Category theory-based collaborative design methodology for mechatronic systems. (January 2023)

• Record Type: Journal Article
• Authors: Fradi, Mouna; Mhenni, Faïda; Gaha, Raoudha; Mlika, Abdelfattah; Choley, Jean-Yves
• Is Part Of: Advanced engineering informatics. Volume 55(2023)
• Publication Date: 2023-01
• Subjects: Collaborative design -- Mechatronic systems -- Knowledge management -- Multi-disciplinary design -- Crucial knowledge identification -- Conflict resolution process -- Category theory; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2022.101865
• Languages: English
• ISSNs: 1474-0346

Abstract

Abstract: Recent advances in companies are characterized by highly dynamic, knowledge-intensive and collaborative process. This has become primary concern for mechatronic systems since they involve multiple disciplines and knowledge. This requires a close exchange in order to share knowledge between the different design teams. The first step in knowledge sharing is to identify the most important knowledge that need to be capitalized, which we call "crucial knowledge". During this exchange, heterogeneous knowledge and modelling languages are involved in the design process, which can lead to conflicts. Hence, the challenge is to continuously capture and handle such conflicts between expert models. Thus, the focus of this paper is to propose a new collaborative design model suitable for mechatronic concurrent design. Our contribution lies in identifying crucial knowledge and resolving conflicts in a formal way in order to ensure efficient collaboration. Our methodology called Category Theory-based Collaborative Design (CaTCoD) is described with its associated meta -model. A demonstrator is also used to validate the proposed methodology using an example from the aeronautic field.