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Knowledge-based expert system to drive an informationally interoperable manufacturing system: An experimental application in the Aerospace Industry
Journal of Industrial Information Integration ( IF 10.4 ) Pub Date : 2024-07-20 , DOI: 10.1016/j.jii.2024.100661
Anderson Luis Szejka , Osiris Canciglieri Junior , Fernando Mas

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:


基于知识的专家系统驱动信息化互操作的制造系统:航空航天工业中的实验性应用



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、更紧密地与市场需求和变化联系在一起。数字技术已经出现,解决方案以虚拟方式表示物理对象、流程、系统或资产,以便在实际实施之前模拟和分析制造变化的影响。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边界内和机构边界外的不同群体同时共享。每个制造业都有其格式和模型,以代表产品开发、制造过程、材料特性等中的产品。在此背景下,本文探讨了一种基于知识的专家系统,以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。拟议的框架基于知识形式化和语义规则,通过本体论、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。它主要在航空航天工业用钣金成型铝薄壁零件的产品和制造设计中进行评估。结果表明,该方法能够在整个复杂产品的制造过程中提高数据准确性、连贯性和效率。但是,该解决方案带来了挑战,例如产品设计中的跨学科协作、制造规划的特定信息要求以及生产规划对制造能力的影响。
更新日期:2024-07-20
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