Articles by Grant Gerke

Data collection has become a major part of food manufacturing, but without data standardization, measuring overall equipment effectiveness (OEE) poses a challenge.

Food manufacturers are increasingly turning to cobots and robots to alleviate labor shortages, increase efficiency and manage tight operational footprints.

Food and beverage manufacturers are discovering that machine learning is a vital ingredient in moving to predictive maintenance strategies. Larger food companies have the jump on digital transformations, but smaller companies are starting small and increasing spending to start the journey. 

FOOD ENGINEERING discusses machine learning, neural networks, Industry 4.0, data governance and other AI concepts in food manufacturing with Markus Guerster, founder and CEO of MontBlancAI.

The food manufacturing sector is rapidly embracing automation and data-driven tools, with companies like Tyson Foods and Goodman Fielder leading the charge. From reducing labor costs to streamlining operations with advanced SCADA and MES platforms, the industry is leveraging cutting-edge technology to address workforce challenges, boost efficiency, and drive sustainable growth.

Food manufacturers now include sustainability-related emission programs but are still identifying ways to displace plastic from packaging.

New remote service tools and robust asset management platforms enable food and beverage companies to envision AI-based strategies and facilitate product innovation across the enterprise.

At the IFT FIRST Conference, Mimi Bonnett of Innova Market Insights spotlighted the top food trends in the U.S. and Canada, while Michael Warter of Ruiz Foods delivered insights on machine learning and AI.

Food and beverage manufacturers are focusing on reducing energy and materials by leveraging automation, capturing more data, sourcing modern processing equipment, and concentrating on quick “digital wins.”

Regional craft breweries and independents are investing in automation and plant upgrades to increase production, improve maintenance and move toward bigger volumes.