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Discrete and Continuous Simulation - Theory and Practice (Paperback)
Loot Price: R2,271
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Discrete and Continuous Simulation - Theory and Practice (Paperback)
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When it comes to discovering glitches inherent in complex
systems-be it a railway or banking, chemical production, medical,
manufacturing, or inventory control system-developing a simulation
of a system can identify problems with less time, effort, and
disruption than it would take to employ the original. Advantageous
to both academic and industrial practitioners, Discrete and
Continuous Simulation: Theory and Practice offers a detailed view
of simulation that is useful in several fields of study. This text
concentrates on the simulation of complex systems, covering the
basics in detail and exploring the diverse aspects, including
continuous event simulation and optimization with simulation. It
explores the connections between discrete and continuous
simulation, and applies a specific focus to simulation in the
supply chain and manufacturing field. It discusses the Monte Carlo
simulation, which is the basic and traditional form of simulation.
It addresses future trends and technologies for simulation, with
particular emphasis given to .NET technologies and cloud computing,
and proposes various simulation optimization algorithms from
existing literature. Includes chapters on input modeling and hybrid
simulation Introduces general probability theory Contains a chapter
on Microsoft (R) Excel (TM) and MATLAB (R)/Simulink (R) Discusses
various probability distributions required for simulation Describes
essential random number generators Discrete and Continuous
Simulation: Theory and Practice defines the simulation of complex
systems. This text benefits academic researchers in
industrial/manufacturing/systems engineering, computer sciences,
operations research, and researchers in transportation, operations
management, healthcare systems, and human-machine systems.
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