Department: Quality

What is the difference between IoT and IIoT? This article dispels the IoT and IIoT confusion and clarifies why they matter to manufacturers, and what benefits manufacturers gain by using them.

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Measuring, tracking, and interpreting your reliability score doesn’t need to be time-consuming or complex. Here are three simple ways that the food manufacturing industry can use IIoT to improve reliability.

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Improving reliability is often easier in concept than in execution. Reliability is tricky enough to improve in most industries, but paper and packaging manufacturers have their own unique challenges. Here’s how Industry 4.0 and IIoT help you pick up your reliability efforts where these tools leave off.

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One of Braincube’s Food and Beverage customers wanted to use Industry 4.0 technologies to tackle their quality and consistency challenges. They were having issues with excess waste and wanted a way to reduce scrap, as this would help both their bottom line and their sustainability efforts.

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Product traceability means going beyond understanding what a product is made of. It also includes understanding the intricate details of how a product was made. Here’s how improved product traceability can help food manufacturers address five big challenges, including quality, safety, and reducing costs.

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Spending hours finding new optimizations, combing through a busy market of vendors, or relying on spur-of-the-moment decision-making is not an ideal path to success. Here’s how IIoT helps packaging manufacturers address four common challenges to stay competitive and find continued success in this aggressive market.

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Discover how Industry 4.0 tools help you break through bottlenecks and build a company culture rooted in continuous improvement for now and in the future.

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Industry 4.0 or more specifically Pharma 4.0 can help your company make improvements in quality, compliance and other important areas. But how can pharmaceutical companies implement Pharma 4.0?

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Incorporate real-time and forecasted weather data to predict and prescribe operating conditions. This feature improves production analysis and provides actionable recommendations adapted to your live production conditions. Learn more about Braincube’s weather feature.

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A Digital Twin of your manufacturing data turns historical data into a contextualized resource to improve process, find new revenue streams, and increase operating profits. Access resources on AI and manufacturing, how a Digital Twin can improve industrial operations, and customer use cases.

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