What are Examples of Big Data in Manufacturing?
Big data in manufacturing provides valuable insights into a factory floor. Big data analytics gives you visibility into how your machines perform.
Automotive
Versatech Increased OEE 30%
Consumer Package Goods
Oral Biotech Eliminated Scrap
Food/Beverage
Louisiana Fish Fry Increases OEE 12%
Metal Stamping
H&T Waterbury Reduced Downtime 71%
Blow Molding
Lyons Blow Molding Automated Reporting & Labeling
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The Smart Factory Software category features comprehensive blog posts that discuss various types of manufacturing software, their usage, benefits, and potential challenges. Readers can explore in-depth analyses, practical tips, and expert recommendations to help them make informed decisions when selecting and implementing software solutions for their manufacturing operations.
Big data in manufacturing provides valuable insights into a factory floor. Big data analytics gives you visibility into how your machines perform.
OEE is the most inflammatory manufacturing metric according to industry experts. Is OEE a valid metric to evaluate productivity and efficiency?
65% of global companies use cloud storage services. Did you know the cloud is secure? And no, it is not easier to provide your own, on-premise data center.
OEE can show performance, quality, and availability problems, but it is a flawed manufacturing metric because it provides no context.
Manufacturing dashboard in Excel is a lot to manage, requiring constant updates. Automatically generated data (no more Excel data!) is more efficient.
How can you keep up without data to provide helpful insights into your factory floor? Data visualization in manufacturing is essential.
A smart factory will provide visibility, connectivity, and autonomy via real-time insight. Manufacturing software needs to be implemented to do this.
Business intelligence in manufacturing is analytics that provides insights into manufacturing processes and provides plant floor visibility.
This blog outlines the top use cases of IoT in manufacturing and examines how IoT devices and software will be leveraged for productivity in the future.
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