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Developing prescriptive maintenance strategies in the aviation industry based on a discrete-event simulation framework for post-prognostics decision making

Meissner, Robert and Rahn, Antonia and Wicke, Kai (2021) Developing prescriptive maintenance strategies in the aviation industry based on a discrete-event simulation framework for post-prognostics decision making. Reliability Engineering & System Safety, 214. Elsevier. doi: 10.1016/j.ress.2021.107812. ISSN 0951-8320.

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Official URL: https://www.sciencedirect.com/science/article/pii/S0951832021003331?via%3Dihub

Abstract

The aviation industry is facing an ever-increasing competition to lower its operating cost. Simultaneously, new factors, such as sustainability and customer experience, become more important to differentiate from competitors. As aircraft maintenance contributes about 20% to the overall cost of airline operations and can significantly influence other objectives of an airline as well, maintenance providers are required to constantly lower their cost share and contribute to a more reliable and sustainable aircraft operation. Subsequently, new condition-monitoring technologies have emerged that are expected to improve maintenance operations by reducing cost and increasing the aircraft’s availability. As many of these technologies are still in their technological infancy, it is necessary to determine the expected benefit for the airline operations with the given technological maturity and to develop suitable maintenance strategies that incorporate the newly gained insights. With this paper, a discrete-event simulation framework is developed that uses established parameters to describe a condition-monitoring technology’s performance and subsequently develops a suitable prescriptive maintenance strategy. Therefore, it enables the adjustment of the optimization goal for the developed strategy to incorporate performance features beyond the frequently used financial indicators. The developed capabilities will be demonstrated for the tire pressure measurement task of an Airbus A320.

Item URL in elib:https://elib.dlr.de/142630/
Document Type:Article
Title:Developing prescriptive maintenance strategies in the aviation industry based on a discrete-event simulation framework for post-prognostics decision making
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Meissner, RobertRobert.Meissner (at) dlr.dehttps://orcid.org/0000-0002-5299-4006
Rahn, AntoniaAntonia.Rahn (at) dlr.dehttps://orcid.org/0000-0002-0528-5629
Wicke, Kaikai.wicke (at) dlr.dehttps://orcid.org/0000-0002-8220-6437
Date:31 May 2021
Journal or Publication Title:Reliability Engineering & System Safety
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:214
DOI :10.1016/j.ress.2021.107812
Publisher:Elsevier
ISSN:0951-8320
Status:Published
Keywords:Prescriptive maintenance; Stakeholder model; Prognostics and Health Management; Maintenance decision making; Discrete-event simulation; Maintenance strategies; PreMaDe
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - MRO and Cabin, L - Digital Technologies
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Product Life Cycle Management
Deposited By: Meissner, Robert
Deposited On:07 Jun 2021 07:01
Last Modified:07 Jun 2021 07:01

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