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They can see facility performance, capacity utilization, and actual product cost without waiting for reports. Investment decisions are data-driven.
It knows where the losses are. It directs the improvement effort to the point of highest return; it shows the result numerically.
They deal with managing exceptions, not just placing orders. That same person could manage a much wider range of products.
The user sees their daily tasks, priorities, and obstacles on a single screen. Intervention decisions are made based on data, not guesswork.
By observing deviations in prescription and timing, it brings standards closer to reality. It measures the impact of change in advance.
The system knows the product cost before the end of the period. It can explain deviations based on their cause; closing time is shortened.