Modernizing Food and Beverage Manufacturing

First published June 19, 2023, on engineering.com; submitted by RS.

منبع: https://www.qualitydigest.com/inside/innovation-article/modernizing-food-and-beverage-manufacturing-081423.html

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To modernize robotic and machine controls in less complex food and beverage automation applications, manufacturers can upgrade their current PLCs with supplementary solutions such as expansion modules and smart relays, which provide economical, user-friendly alternatives to solutions based on cabled logic or specific cards.

Leverage IIoT technologies

Such manufacturers will have competing priorities, ranging from product diversification to product quality and ingredient traceability, as well as output efficiency and conformance to an evolving environmental, social, and governance (ESG) regulatory landscape. It’s a lot to manage for companies of any size.

Published: Monday, August 14, 2023 – 12:03


Schneider Electric’s PacDrive 3 automation solution has a centralized system architecture that’s ideal for controlling a broad range of servo-driven production and packaging machines, as well as material-handling equipment and robotics.

This means packaging processes offer the greatest potential for automation-related cost savings and profitability. But meeting modern demands requires faster processing capabilities, several varieties of robots and sequenced motion axes, and more advanced control capabilities than traditional PLCs can provide.

Manufacturers interested in upgrading their processes have a couple of options. They can replace their PLCs with an entirely new generation of high-performance robotic and machine controllers with PLC sequence capability, or upgrade their current systems with solutions including expansion modules and smart relays. Replacing traditional PLCs with high-performance, multifunctional controllers supports more complex applications at higher speeds while saving factory space. These solutions require more of an upfront investment than upgrading existing PLCs with supplementary devices, but they also deliver greater production and profitability improvements. So, manufacturers should carefully evaluate their application demands, goals, and budgets to determine which solution will work best for them.

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Data acquisition and analysis is a must for modern food and beverage manufacturing systems. The best way for manufacturers to satisfy this growing need is to leverage affordable industrial internet of things (IIoT) technologies capable of collecting data from legacy systems and feeding them into a seamless digital ecosystem centered around improving efficiencies, machine reliability and, most importantly, operator and equipment safety.

Luckily, with so many advanced products and proven strategies that manufacturers can adopt, they have the opportunity to dive headfirst into a digital transformation that will drastically increase efficiencies, improve product quality, and in the long term reduce costs and maximize profit margins—all without losing sight of the priorities they must maintain to succeed.

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IIoT integration can take many forms, and manufacturers have several options to choose from based on their specific needs. For example, variable-speed drives—such as Schneider Electric’s Altivar Series—now feature embedded intelligence to monitor external conditions, which can help predict failures before major disruptions occur. These predictive maintenance capabilities alone can save manufacturers thousands of dollars in machine repair, replacement costs, and downtime. Many drives generate QR codes to help guide operators to the correct support documentation when an error is detected.

For some manufacturers still reliant on traditional processes, full IIoT integration might not be the right choice. In these cases, they should concentrate on digitizing as many processes as possible and moving away from paper documentation. One simple step is adopting digital recording devices, which allow operators to record individual batches via a start-and-stop button on a screen or through an external output.