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Integrating Product-Service Systems into the manufacturing industry: Industry 4.0 perspectives

机译：将产品服务系统集成到制造业中：工业4.0的观点

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Industry 4.0 is the current trend in the technologies used in exchange of data in manufacturing. Product-service system is a concept that provides self-aware and self-learning machines, and consequently improve overall performance and maintenance management. Companies continually strive to increase production, but in recent years, the effects of this effort have demonstrated that provision of products alone with less resilient technology-enabled service industry is insufficient to remain competitive. The importance of leveraging flexibility and capabilities offered by cloud computing is inevitable, but adapting prognostics and health management algorithms to efficiently implement current data management technologies was research and develop in this study. In this paper, we present an integrated product-service system as a potential concept from a life-cycle perspective to reduce disruption, costs and associated services such as autonomous maintenance, through exchange of data to understand equipment degradation using sensors application, to aid timely services intervention for manufacturing processes transformation. The results is the knowledge base servitude backed by machine clusters generated data for different working conditions to improve operational efficiency using Cloud IoT to connect, process, store, and analyse data on the dashboard, locally and in the cloud for future health assessment.
机译：工业4.0是制造业数据交换所用技术的当前趋势。产品服务系统是一个提供自我意识和自我学习机器的概念，因此可以改善整体性能和维护管理。公司一直在努力提高产量，但是近年来，这种努力的效果表明，仅提供产品和具有较弱的技术支持的服务行业不足以保持竞争力。利用云计算提供的灵活性和功能的重要性是不可避免的，但是在本研究中，研究和开发了调整预测和健康管理算法以有效地实现当前数据管理技术。在本文中，我们从生命周期的角度提出了一种集成的产品服务系统，作为一个潜在的概念，以通过使用传感器应用程序交换数据以了解设备性能下降的情况，从而减少中断，成本和相关服务（如自动维护），从而及时提供帮助制造过程转换的服务干预。结果是，由机器集群支持的知识库服务役产生了针对不同工作条件的数据，以使用Cloud IoT在本地和云中的仪表板上连接，处理，存储和分析数据，以进行未来的健康评估，从而提高运营效率。

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