Cloud-based software promises to reduce green sand casting rejects and optimize additive consumption by applying predictive and prescriptive data analytics, machine learning and IoT functions to green-sand molding
Excerpt from the March 2019 issue of Foundry Management & Technology
The Smart factory "vision" is gaining global acceptance. It involves integrating data analytics, machine learning and IoT by incorporating sensors, SCADA and line-speed or near-real-time data-based analytics for process optimization. Predictive and prescriptive data decision-support, predicting highly accurate outcome has shifted the paradigm in manufacturing and many other industrial and consumer sectors. For manufacturers, rapid proliferation and advancement of information technologies, such as cloud computing, allows them to generate and store huge volumes of data.
In addition, the digitalization of the green sand casting process automation has empowered industries to collect and transmit near-real-time data. Cloud computing ensures data availability without geographic or physical limitations. By leveraging the power of data-based analytics and machine learning, industries are generating significant tangible and intangible profits.
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