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Enterprise Modeling for Dynamic Matching of Tactical Needs and Aircraft Maintenance Capabilities
Saab AB, Järfälla, Sweden.
Saab AB, Arboga, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5562-1424
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2022 (English)In: Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH , 2022, p. 370-383Conference paper, Published paper (Refereed)
Abstract [en]

The increasingly complex context of dynamic, high-tempo military air operations raises new needs for airbase aircraft maintenance and logistic support systems to more rapidly respond to changes in operational needs, with retained support resource efficiency. The future maintenance and support system are thus envisioned with improved net-centric capabilities to facilitate matching of tactical needs with aircraft maintenance capabilities. Today military Command and Control (C2) of tactical needs against airbase aircraft maintenance capabilities contain many manual activities. This constrains speed of execution as well as drives manning requirements, and there is a need to further develop existing IS and IT support. Thus the studied matching capability address these limitations through an approach based on improved integration of the air vehicle on-board health management system with corresponding ground-based functions, and exploitation of technologies such as big-data analytics, diagnostic-prognostics, Artificial Intelligence (AI), machine learning and reasoning systems in a system-of-system-wide service architecture. However, understanding the concept of matching of tactical needs and aircraft maintenance capabilities requires insights of complex multi-domain C2 interactions and interrelations between the tactical domain and the aircraft maintenance domain. Whereas each domain is quite well understood, the more detailed interrelations between the domains is less studied. This paper present an approach to this problem by creating useful representations of the underpinning insights, by enterprise modeling of abstract representations and definitions of relevant tactical and maintenance structures, processes, and resources, in the airbase context, to better understand the matching problem, and to address this problem through a holistic perspective.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2022. p. 370-383
Keywords [en]
Aircraft maintenance, Artificial Intelligence, Enterprise modeling, System-of-systems
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-57577DOI: 10.1007/978-3-030-93639-6_32ISI: 000777604600032Scopus ID: 2-s2.0-85125240320ISBN: 9783030936389 (print)OAI: oai:DiVA.org:mdh-57577DiVA, id: diva2:1643264
Conference
International Congress and Workshop on Industrial AI, IAI 2021 Virtual, Online 6 October 2021 through 7 October 2021 Code 272219
Available from: 2022-03-09 Created: 2022-03-09 Last updated: 2022-06-07Bibliographically approved

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Funk, PeterSohlberg, Rickard

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