Think of how hard it is trying to learn a new language using only vocabulary. You could have an entire dictionary at your disposal, but if you can’t make a sentence the words are all but useless. The same can be said about your manufacturing intelligence. Without the use of a centralized database to organize and interpret data as it streams in from different sources, you will be stuck trying to understand of all of the information.
In a milk plant, for instance, think of all of the regulatory devices used to monitor the various stages of production. One sensor might test the milk to make sure that it is not spoiled. Another will check for temperature at various intervals. There are even sensors that check the thickness of the plastic or glass bottles to make sure that it is sturdy enough to hold several volumes of liquid.
All of these sensors ultimately make up an enterprise quality management system. All are equally important as they play an integral role in the overall quality of a product. There is little point in producing fresh milk, for instance, if the bottles you produce leak or break. With so many crucial metrics pouring in that require attention, it is easy to mistake the level of importance or bypass a statistic altogether.
A centralized manufacturing quality control hub such as InfinityQS ProFicient will monitor the values as they stream in, organize them and make the intelligence meaningful for prioritizing and decision making. Users will have access to the instant feedback of first life data and the analytic advantage of second life data. Over time, it will become apparent just how much progress has been made. This will help manufacturers know where to look to reduce waste and increase overall efficiency on plant floors.