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

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 (Unpublished)

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Abstract

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.

Item URL in elib:https://elib.dlr.de/140417/
Document Type:Conference or Workshop Item (Speech)
Title:Matching Processes and Data for Improvement of Operational Performance in Aviation MRO
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Grof, ClemensClemens.Grof (at) dlr.deUNSPECIFIED
Kamtsiuris, AlexanderAlexander.Kamtsiuris (at) dlr.deUNSPECIFIED
Raddatz, FlorianFlorian.Raddatz (at) dlr.dehttps://orcid.org/0000-0002-0660-7650
Date:3 September 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:MRO, Process Improvement, Ontology, Digital Twin
Event Title:Deutscher Luft- und Raumfahrtkongress 2020
Event Location:Online
Event Type:national Conference
Event Dates:01.-03. Sep. 2020
Organizer:Deutsche Gesellschaft für Luft- und Raumfahrt
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Air Traffic Concepts and Operation (old)
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Process Optimisation and Digitalisation
Deposited By: Raddatz, Dr.-Ing. Florian
Deposited On:14 Jan 2021 08:04
Last Modified:14 Jan 2021 08:04

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