Data Management Architectures for the Improvement of the Availability and Maintainability of a Fleet of Complex Transportation Systems: A State-of-the-Art Review

Damien Trentesaux (1) , Guillaume Branger (2)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
2 BOMBARDIER TRANSPORT FRANCE SAS

This paper deals with the way constructors of a fleet of complex systems, and especially, in the field of transportation, aim to improve the availability and the maintainability of their fleet during their use, fleet operated by a public operator or a private company. More precisely, the focus is set on the architecture of the data management system that supports this aim. In this context, this paper presents a literature review on the main existing approaches that address the architecting of the data management of fleet or a set of transportation systems with the target to improve directly or indirectly their availability or maintainability. For that purpose, a positioning typology is suggested, which enables to identify, characterize and evaluate the state-of-the-art from the point of view of an industrialist working in the transportation sector. A set of future research challenges are finally suggested.

Mots clés: Data architecture; Data management; Architecture; Transportation; Availability; Maintainability; Review

Domaines: Automatique / Robotique

Damien Trentesaux, Guillaume Branger. Data Management Architectures for the Improvement of the Availability and Maintainability of a Fleet of Complex Transportation Systems: A State-of-the-Art Review. Borangiu, Trentesaux, Thomas, Cardin. Service Orientation in Holonic and Multi-Agent Manufacturing, 762, Springer International Publishing, pp.93-110, 2018, Studies in Computational Intelligence, ⟨10.1007/978-3-319-73751-5_8⟩. ⟨hal-03411154⟩