Articles Archives - Braincube

Achieving production consistency: tools and tactics for engineers

Discover how engineering teams can ensure manufacturing repeatability in the face of endless variability. Learn key strategies and tools for maintaining quality standards in changing conditions for streamlining production processes.

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What is the difference between digital twins and digital threads?

Braincube’s Digital Twins and Digital Threads simulate production processes with precision, optimize production, personalize products, enhance quality, and satisfaction. Unlock the power of Industry 4.0 with Braincube’s state-of-the-art technology.

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What’s better than time series data for manufacturing process engineers?

Manufacturing engineers have successfully used time series data to solve production challenges for years. But in today’s complex data landscape, is time series data sufficient on its own?

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Must-know strategies for today’s manufacturing landscape

The manufacturing technology landscape is ever-changing, with new products and vendors entering the market every year. In such a saturated market, here are three technology “lessons learned” from some of the world’s leading manufacturers.

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Using AI for a successful prescriptive maintenance strategy

AI and prescriptive technologies can help digitally mature manufacturers advance their maintenance strategy to eliminate guesswork and make well-informed decisions.

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Meat manufacturing: tools to optimize production

Optimizing production processes is essential for meat processing companies to increase efficiency and reduce costs. Whether it is crafting targeted solutions to specific operational issues or helping to improve the processes of the entire production process, Braincube understands the unique challenges of meat processing.

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5 things you should know about the Autonomous Factory

AI-powered automated operations have revolutionized various industries. However, to truly reap the benefits for both people and the environment, it is crucial to put these changes into practice. These practical implementations can unlock the full potential of autonomous manufacturing.

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Three foundational stepping stones for predictive maintenance

Read these three “stepping stone” stages working up to a predictive maintenance strategy to learn what each stage entails and how you can advance toward a true predictive maintenance strategy.

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Profitable quality control use cases for food manufacturing

Remaining competitive in one of the largest industries in the world is especially critical when there is rising demand, tight margins, and pressure to produce sustainably. While there are many strategies to improve quality, this article will present some “less than obvious” opportunities that food manufacturers can use for quality control.

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A guide to operational efficiency for meat processing

Adapt current conditions to more efficiently control and optimize meat processing production in real time. Learn how to improve operational efficiency.

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5 things you should know about the Autonomous Factory

Type: Articles

Achieving production consistency: tools and tactics for engineers

What is the difference between digital twins and digital threads?

What’s better than time series data for manufacturing process engineers?

Must-know strategies for today’s manufacturing landscape

Using AI for a successful prescriptive maintenance strategy

Meat manufacturing: tools to optimize production

5 things you should know about the Autonomous Factory

Three foundational stepping stones for predictive maintenance

Profitable quality control use cases for food manufacturing

A guide to operational efficiency for meat processing

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