In this paper a mathematical simulation of a simplified internal combustion engine is presented. To contribute engine kinematics and its geometry, simple relations are derived for constrained motions. The equation of motion for the piston forms a singular boundary value problem. The uniqueness of the solution was studied in the Banach space. For solving governing equations an iterative numerica...

 Simulation and optimization are two arguably most used operations research (OR) tools. Optimization intends to choose the best element from some set of available alternatives. Stochastic simulation is a powerful modeling and software tool for analyzing modern complex systems. This capability complements the inherent limitation of traditional optimization, so the combining use of simulation an...

The paper deals with the optimization of the operation of so-called systems of systems, i.e. large systems where the subsystems possess some autonomy but the system as a whole has to be operated optimally. Specifically, the focus is on systems of systems that are physically coupled, e.g. electric grids or production plants that are coupled by flows of matter and energy. Besides the development ...

a simulation-based optimization approach for the purpose of finding a near-optimal answer can be efficient and effective. In the present paper, first, the mathematical model for the project activity scheduling problem has been presented with a job shop approach. Then, using the Arena 14 software, the simulation model has been designed. Consequently, a numerical example has been solved via runni...

In the context of the project „Effizienter Flughafen 2030“ separate, autarkic models simulating the different processes at an airport have been coupled to build an integrative over-all model. For scenario analysis and to identify the relevant model parameters for the over-all behavior it was postulated to fit input parameter values automatically with regard to a certain optimal behavior of the ...

Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...

since the analysis of complex services systems by using mathematical modeling techniques, with considering the random patterns prevailing in them, is so difficult or probably impossible, improvement guidelines are often followed based on the experts' experiences using qualitative methods. in the present paper, by employing a discrete event computer simulation methodology, criminal trial sy...