Improving food manufacturing in North America with Digital Twins

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The food manufacturing industry is one of the largest sectors in North America. In 2020 alone, food retailing manufacturers supplied $1.69 trillion worth of food to US consumers. This is a major task for the ~36,500 food and beverage processing facilities in the US, which were owned by ~31,400 companies (according to the most recent Economic Census in 2017).

Still, the industry is changing. As the labor shortage continues, regulations change, and consumers demand new products, US food manufacturers need more advanced tools and strategies to remain competitive.

Digital Twins are at the forefront of many digital transformation initiatives, but are they just a buzzword? Or is there real value in the benefits Digital Twins offer?

As food manufacturers continue pressing forward amid tumultuous times, there’s never been a more pressing time for food manufacturers to bring in Digital Twins and Industry 4.0 technology. In this white paper, we’ll explain more about what Digital Twins are and how they can help North American food manufacturers solve their biggest challenges.

In this white paper, you’ll:
  • learn the key differences between different types of manufacturing Digital Twins
  • discover digital solutions for the challenges specific to food manufacturing in North America
  • understand how Digital Twins can help food manufacturers improve their four biggest goals, including:
    • Quality
    • Adapting to consumer demands
    • Product consistency
    • Safety and regulations

Complete the form to download the white paper now.

Fill out this form to download the white paper.

Top IIoT Platform Trends for 2022

Learn how the latest trends in the IIoT Platform space are changing today’s manufacturing climate. You’ll also discover what to expect going forward, and how these trends are pushing Industry 4.0 forward.

Here’s what we’re seeing in the IIoT space for 2022.

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Your guide to Digital Twins in manufacturing

Digital Twins are used in manufacturing to uncover root causes, identify and prevent defects, optimize processes, evolve predictive maintenance strategies, and more. 

This resource guide brings together multiple educational sources about Digital Twins for manufacturing. 

Case Study: Industry 4.0 tools improve food quality

One of Braincube’s Food and Beverage customers wanted to use Industry 4.0 technologies to tackle their quality and consistency challenges. By minimizing scrap, they would improve their bottom line and sustainability efforts.

See how they did it in this case study.