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Communication Dans Un Congrès Année : 2020

PLM Migration in the Era of Big Data and IoT: Analysis of Information System and Data Topology

Résumé

As product lifecycle management is starting to be a standard information system in most companies, a data manipulation issue starts to emerge. Indeed, the information contained in a system often needs to be accessible or even transferred to another one to exploit a new software’s functionalities. With the Big Data era, new methods of analysis start to emerge, and the graph visualisation of data enables a better human understanding of the data itself. We propose to address the PLM migration issues with a new approach based on analysis of information system and data topology. The data is passed onto a graph and bundles are made thanks to clustering algorithms; this bundling enables a better understanding of the data and ease migration. However, PLM has links between links which complicate the transition to graphs. Finally, the described use-case proves that data bundling eases the data migration and prevents some usual pitfalls and delays.
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hal-03753105 , version 1 (17-08-2022)

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Piers Barrios, François Loison, Christophe Danjou, Benoit Eynard. PLM Migration in the Era of Big Data and IoT: Analysis of Information System and Data Topology. 17th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2020, Rapperswil, Switzerland. pp.695-708, ⟨10.1007/978-3-030-62807-9_55⟩. ⟨hal-03753105⟩
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