When it comes to manufacturing food on a large scale, there is no room for variation. Production consistency is the most overarching factor for consumer happiness and safety. So when things start going wrong during manufacturing, it is no time to be questioning decisions related to recipes.
In this regard, food producers need to act more like scientists than chefs—no matter what is being created. If a piece of candy is too sweet, or if a potato chip is too salty, then production must be ceased immediately. Meanwhile, statistical evidence must be gathered quickly so that ingredient levels can be properly adjusted. All of this has to take place in a very short amount of time.
Statistical process control is bringing automation to the plant level floor, and in the process is better at shaping the way that food is created and controlled. Since variation is the opposite of an efficient manufacturing process, statistical process control works to ensure that every product that is created conforms exactly to the specifications required for standard quality.
These measurements are entered into a computer, which then scans products to detect variation and remove it from a production line. A manufacturing executive can therefore manage an entire production floor based solely on the numbers that stream into a tablet or smartphone. Most importantly, when a major manufacturing decision has to be made, an executive will be able to trust in the integrity of the data and act accordingly.
Being able to access this intelligence from smartphones, mobile devices and laptops gives users a single quality control hub that will not only provide valuable intelligence, but will present it in an organized fashion that can be interpreted and acted upon when needed.
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