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What is Discrete-Event Simulation

Handbook of Research on Computational Simulation and Modeling in Engineering
A method for simulating systems, where the state of the system only changes at discrete points in time, where events happen, such as the completion of an activity.
Published in Chapter:
Simulation Based Construction Project Schedule Optimization: An Overview on the State-of-the-Art
Maximilian Bügler (Technische Universität München, Germany) and André Borrmann (Technische Universität München, Germany)
DOI: 10.4018/978-1-4666-8823-0.ch016
Abstract
Construction projects require a multitude of procedures and resources for the high diversity of building concepts. Most of such projects are unique in their design and need individual schedule planning to be realized. In order to develop the required schedules, several complex decisions need to be made and several different factors need to be taken into account, including cost, make span, safety, resource sparsity, delivery schedules and geometric constraints. The problem of scheduling the involved processes in an optimal way is called the resource constrained project scheduling problem (RCPSP) and several solution algorithms are available. In addition, simulation based techniques can be used to address more complex constraints and objectives. This chapter presents an overview of traditional optimization procedures for the RCPSP and bridge the gap to simulation based techniques, which are described in detail.
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More Results
An Overview of Multi-Agent Simulation in Organizations
A type of simulation where simulation mechanism advances simulation clock to discrete points in time. Time advancement can be round-based (simulation clock is advanced for a constant number of time units for each round of the simulation) or step-based (simulation clock is advanced to the time stamp of the next event in the event queue).
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On the Use of Discrete-Event Simulation in Computer Networks Analysis and Design
In discrete-event simulation the operation of a system is represented as a chronological sequence of events. Each event occurs at an instant in time and marks a change of state in the system.
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The Use of Discrete-Event Simulation for Business Education: Learning by Observing, Simulating and Improving
Modeling of a system as it evolves over time by a representation in which the state variables change instantaneously at separate points in time.
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Simulation for Supporting Business Engineering of Service Networks
Models a system by changing the systems state at discrete points in time.
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Multi-Agent Simulation in Organizations: An Overview
A type of simulation where the simulation mechanism advances the simulation clock to discrete points in time. Time advancement can be round-based (simulation clock is advanced for a constant number of time units for each round of the simulation) or step-based (simulation clock is advanced to the time stamp of the next event in the event queue).
Full Text Chapter Download: US $37.50 Add to Cart
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