Linking all of the data to virtual data starts to optimize the production process from low to high and collected the data in real time from the IoT sensor, it has observe the anomaly detector (pattern
recognition software algorithm).
Real-time information and algorithms are used to analyze and forecast the operation of the production facility process to maximize quality in the production process and to analyze the data of all
production processes to perform the best operating way for individual process steps.
It's necessary the switch of the paradigm from reactive thinking to proactive thinking, and can be improved the understanding of the work by iterative learning about the work that has already occurred.