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A system of systems framework for strategic cargo airlift using agent-based modelling

Kalliatakis, Nikolaos und Dietl, Tobias und Shiva Prakasha, Prajwal und Zill, Thomas und Nagel, Björn (2023) A system of systems framework for strategic cargo airlift using agent-based modelling. In: 13th EASN International Conference on Innovation in Aviation and Space for Opening New Horizons, 2716 (012048). IOP Science. 13th EASN International Conference, 2023-09-05 - 2023-09-08, Salerno, Italy. doi: 10.1088/1742-6596/2716/1/012048. ISSN 1742-6588.

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Offizielle URL: https://iopscience.iop.org/issue/1742-6596/2716/1

Kurzfassung

When there is a need to move cargo across the world in the fastest possible manner, airlift is the prime solution. Due to the potential extreme requirements of airlift, aircraft have to be capable of performing in a myriad of operational environments. To support future aircraft design loops, this work proposes a framework which couples aircraft design and operational effectiveness in an agent-based simulation, allowing a more direct evaluation of design choices. Aircraft are modelled with inputs akin to typical design tool outputs, and airlift operational objectives and events are parameterized to allow for user customization and mission tailoring. To deal with stochastic and unexpected events that occur within airlifts, such as aircraft servicing, cargo demand reformulation and airbase access restriction, the aircraft and cargo are modelled as agents and managed by a dispatcher. Aircraft bid for cargo with flights which are configured by the dispatcher, allowing cargo to choose its flight path according to the airlift objective. Through analyzing a theoretical disaster relief mission, the impact of disruptive events on airlift time, cost and cargo throughput is shown to be significant, motivating their inclusion in future analysis. An exploration of aircraft design and airlift objectives is also analyzed, which highlighted the variance in airlift performance due to changes in aircraft payload-range and operational logics. The results demonstrate the framework's ability to capture the varying complexities of the airlift system, exemplifying its utility in future airlift and aircraft design optimization and resilience testing.

elib-URL des Eintrags:https://elib.dlr.de/203259/
Dokumentart:Konferenzbeitrag (Anderer)
Titel:A system of systems framework for strategic cargo airlift using agent-based modelling
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kalliatakis, NikolaosNikolaos.Kalliatakis (at) dlr.dehttps://orcid.org/0000-0002-3176-7592156770534
Dietl, TobiasTobias.Dietl (at) dlr.dehttps://orcid.org/0009-0005-1860-6304156770535
Shiva Prakasha, PrajwalPrajwal.Prakasha (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zill, ThomasThomas.Zill (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Nagel, BjörnBjoern.Nagel (at) dlr.dehttps://orcid.org/0000-0001-8076-9853NICHT SPEZIFIZIERT
Datum:5 September 2023
Erschienen in:13th EASN International Conference on Innovation in Aviation and Space for Opening New Horizons
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
Band:2716
DOI:10.1088/1742-6596/2716/1/012048
Verlag:IOP Science
Name der Reihe:Journal of Physics: Conference Series
ISSN:1742-6588
Status:veröffentlicht
Stichwörter:Strategic airlift, agent-based modelling and simulation, aircraft design, HA/DR
Veranstaltungstitel:13th EASN International Conference
Veranstaltungsort:Salerno, Italy
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:5 September 2023
Veranstaltungsende:8 September 2023
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L - keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):L - keine Zuordnung
Standort: Hamburg
Institute & Einrichtungen:Institut für Systemarchitekturen in der Luftfahrt > Automatisierung, Energie und Sicherheit
Hinterlegt von: Kalliatakis, Nikolaos
Hinterlegt am:02 Apr 2024 14:28
Letzte Änderung:18 Jun 2024 13:09

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