Discrete Event Modeling And Simulation

Master the essentials of system simulation, probability, Python, and Rockwell Arena to solve real-world challenges.

Master the essentials of system simulation, probability, Python, and Rockwell Arena to solve real-world challenges.

A unique guide to the design and implementation of simulation software
This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development.

A unique guide to the design and implementation of simulation software
This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place.

Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modelling concepts for abstracting the essential features of a system, using specially designed software for converting these relationships into computer executable code capable of generating the requisite sample-path data; outlining procedures for converting these data into estimates of systems performances; and then illustrating methods for assessing how well these estimates approximate true, but unknown system behavior.