Abstract
In the era of industry 4.0, the design of complex engineered systems is a challenging mission, and most researchers would argue that it is linked to intentional action and it cannot emerge out of complexity. In fact, to achieve the common ‘cost/quality/delay’ targets, engineers must work together to create the best overall solution from their individual components, and exploit and regenerate the required intellectual capital (Knowledge). Therefore, to be effective, we need a knowledge based system that takes into consideration all the users’ needed methods to create share reuse and evaluate knowledge. Thus, using complex adaptive system theory, mainly Distributed Artificial Intelligence (holonic agent paradigm), a new knowledge-based system can be designed to address this research issue. In this regard, the purpose of this paper is first to provide a comparative analysis of the appropriate method that considers the global challenges for designing a product in a concurrent engineering context. Second, a holonic multi-agent system, called SmartDFRelevance is proposed based on Agent-oriented Software Process for Complex Engineering Systems methodology.
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Benabdellah, A.C., Bouhaddou, I., Benghabrit, A. (2021). SmartDFRelevance: A Holonic Agent Based System for Engineering Industrial Projects in Concurrent Engineering Context. In: Masrour, T., Cherrafi, A., El Hassani, I. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Advances in Intelligent Systems and Computing, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-51186-9_8
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