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2015
A discrete-event simulation (DES) is characterized by discrete changes in the sim-ulation’s state as the simulation evolves over time. Examples of systems that might be evaluated using DES include: queueing systems, such as a bank service counter, where customers arrive occasionally and may wait in lines for service; manufacturing systems, where parts ...
David Goldsman, Paul Goldsman
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A discrete-event simulation (DES) is characterized by discrete changes in the sim-ulation’s state as the simulation evolves over time. Examples of systems that might be evaluated using DES include: queueing systems, such as a bank service counter, where customers arrive occasionally and may wait in lines for service; manufacturing systems, where parts ...
David Goldsman, Paul Goldsman
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Resonance, 2013
Computers can be used to simulate the operation of complex systems and thereby study their performance. This article introduces you to the technique of discrete event simulation through a simple example.
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Computers can be used to simulate the operation of complex systems and thereby study their performance. This article introduces you to the technique of discrete event simulation through a simple example.
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2001
This chapter presents an overview of the techniques used in discrete-event simulation; emphasis is placed on the object-oriented aspects. The process-interaction worldview for modeling is the selected discrete-event simulation approach.
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This chapter presents an overview of the techniques used in discrete-event simulation; emphasis is placed on the object-oriented aspects. The process-interaction worldview for modeling is the selected discrete-event simulation approach.
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Videogames decoupled discrete event simulation
Computers & Graphics, 2005Real-time graphic applications and specifically videogames, follow a paradigm of continuous simulation that couples the simulation phase and the rendering phase. This paradigm can be inefficient (inadequate computer power distribution) or it can produce incorrect simulations (disordered events execution or events lost).
Inmaculada García, Ramón Mollá Vayá
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Discrete event simulation using event calculus
Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94, 2002This paper presents the theory and implementation of a logic based discrete event simulation system. The representation language of the simulation is Horn clause logic. The simulation's theory of time is based on event calculus. The scheduling algorithm generates event notices for all activities that can be performed.
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1987
It appears to be the rule rather than the exception that usefully detailed stochastic models are sufficiently complex so that it is extremely difficult or impossible to obtain an exact analytic solution. Simulation is essentially a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic techniques do
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It appears to be the rule rather than the exception that usefully detailed stochastic models are sufficiently complex so that it is extremely difficult or impossible to obtain an exact analytic solution. Simulation is essentially a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic techniques do
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Qualitative Discrete Event Simulation
Proceedings of the Winter Simulation Conference, 2005., 2006Yen-Ping Leow-Sehwail, Ricki G. Ingalls
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A Component Model for Discrete Event Simulation
2002The paper describes the ideas behind a technique for hierarchical linking of simulations as a way of building large-scale simulations from components that interact with each other via communication ports. The resulting component simulation view is compared with the presently used simulation world views.
Boleslaw K. Szymanski, Gilbert Chen
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In defense of discrete-event simulation
ACM Transactions on Modeling and Computer Simulation, 1993openaire +1 more source