Semantic Model-Driven PLM Data Interoperability: An Application for Aircraft Ground Functional Testing with Eco-Design Criteria - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Semantic Model-Driven PLM Data Interoperability: An Application for Aircraft Ground Functional Testing with Eco-Design Criteria

(1) , (2) , (3) , (3) , (1)
1
2
3
D. Arena
  • Function : Author
  • PersonId : 996310
M. Oliva
  • Function : Author
  • PersonId : 1030675
I. Eguia
  • Function : Author
  • PersonId : 1030674
C. Del Valle
  • Function : Author
  • PersonId : 1030681
D. Kiritsis
  • Function : Author
  • PersonId : 991268

Abstract

The latest developments in Model-Based Systems Engineering (MBSE) and Product Life-Cycle Management (PLM) are playing a role in the evolution of the aeronautical industry. Despite the reluctance of this domain to accept the introduction of technology leaps in the production process - mostly due to safety reasons - aircraft manufacturers are slowly moving to a new digital factory concept. The deployment of a PLM Tool for Aircraft Ground Functional testing with Eco-design criteria can be leveraged to improve both sustainability of the assembly line and efficiency of the Ground System Tests process end to end, however, heterogeneous data interoperability represents one of the major challenges in this framework. The ontology-based solution proposed in this work addresses this challenge, thus, shows how semantics can be exploited to streamline the data pipeline throughout a PLM digital platform.
Fichier principal
Vignette du fichier
489100_1_En_38_Chapter.pdf (552.53 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02419195 , version 1 (19-12-2019)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

D. Arena, M. Oliva, I. Eguia, C. Del Valle, D. Kiritsis. Semantic Model-Driven PLM Data Interoperability: An Application for Aircraft Ground Functional Testing with Eco-Design Criteria. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.299-306, ⟨10.1007/978-3-030-30000-5_38⟩. ⟨hal-02419195⟩
35 View
35 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More