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CBR and PLM applied to diagnosis and technical support during problem solving in the Continuous Improvement Process of manufacturing plants

机译:CBR和PLM在制造工厂的持续改进过程中应用于解决问题的诊断和技术支持

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Currently many multinational companies have manufacturing plants with similar processes, but they suffer from barriers to share knowledge. Knowledge Management (KM) techniques may help to capture and reuse knowledge generated during processes execution. Literature shows Case-Based Reasoning (CBR) as a technique for implementing KM, and Product Lifecycle Management Systems (PLM) as the main data repository of Product-Processes-Resources data. This paper proposes a Continuous Improvement Process (CIP) approach to facilitate the capture and reuse of knowledge, integrating CBR and PLM technologies. It aims supporting production technicians during the resolution of manufacturing daily problems directly at shop floor level.
机译:当前,许多跨国公司的制造工厂都采用类似的流程,但是它们在共享知识方面遇到障碍。知识管理(KM)技术可能有助于捕获和重用在流程执行过程中生成的知识。文献显示基于案例的推理(CBR)是一种用于实施KM的技术,而产品生命周期管理系统(PLM)是产品-过程-资源数据的主要数据存储库。本文提出了一种持续改进过程(CIP)方法,以促进知识的捕获和重用,并结合了CBR和PLM技术。它旨在在生产车间直接解决生产日常问题时支持生产技术人员。

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