Business Analytical Framework for the Manufacturing Industry

Emanuel Lima, Roy Bayot, Paulo Brito, N. Rodrigues, Bruno T. Ribeiro, Nuno Lopes
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引用次数: 1

Abstract

The new generation of connected devices is transforming the manufacturing industry, making it more data-driven than ever. Various technologies, from IoT sensors to data modelling and predictive engineering, need to be integrated into the production process to optimise the process and increase productivity. The success of manufacturers will depend on how they integrate and orchestrate these technological ecosystems into their business. In this paper, we address the challenge of the ever-increasing demand for digital transformation in the manufacturing industry by proposing Falcon as a business framework. This framework identifies and implements the key concepts and components for the factories of the future, using the aerospace manufacturing industry as a use case. Falcon is designed to integrate multiple data sources to extract and visualise key production indicators while securing the overall information flow. The validation of the proposed framework is done by implementing an instance of the Falcon architecture at Embraer, Portugal.
制造业的商业分析框架
新一代互联设备正在改变制造业,使其比以往任何时候都更受数据驱动。从物联网传感器到数据建模和预测工程,需要将各种技术集成到生产过程中,以优化流程并提高生产率。制造商的成功将取决于他们如何将这些技术生态系统整合和协调到他们的业务中。在本文中,我们通过提出Falcon作为业务框架来解决制造业不断增长的数字化转型需求的挑战。该框架使用航空航天制造业作为用例,确定并实现未来工厂的关键概念和组件。Falcon旨在集成多个数据源,以提取和可视化关键生产指标,同时确保整体信息流。通过在葡萄牙巴航工业公司实施猎鹰体系结构实例,对提出的框架进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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