… evolutional stochastic systems in a random medium are described by the random evolutions
as the operator-valued random processes. The storage process and the stochastic additive …

… , a range of different types of stochastic processes is used. The operating costs are classified
by cost drivers and an appropriate stochastic process is determined for each of the derived …

… Key elements of stochastic process models for business operations have been presented
in this chapter. The main target is to define the content of stochastic process modelling in a …

… In this paper, a group process view and a stochastic queuing model were adopted to study …
between operation and innovation. Our research reveals that time division between operation …

… warehouse systems by stochastic methods in uncertain business settings, identifies … batch
size when orders arrive according to a stochastic process. A following research question is: …

… process management, which seeks to enable the optimization of business process operations
… which approximates the complex multidimensional stochastic process through a set of sim…

… the process in mining operation and the output (fuel ratio). In this step we will analyze which
processes in mining operation are … in Deterministic and Stochastic Monte Carlo simulations. …

… elementary stochastics process theory and advanced process … for optimizing the operations
of stochastic systems. In … in stochastic processes for undergraduate students in business or …

… (t) is a stochastic process and the values of X(t) and X(t'), for t<t', have some relationship or
dependency. The nature of such dependencies induces different stochastic processes, and in …

… data mining, process trace data analysis, stochastic simulation and … operations involved
in the wafer processing are numerous, and to provide context, we list a few of these operations …