A general architecture of a 3D visualization system for shop floor management

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

“…The use of information and communication technologies such as IoT, machine learning and predictive analytics enable SMS to perform real-time monitoring and proactive control of the products, processes and equipment. The predictive capability of SMS makes them superior to the traditional manufacturing systems, enabling the SMS to detect product failure in real-time (He et al, 2019;Liang et al, 2019), predict the remaining useful life of the machine He et al, 2019), early process fault detection (Carvajal Soto et al, 2019) and process visualizations (Qian et al, 2019). Further, the SMS performs efficiently on the measures of warranty claims by the customers (Alqhatani et al, 2019), reduced scrap (Chauhan et al, 2019;Rajput and Singh, 2019), the defective product (Kucukogulo et al, 2018;Kang et al, 2018) and inspection errors (Kang et al, 2018;Uva et al, 2018).…”

Internet of Things Data Visualization for Business Intelligence

“…Concerning agricultural industries, proposed a multi-dimensional information visual analysis approach for market sales Big Data which employs a density-based clustering algorithm that would expel excessive data and just keep the effective information, aiming at providing the agricultural industries with a clear vision about market status and trends, and assisting with smart decision-making. Regarding the shop floor, Qian et al (2019) proposed a versatile architecture to perform 3D visualization on the shop floor Big Data collected through sensors and IoT technology in real time, with the aim of showing the real-time state of the shop floor comprehensively, thus enhancing production efficiency and reducing production costs. Aside from these, Kang et al (2018) proposed methods for visualization and spatial-temporal analysis of Big Earth data based on Keyhole Markup Language (KML) and employing Cesium, which is a java library for creating 3D virtual Earth and 2D maps in a web browser and would help reveal the correlation between dimensions and periodic trends within the Big Earth Data.…”

Augmented reality in support of intelligent manufacturing – A systematic literature review

“…Especially the tracking technology in different circumstances was still a research focus (Blanco-Novoa et al 2018;Kretschmer et al 2018;Tong et al 2016). As the technology matures, it becomes inherently important to be able to integrate AR solutions with the current information technology systems, for example, to visualise shop floor management information (Qian et al 2017).…”