Big data is revolutionizing industries from healthcare to finance, and food manufacturing is no exception. In fact, the food and beverage industry might be one to gain the most, thanks to the arrival of material flow analytics, an advancement that creates a new level of supply chain visibility. A recent survey found that 82% of manufacturers currently experience low to moderate supply chain visibility, so it’s only logical that we can expect significant technology improvements in the coming years
While the use of material flow analytics is accelerating for world-renowned brands, its’ journey is just beginning for many food manufacturers. Read on to learn about Material Flow Analytics—and how it can impact the food and beverage manufacturing industry.
Material flow refers to the journey that raw materials take to reach their final status as a consumer product. In the case of the food manufacturing industry, material flow refers to the journey that raw foods, like potatoes, take to reach their final status as packaged foods. For example, the process of a potato being made into a French fry would look something like this:
To simplify it, Material Flow Analytics refers to the review and analysis of the data collected during each process of the potato manufacturing lifecycle. The above image is a visual example of this process in action.
With today’s Internet of Things (IoT) and big data technology, tracking material flow is now a realistic possibility. With ThinkIQ, manufacturers can leverage their existing assets so there is no need to make expensive upgrades to hardware or software. Similarly, there is no need to “rip and replace” other components of the manufacturing process. ThinkIQ uses current investments in hardware and software, so manufacturers can just install physical sensors (if needed) to automate manual processes throughout their factories and locations. These sensors do not affect the flow of product, they collect data that defines material movements, quality attributes, material locations, and other critical information. With these data points, the material flow analytics platform will identify granular correlations, letting your business know where it helps solve key opportunities like over/under consumption, food safety events, reduction of waste, production within client specifications and yield improvement.
Material flow and traceability are similar but vastly different? Traceability refers to the smart tracking of items that have a unique identifier (i.e. serialized parts, RFID tags, barcodes) Computers, for example, often have distinctly marked central processing units (CPUs). They can be tracked easily, no matter whether they’re in the manufacturing plant or on their way to a repair shop. Material flow deals with products that are not traceable easily traceable—like raw food items. For example, you can’t attach an RFID tag to a potato; it would be an unpleasant, crunchy surprise for consumers. Instead, food manufacturers can use existing sensors to track their food products throughout production
For food manufacturers, maximizing yield is the best way to increase profits. Historically, food manufacturers have focused on analyzing equipment efficiency, today they can use advanced material flow analytics to track and improve the journey of their raw materials.