Simulation-based approach to apply uncertainty evaluation framework, for PSS economic models

Camilo Murillo Coba (1, 2, 3) , Xavier Boucher (1, 4, 2, 3) , Khaled Medini (1, 4, 2, 3) , Jesus Gonzalez-Feliu (1, 5, 2, 3)

1 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
2 FAYOL-ENSMSE - Institut Henri Fayol
3 FAYOL-ENSMSE - Département Génie de l’environnement pour les organisations
4 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
5 EVS - Environnement, Ville, Société

PSS offerings are characterized by the presence of uncertainties due to the lack of information, in the design stage of the offer, about future events that the decision makers will face. These uncertainties must be anticipated to validate the profitability of PSS projects. In this paper, an approach to assess uncertainty is presented, then applied to a study case. This approach is an integration of the classical uncertainty management framework together with the quantitative uncertainty assessment framework. In the first part of this article, a literature review on uncertainty identification and assessment in the PSS context is presented. Then, an uncertainty assessment approach is proposed, with the methods and tools to implement it. Finally, the authors describe the results of the application to an industrial case study.

Domains: Modeling and Simulation

Camilo Murillo Coba, Xavier Boucher, Khaled Medini, Jesus Gonzalez-Feliu. Simulation-based approach to apply uncertainty evaluation framework, for PSS economic models. 11th CIRP Conference on Industrial Product-Service Systems (CIRP IPS2 2019), May 2019, Zhuhai and Hong Kong, China. pp.50-56, ⟨10.1016/j.procir.2019.02.138⟩. ⟨emse-02167808⟩