Predictive maintenance in the military domain: a systematic review of the literature

J Dalzochio, R Kunst, JLV Barbosa, PCS Neto… - ACM Computing …, 2023 - dl.acm.org
Military troops rely on maintenance management projects and operations to preserve the
materials' ordinary conditions or restore them to combat or military training. Maintenance …

An improved optimization algorithm for aeronautical maintenance and repair task scheduling problem

C Li, Y Zhang, X Su, X Wang - Mathematics, 2022 - mdpi.com
The maintenance of carrier-based aircraft is a critical factor restricting the availability of
aircraft fleets and their capacity to sortie and operate. In this study, an aeronautical …

Matheuristics and column generation for a basic technician routing problem

N Dupin, R Parize, EG Talbi - Algorithms, 2021 - mdpi.com
This paper considers a variant of the Vehicle Routing Problem with Time Windows, with site
dependencies, multiple depots and outsourcing costs. This problem is the basis for many …

Adapting Commercial Best Practices to US Air Force Maintenance Scheduling

K Blond, A Himschoot, E Klein, S Conley, A Clark - Aerospace, 2023 - mdpi.com
This paper presents how the Inspection Development Framework's (IDF) novel maintenance
scheduling technique increased aircraft utilization and availability in a sample of the United …

[PDF][PDF] Data Fusion for Optimal Condition-Based Aircraft Fleet Maintenance With Predictive Analytics.

Z FAN, KUOCHU CHANG, RAN JI, G CHEN - Journal of Advances in …, 2023 - isif.org
Flight and maintenance planning (FMP) for military aircraft aims to identify optimal
scheduling for a given ffeet by (1) determining which aircraft are available to ffy and for what …

Component maintenance planning optimization in defense aviation

M Verhoeff, WJC Verhagen - Aerospace, 2023 - mdpi.com
The primary objective in military aviation is to optimize operational readiness, the capability
to perform assigned flight missions. This capability is influenced by aircraft downtime due to …

Machine learning-guided dual heuristics and new lower bounds for the refueling and maintenance planning problem of nuclear power plants

N Dupin, EG Talbi - Algorithms, 2020 - mdpi.com
This paper studies the hybridization of Mixed Integer Programming (MIP) with dual heuristics
and machine learning techniques, to provide dual bounds for a large scale optimization …

Models and Algorithms for Data-Driven Scheduling

Z Fan - 2023 - search.proquest.com
The dissertation examines the problem of machine scheduling in an uncertain environment.
To address this challenge, the study employs both traditional operations research (OR) …

Digital Availability Twin–Targeted risk mitigation from design to operation

S Hilton, J Langton, P Conroy… - 2023 Annual Reliability …, 2023 - ieeexplore.ieee.org
SUMMARY & CONCLUSIONSModel-Based Systems Engineering (MBSE) is a core
technology in facilitating the digital transformation initiatives led by industry and defence …

Military aircraft flight and maintenance planning model considering heterogeneous maintenance tasks

G Cha, J Park, I Moon - Reliability Engineering & System Safety, 2023 - Elsevier
This paper focuses on the military aircraft flight and maintenance planning (MAFMP)
problem, aiming to maximize aircraft availability. We consider heterogeneous maintenance …