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A discrete-event simulation (DES) models the operation of a system as a sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. [ 1 ] Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the ...
As continuous simulation cannot be modeled by digital computers, it is done by taking small discrete steps. This is a useful feature, since there are many cases where both, continuous and discrete simulation, have to be combined. This is called hybrid simulation, [8] which is needed in many industries, for example, the food industry. [3]
ExtendSim is a simulation program for modeling discrete event, continuous, agent-based, discrete rate, and mixed-mode processes.There are three main ExtendSim simulation model building packages: CP for modeling continuous processes; DE which adds discrete event technology; and Pro which adds discrete rate and reliability block diagramming modules.
AnyLogic models can be based on any of the main simulation modeling paradigms: discrete event or process-centric (DE), [74] systems dynamics (SD), [75] and agent-based (AB). [7] System dynamics and discrete events are traditional simulation approaches, agent based is a newer one.
A discrete event simulation software with a drag-and-drop interface for modeling simulations in 3D. January 21, 2022 [6] GoldSim: GoldSim Technology Group LLC Combines system dynamics with aspects of discrete event simulation, embedded in a Monte Carlo framework. September 21, 2015 [7] GPSS: Various A discrete event simulation language.
SimEvents is a discrete event simulation tool developed by MathWorks. It adds a library of graphical building blocks for modeling queuing systems to the Simulink environment. It also adds an event-based simulation engine to the time-based simulation engine in Simulink [ 2 ]
FlexSim has been used in a variety of simulation projects involving both standard and flexible manufacturing systems. [6] Some examples include studies to determine optimal buffer sizes, [citation needed] optimizing blend components in feed production, [7] rescheduling problems in mixed-line production planning, [8] optimizing electronics assembly lines, [9] and steel production scheduling.
Hybrid simulation (or combined simulation) corresponds to a mix between continuous and discrete event simulation and results in integrating numerically the differential equations between two sequential events to reduce the number of discontinuities. [10] A stand-alone simulation is a simulation running on a single workstation by itself.