Solutions
Food & Beverage
Customization and Product Variability
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
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Challenge 1Modular 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. -
Challenge 2Adaptive 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. -
Challenge 3Advanced 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.
Catalog/White paper Download
Visual guide to data science in manufacturing
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 at Mitsubishi Electric 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.
Innovative Predictive Maintenance Capabilities for Packaging Operations
Mitsubishi Electric Automation, Inc. has released the latest in a series of white papers to support packaging industry professionals. The paper titled, Innovative Predictive Maintenance Capabilities for Packaging Operations, provides insights on data analysis and machine learning technologies that provide in-time communication to operators and managers regarding the quality of production and the availability and effectiveness of machines. The purpose of the paper is to provide readers with innovative solutions for lowering total cost of ownership and reduce unplanned maintenance of packaging machines.
Videos
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Food and Beverage industry: Can cocoa be smart? | Mitsubishi Electric Podcast
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"Confectionery IoT Predictive Maintenance Case Study" : Latest IoT Trends for Everybody
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"IoT and Energy Saving" : Latest Industry IoT trends for everybody
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AI: Where is it? | Mitsubishi Electric Podcast