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Communication Dans Un Congrès Année : 2021

A Knowledge-Based Approach for Decision Support System in Additive Manufacturing

Résumé

The large amount and different types of data and knowledge generated within the Additive Manufacturing (AM) value chain are highly challenging in terms of management and organization. Understanding the interconnections between all these immaterial corpuses is important for decision making and process optimization issues. Moreover, AM has more parameters than conventional manufacturing processes, and many of these parameters are difficult to assess and monitor. Therefore, it becomes important to develop computer-based solutions that are able to aid the decision maker and to support the management of all information along the AM value chain. In this paper, a knowledge-based decision support framework using ontological models and mechanisms is proposed for the above objective. Cost estimation is conducted as an application of the proposed framework.
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hal-03432419 , version 1 (10-01-2023)

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Qussay Jarrar, Farouk Belkadi, Alain Bernard. A Knowledge-Based Approach for Decision Support System in Additive Manufacturing. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.319-327, ⟨10.1007/978-3-030-85914-5_34⟩. ⟨hal-03432419⟩
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