Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

We have presented a review of the challenges facing business PM. These challenges are
categorized into three challenges:(1) between business and IT, difficulty of deriving IT goals …

Fuzzy Petri net (FPN) provides an extremely competent basis for the implementation of
computing reasoning processes and the modeling of systems with uncertainty. This paper …

Through the medical information integration system, the limited resources in the hospital can
be reasonably utilized. Meanwhile, optimizing the resource management and allocation …

The high reliability of modern engineering systems is achieved by performing predictive
maintenance. Mathematical models based on stochastic timed colored Petri nets are an …

So far, approaches for business process modeling, enactment and monitoring have mainly
been based on process specifications consisting of a single process model. This setting …

Modelica is a general-purpose modeling language mainly designed to facilitate the
development, reusability and exchange of models. It represents the state-of-the-art in …

Complexity is often regarded as a “problem” to solve. Instead of attempting to solve
complexity, we follow systems engineering practices and switch back to the problem …

The wide use of Internet of Things (IoT) technologies in manufacturing shop-floor creates an
opportunity to turn the traditional manufacturing factories into smart ones. The synchronous …