Application of an ontology-based decision support system for the design of emulsion-based cosmetic products - Université de Lorraine
Communication Dans Un Congrès Année : 2022

Application of an ontology-based decision support system for the design of emulsion-based cosmetic products

Résumé

The decision-making process for the design of formulated products faces different challenges because of its intrinsic complexity. On the one hand, it is not sequential, but iterative due to the fragmented and heterogeneous nature of available information. On the other hand, there is not a unique design workflow because it changes from company to company according to its context and specific requirements. The lack of structure of knowledge for product formulation requires developing a robust knowledge representation to show coherently and explicitly concepts, models, and data. Furthermore, this representation must allow design teams to use it flexibly and to adapt it to specific design contexts. In view of the above, this work proposes an ontology for formulated products with emphasis on cosmetic emulsions. This ontology integrates concepts from emulsion science, cosmetic formulation, expert knowledge, and design heuristics in a systematic and accessible way. It was done based on the recent work of our research group in Chemical Product Design. This document shows an overview of the ontology and one of its possible applications: verification of the formulation of a skin care cream. As a conclusion, it was found that the ontology enables the access to precise information according to design requirements. It is a versatile and useful information tool for the design of emulsion-based products.
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Dates et versions

hal-04673718 , version 1 (20-08-2024)

Identifiants

Citer

Juliana Serna, Jose Rivera-Gil, Alex Gabriel, Javier Arrieta-Escobar, Vincent Boly, et al.. Application of an ontology-based decision support system for the design of emulsion-based cosmetic products. 32nd European Symposium on Computer Aided Process Engineering, Jun 2022, Toulouse, France. pp.847-852, ⟨10.1016/B978-0-323-95879-0.50142-9⟩. ⟨hal-04673718⟩
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