COMBINING SYSTEM DYNAMICS AND DISCRETE EVENT SIMULATIONS - OVERVIEW OF HYBRID SIMULATION MODELS <s> DISCRETE EVENT SIMULATION <s> This book provides a basic treatment of one of the most widely used operations research tools: discrete-event simulation. Prerequisites are calculus, probability theory, and elementary statistics. Contents, abridged: Introduction to discrete-event system simulation. Mathematical and statistical models. Random numbers. Analysis of simulation data. Index. <s> BIB001 </s> COMBINING SYSTEM DYNAMICS AND DISCRETE EVENT SIMULATIONS - OVERVIEW OF HYBRID SIMULATION MODELS <s> DISCRETE EVENT SIMULATION <s> From the Publisher: ::: This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research. <s> BIB002
DES is a more widely established simulation technique BIB001 . "The system is modelled as a series of events, that is, instants in time when a state-change occurs", (Robinson 2004 ). The models are stochastic and generally represent a queuing system. From the beginning until now, the models are based on a specific code that manages the simulation. At the beginning, DES was developed and used in the manufacturing sector. But, as the times have changed, so have the areas where DES has found its applicability (hospitals, public offices, document management etc.) Still, the main advantages and principles have never changed no matter if the simulated entities are products, people, documents etc. BIB002 Banks 1998) .