The industrial revolutions have challenged organisations to rethink their product design and manufacturing processes, making them faster and more connected to market demands and changes. Digital technologies have emerged with solutions to virtual represent physical objects, processes, systems, or assets to simulate and analyse the impact of manufacturing changes before actual implementation. However, the challenge is to deal with thousands of heterogeneous information sets which must be shared simultaneously by different groups within and across institutional boundaries. Each manufacturing industry has its format and model to represent the product in the development, manufacturing process, material features, etc. In this context, this paper explores a knowledge-based expert system to support the information exchange and inconsistency detection across the manufacturing process, specifically in an experimental application in the Aerospace Industry. The proposed framework was based on knowledge formalisation and semantic rules through ontologies, semantic reconciliation strategies and connectivity interfaces to manage information and knowledge and identify inconsistencies across the manufacturing system. It was mainly evaluated across the product and manufacturing design of sheet metal forming aluminium thin wall parts for the aerospace industry. Results demonstrate the capability of the approach to enhance data accuracy, coherence, and efficiency throughout the manufacturing of complex products. However, the solution presents challenges such as interdisciplinary collaboration in product design, specific information requirements for manufacturing planning, and the impact of production planning on manufacturing capacities.

中文翻译：

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基于知识的专家系统驱动信息可互操作的制造系统：航空航天工业中的实验应用


工业革命要求组织重新思考其产品设计和制造流程，使其更快、更紧密地适应市场需求和变化。数字技术已经出现，并提供了虚拟表示物理对象、流程、系统或资产的解决方案，以便在实际实施之前模拟和分析制造变更的影响。然而，挑战在于处理数千个异构信息集，这些信息集必须由机构内部和跨机构边界的不同群体同时共享。每个制造业都有自己的格式和模型来表示产品的开发、制造过程、材料特性等。在此背景下，本文探索了一种基于知识的专家系统来支持整个制造过程中的信息交换和不一致检测，特别是在航空航天工业的实验应用中。所提出的框架基于知识形式化和语义规则，通过本体、语义协调策略和连接接口来管理信息和知识并识别整个制造系统的不一致之处。主要评估了航空航天业钣金成型铝薄壁零件的产品和制造设计。结果证明该方法能够在复杂产品的整个制造过程中提高数据准确性、一致性和效率。然而，该解决方案也带来了挑战，例如产品设计中的跨学科协作、制造规划的具体信息要求以及生产规划对制造能力的影响。