Abstract During the last two decades Process Mining has seen a rapid global adoption: first in academics and then corporate business. It evolved into foundational technology, allowing users to discover actual process flows with unprecedented transparency, speed, detail. In business environment no purpose of its own, but companies leverage it identify inefficiencies, improve execution ultimately...

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introduction : it is clear that if the discharge process takes less time and the patient leaves the hospital bed earlier, the length of hospitalization, and consequently, the waiting time for admission decreases. therefore, the method of use of treatment facilities is somewhat improved. the hospital discharge process, from when the discharge authorization is issued until the patient leaves the ...

in today's business environment in which coordination and adaptation with constant changes are the only ways of survival, real-time monitoring of activities and making the decisions accordingly are necessary. since performance measurement cannot be managed independent of business processes, business activity monitoring (bam) systems should monitor performance metrics based on business processes...

in statistical quality control a very widely used measure is average run length (arl) which may be worked out by different methods like integral equation, approximations, and monte carlo simulations. the arl measure and the other related measures are of major significance in every type of production process. an omission in its computation (and hence its related measures such as extra quadratic ...

Process automation and process mining are (interconnected) key technologies with respect to digital transformation. Hence, expectations high, in particular, challenging application domains such as manufacturing that combine systems, machines, sensors, users. Moreover, processes operate at a high level of collaboration, e.g. inter-factory or cross-organizational settings. This paper investigates...