… These problems can be handled better by simulation modelling than any other available
methods. Simulation is a kind of modelling, but refers to a group of methods that imitate the …

… The objective of this paper was to focus on simulation modelling techniques in PPC rather
… After filtering the final papers in the literature, total of 131 published in 101 journals and 30 …

… This paper includes a mesoscopic simulation modelling methodology developed for … is
a simulation rail network model implemented using an event-based simulation computer …

… ED simulation modelling could be done in isolation or in the … On the one hand simulation
modelling might investigate … Patient behaviours is aimed at simulation models that represent the …

… Modelling temporal dynamics within and between processes presents a considerable challenge.
Ideally, simulation models … behavioural agents of various sub‐models (eg firms, persons…

… or communication between elements of different simulation models. When these simulation
models are from different paradigms, then we have an interfaced hybrid simulation design. …

This paper presents a generic model of the energy aware, secure sensing and computing
system composed of clusters comprised of static and mobile wireless sensors. The …

… As a result, when surveying what has been included in the present volume in an attempt to
uncover the basic unity of these subjects, the authors have the same unsatisfactory feeling of …

… First, to provide a guide to how simulation models and which types of simulation models
can be used to support different decisions that arise during a public health emergency such as …

… discrete event simulation models are the … simulators: (i) network simulators aim to simulate
the network connections and data transfers between the nodes. They are useful for modelling …