Enterprise Architecture Method for Continuous Improvement of PLM Based on Process Mining - Product Lifecycle Management Enabling Smart X
Communication Dans Un Congrès Année : 2020

Enterprise Architecture Method for Continuous Improvement of PLM Based on Process Mining

Résumé

The complexity and dynamics of IT landscapes and related PLM strategies of engineering enterprises are continuously growing due to trends such as Industry 4.0 and ever shorting product development cycles. To ensure interoperability, robustness, flexibility and efficiency of the IT systems and PLM, methods are needed that can handle these dynamics and complexities. In this paper, a method is presented that combines principles from enterprise architecture as well as business process mining to enable continuous improvement of PLM processes and the related IT systems. In particular, process mining is applied to validate the alignment of IT systems with related PLM processes. The method is demonstrated using an industrial case study that highlights the requirements from industrial practice and the applicability of the approach for PLM related processes. The method is shown to be particularly beneficial for the enterprise architects to support them with quantitative data as a basis for the design of continuous improvement cycles to make the PLM evolve. Future work will address the application of process mining for PLM related processes with distributed IT systems and the handling of the related complexity.
Fichier principal
Vignette du fichier
506696_1_En_45_Chapter.pdf (1.24 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03753144 , version 1 (17-08-2022)

Licence

Identifiants

Citer

Eugen Rigger, Thomas Vosgien, Samuel Bitrus, Piroska Szabo, Benoit Eynard. Enterprise Architecture Method for Continuous Improvement of PLM Based on Process Mining. 17th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2020, Rapperswil, Switzerland. pp.563-575, ⟨10.1007/978-3-030-62807-9_45⟩. ⟨hal-03753144⟩
123 Consultations
178 Téléchargements

Altmetric

Partager

More