DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Identifying challenges in maintenance planning for on-demand UAM fleets using agent-based simulations

Sieb, Patrick and Michelmann, Johannes and Flöter, Felix and Wicke, Kai (2023) Identifying challenges in maintenance planning for on-demand UAM fleets using agent-based simulations. CEAS Aeronautical Journal. Springer. doi: 10.1007/s13272-023-00665-y. ISSN 1869-5590.

[img] PDF - Only accessible within DLR - Published version

Official URL: https://doi.org/10.1007/s13272-023-00665-y


The novel aircraft architectures for Urban Air Mobility (UAM), combined with pure on-demand operations, mean a significant change in aircraft operation and maintenance compared to traditional airliners. Future flight missions and related variables such as the aircraft position or utilisation are unknown for on-demand operation. Consequently, existing methods to optimise aircraft assignment and maintenance planning cannot be transferred. This study examines the behaviour of an aircraft fleet in an on-demand UAM transport system regarding the interlinking between operation and maintenance. Initially, a potential maintenance schedule for UAM vehicles is deduced. A transport and maintenance simulation is introduced where aircraft are modelled as agents servicing a simple network. As aircraft reach their maintenance intervals, they transfer to one of the maintenance bases and compete for that resource. Since that competition can result in avoidable waiting times, the maintenance costs are extended by running costs for the bases and opportunity costs for missed revenue during these waiting periods. Opportunity costs are cost drivers. To reduce the waiting times, two operational approaches are examined: Extending the opening hours of the maintenance facilities and checking the aircraft earlier to reduce simultaneous maintenance demand. While an extension of operating hours reduces the overall maintenance costs, the adjustment of tasks is more effective to lower waiting times. Thus, an improved system needs to use a combined approach. That combination results in overall maintenance costs of approximately $ 58 per flight hour of which about seven percent account for the opportunity costs.

Item URL in elib:https://elib.dlr.de/195879/
Document Type:Article
Title:Identifying challenges in maintenance planning for on-demand UAM fleets using agent-based simulations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sieb, PatrickUNSPECIFIEDhttps://orcid.org/0000-0003-3316-5429UNSPECIFIED
Wicke, KaiUNSPECIFIEDhttps://orcid.org/0000-0002-8220-6437UNSPECIFIED
Date:June 2023
Journal or Publication Title:CEAS Aeronautical Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Urban air mobility, Agent-based transport simulation, Maintenance planning, Technical operational ecosystem, On-demand operation
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 - Air Transport Operations and Impact Assessment
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Product Life Cycle Management
Deposited By: Sieb, Patrick
Deposited On:10 Jul 2023 08:53
Last Modified:12 Jul 2023 11:17

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.