You're tackling food waste in manufacturing. How do you equip your team with new technologies?
To tackle food waste in manufacturing, you need to equip your team with effective technologies. Here's how you can make it happen:
How have you tackled food waste in your operations?
You're tackling food waste in manufacturing. How do you equip your team with new technologies?
To tackle food waste in manufacturing, you need to equip your team with effective technologies. Here's how you can make it happen:
How have you tackled food waste in your operations?
-
Partner with side industries that would turn your waste into a valuable resource. For instance, parts of a plant not used for food applications can be turned into feedstock for fermentation. A prime industry example is the collaboration between Enough Foods and Cargill, where Enough Foods uses Cargill food waste as feedstock to produce their mycoprotein. Be also mindful of regulatory limitations that apply to handling and repurposing food waste.
-
Food wastes like peels etc can be upcycled and turned into products like crackers, chips etc. Seeds can be used a source of beverage or to extract oil. Similarly, waste valorization streams should be created to turn wastes to useful products- like flavour and taste modulators, whey based fermented beverages etc. Technologies to recover valuable materials from waste streams and put them back into mainstream products should be introduced like fractionation, filtration etc.
-
Equip your team with predictive analytics tools that leverage data to forecast demand accurately and minimize overproduction. By analyzing historical sales patterns, seasonality, and market trends, we can anticipate shifts in consumer behavior and adjust production levels accordingly. Training the team on data-driven decision-making ensures everyone understands how to interpret insights and apply them in real-time, leading to smarter inventory management and reduced waste throughout the supply chain.
-
Here are some effective technologies and practices to implement: Data Analytics and Artificial Intelligence (AI), Demand Forecasting: Using AI to adjust production based on demand patterns can help prevent waste. Real-Time Monitoring, Automated Quality Control, Computer Vision: Cameras and computer vision systems can inspect products and detect imperfections or deviations. Contamination Detection: Advanced spectrometry systems and sensors can check for the presence of contaminants in ingredients, preventing compromised batches. Automation and Robotics, Ingredient and Inventory Management, Ingredient Recovery and Reuse (Reuse Technologies and By-Products, and Fermentation and Enzyme Systems).
Rate this article
More relevant reading
-
Transportation PlanningWhat are the most effective ways to use technology for transportation visibility and tracking?
-
Automotive EngineeringHow can you improve the signal-to-noise ratio of automotive sensors?
-
ManufacturingWhat are the most effective ways to use sensors in conveyor systems?
-
Automotive EngineeringHow do you select the most suitable automotive sensors for different applications and environments?