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Matching Processes and Data for Improvement of Operational Performance in Aviation MRO

Grof, Clemens und Kamtsiuris, Alexander und Raddatz, Florian (2020) Matching Processes and Data for Improvement of Operational Performance in Aviation MRO. Deutscher Luft- und Raumfahrtkongress 2020, 2020-09-01 - 2020-09-03, Online. (nicht veröffentlicht)

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Kurzfassung

The performance of aviation Maintenance, Repair and Overhaul (MRO) tasks is characterized by a high share of manual work. Additionally, airlines and MRO organizations have to keep record of every maintenance task and transaction between companies. In order to stay competitive in the aviation MRO market, organizations are required to improve their operational performance and utilize their resources in a time- and cost-efficient way. To achieve the targeted efficiency, organizations run dedicated improvement projects. These improvement projects range from identifying, documenting and fine-tuning existing processes to a radical business process reengineering. The projects are often part of company-internal digitalization initiatives. When evaluating processes, it is essential to consider the whole organization and the connection between adjacent operations. Otherwise, an individual process might run optimal but up- and downstream tasks are executed in an inefficient way. In this context, digitalization opportunities, which enable vertical and horizontal integration of operations, need to be taken into account. They offer means to link manual tasks with documentation and data to use this information. In order to support aviation MRO organizations in improving their operations and implementing digital solutions, a dedicated methodology is developed and presented in the paper. Central element of the methodology is a defined architecture of MRO service related tasks and process data combinations, which is based on an ontological data model. The task-data combinations are developed based on information collected in a mutual research project with an industry partner. The application of a visual assistance system for manual scarf repairs of aircraft composite components serves as case study for this project. The application of the methodology enables an MRO organization – after mapping their processes and grouping tasks according to the introduced scheme – to match their operational tasks with the presented ontological data structure. The subsequent re-design of operational processes and data flows facilitates the utilization of collected information, the integration of operations and the achievement of an integrated optimum of the operational performance. The research approach and the application of the methodology are illustrated in FIGURE 1. The presented methodology contributes to research in process improvement, process reengineering and data-driven improvement of aviation MRO. The contribution lies in the integrated consideration of processes and data, the holistic approach – compared to optimization of particular aspects of MRO operations – and taking into account the characteristics of aviation MRO industry.

elib-URL des Eintrags:https://elib.dlr.de/140417/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Matching Processes and Data for Improvement of Operational Performance in Aviation MRO
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Grof, ClemensClemens.Grof (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kamtsiuris, AlexanderAlexander.Kamtsiuris (at) dlr.dehttps://orcid.org/0000-0001-5824-8066NICHT SPEZIFIZIERT
Raddatz, FlorianFlorian.Raddatz (at) dlr.dehttps://orcid.org/0000-0002-0660-7650NICHT SPEZIFIZIERT
Datum:3 September 2020
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:nicht veröffentlicht
Stichwörter:MRO, Process Improvement, Ontology, Digital Twin
Veranstaltungstitel:Deutscher Luft- und Raumfahrtkongress 2020
Veranstaltungsort:Online
Veranstaltungsart:nationale Konferenz
Veranstaltungsbeginn:1 September 2020
Veranstaltungsende:3 September 2020
Veranstalter :Deutsche Gesellschaft für Luft- und Raumfahrt
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehrsmanagement und Flugbetrieb
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AO - Air Traffic Management and Operation
DLR - Teilgebiet (Projekt, Vorhaben):L - Luftverkehrskonzepte und Betrieb (alt)
Standort: Hamburg
Institute & Einrichtungen:Institut für Instandhaltung und Modifikation > Prozessoptimierung und Digitalisierung
Hinterlegt von: Raddatz, Dr.-Ing. Florian
Hinterlegt am:14 Jan 2021 08:04
Letzte Änderung:24 Apr 2024 20:41

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