MITSUBISHI ELECTRIC Changes for the Better
Germany

Customization and Product Variation

As society becomes more health conscious, what we consume starts to be influenced by food "fashions", but equally what we buy can also be influenced by general, public trends, for example the movement towards "green packaging" and reducing one-time plastic use. These present multiple challenges to the modern food and beverage manufacturer from issues around production at scale, to how to handle new materials and processes which were never foreseen.

Challenges you may face

Modular and Scalable Automation

The adoption of modular automation solutions that can be easily scaled or reconfigured to accommodate changes in production requirements is essential. However, the execution needs to be manageable, therefore it is often preferrable to have a gradual implementation of automation to manage costs and minimize disruptions.

Adaptive Automation Systems

In recent times the development of flexible and adaptive automation systems capable of handling variations in products and processes is becoming easier to realize. By implementing advanced sensors and utilizing artificial intelligence, we can enable real-time adjustments in an instant.

Advanced Maintenance Practices

The implementation of robust maintenance protocols and regular cleaning and inspection of food and beverage machinery protects the quality and hygiene around the production process. However, equally important are the benefits of looking after the "health" of the machinery to maintain maximum uptime of the production facility. Therefore, getting the balance right for machinery maintenance whether predictive, preemptive or cyclical is essential.

Dive deeper with our white papers

Visual guide to data science

With the growing complexity of manufacturing, more complex solutions have to be implemented. Proper data science strategy can help manufacturing companies achieve a competitive advantage in ways that were not possible even couple of years ago.
We  understand that data science can be quite overwhelming to start with, but we believe this simple guide will help you in making first choices and considering initial technologies.

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