An Experience Report on the Optimization of the Product Configuration System of Renault *

Hao Xu (1) , Souheib Baarir (2) , Tewfik Ziadi (3) , Siham Essodaigui (1) , Yves Bossu (1) , Lom Messan Hillah (4)

1 RENAULT
2 LRE - Laboratoire de Recherche de l'EPITA
3 MoVe - Modélisation et Vérification
4 Meritis

The problem of configuring a variability model is widespread in many different domains. Renault has developed its technology internally to model vehicle diversity. This technology relies on the approach known as knowledge compilation to explore the configurations space. However, the growing variability and complexity of the vehicles’ range hardens the space representation problem and may impact performance requirements. This paper tackles these issues by exploiting symmetries that represent isomorphic parts in the configuration space. The extensive experiments we conducted on datasets from Renault show our approach’s robustness and effectiveness: the achieved gain is a reduction of 52.13% in space representation and 49.81% in processing time on average.

Mots clés: Knowledge compilation; Product line; Variability model; Value Symmetries; Space vehicles; Knowledge engineering; Computational modeling; Parallel processing; Robustness; Space exploration; Complexity theory

Domaines: Informatique [cs]

Hao Xu, Souheib Baarir, Tewfik Ziadi, Siham Essodaigui, Yves Bossu, et al.. An Experience Report on the Optimization of the Product Configuration System of Renault *. 2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS), Jun 2023, Toulouse, France. pp.197-206, ⟨10.1109/ICECCS59891.2023.00032⟩. ⟨hal-04518663⟩