn={978-989-758-434-3},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Industrial Technology - ICONIT
TI - Hybridized Particle Swarm Optimization for Aircraft Inspection Check and Continuous Airworthiness Maintenance Program
SN - 978-989-758-434-3
AU - Adianto, A.
AU - Siswanto, N.
PY - 2020
SP - 29
EP - 35
DO - 10.5220/0009403900290035
PB - SciTePress

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