Understanding Computer Simulation by Roger McHaney

understand-computer-simulatComputer simulation is used to reduce the risk associated with creating new systems or with making changes to existing ones. More than ever, modern organizations want assurance that investments will produce the expected results. For instance, an assembly line may be required to produce a particular number of autos during an eight hour shift. Complex, interacting factors influence operation and so powerful tools are needed to develop an accurate analysis. Over the past few decades, computer simulation software, together with statistical analysis techniques have evolved to give decision makers tools equal to the task. As the world grows more technical and the need for precision becomes more important, the margin for error will continue to shrink. Business, industry, and governments cannot afford to make educated guesses during systems development. For that reason, computer simulation is more important than ever. Simulation uses a model to develop conclusions providing insight on the behavior of real-world elements being studied. Computer simulation uses the same concept but requires the model be created through computer programming. While this field has grown and flourished with availability of powerful software and hardware, its origins in the desire to forecast future behaviors, run quite deep.


In this book the readers will read Introduction to Computer Simulation, Simulation definition, Different types of simulation, Brief history of simulation, Simulation languages, Simulation language features, Simulators and integrated simulation environments, Hardware requirements for simulation, Animation, Applications of simulation, Why use simulation, Simulation as a design tool, Estimation of simulation time, Methodology for manufacturing simulations, Forcing completion of design with simulation, The simulation decision, Make it work Vs. Does it work, Optimizing and developing solutions, Genetic algorithms, Ethics in simulation, Starting a simulation the right way, Intelligence, Managerial phase, Development phase, Human component considerations, Simulation quality and development, Quality assurance phase, Selection of a language or Tool, Model construction, Verification, Developing a simulation – implementation, Experimental design, Production runs, Output analysis, Output reporting, Post processing output, Operations, maintenance and archival phase, Case study: Deporres tours, Intelligence phase, Managerial phase, Developmental phase, Quality phase, Implementation, Operations, maintenance and archival phase, Appendix: GPSS world source code listing (Two bus model) and much more.

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