There are many systems and techniques that address stochastic planning and scheduling
problems, based on distinct and sometimes opposite approaches, especially in terms of how …

The paper proposes a simulation-based evaluation technique for the testing, validation and
benchmarking of rescheduling methods. Dynamic and stochastic scheduling problems with …

In the last decade simulation models and optimization environments have been developed
that are able to address the complexity of real-time railway dispatching. Nevertheless, actual …

Digital enterprise technologies combined with sophisticated optimization algorithms can
significantly contribute to the efficiency of production. The paper introduces a novel …

The current paper tackles the problem of managing the uncertainties during the execution of
predictive schedules in a dynamic environment. The dynamic environment in question is …

For last years, a number of research investigations on task planning and scheduling under
uncertainty have been conducted. This research domain comprises a large number of …

Taking the uncertain and complex environment into consideration, the selection of the most
appropriate control decisions is a very difficult task. The results of the research presented in …

The paper gives a review of the literature related to the stability measures and describes a
new concept with exhaustive simulation results. Predictive production schedules are …

There are many systems and techniques that address stochastic scheduling problems,
based on distinct and sometimes opposite approaches, especially in terms of how …

The execution of construction projects such as a highwayconstruction or the elevation of a
new bridge is a complex, highly equipment-intensive process and are subject to …