By
Tayfur Altiok, Professor Department of Industrial and Systems Engineering, Rutgers University, New Jersey
Benjamin Melamed, Professor, Department of Management Science and Information Systems, Rutgers Business School, Rutgers University, New Jersey
Description
Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event
simulation methodology, and does so in the context of a popular Arena simulation environment.” It treats simulation modeling as an in-vitro
laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their
performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems,
as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis.
All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory
systems, transportation systems, and computer information systems in networked settings.
Audience:
Junior and Senior undergraduate students taking required courses in “Simulation,” and related courses in “Simulation and Modeling,” and
“Modeling and Analysis,” often mandated for majors in Industrial and Mechanical engineering programs, as well as offered for students
in other engineering disciplines, including civil, electrical, and chemical engineering, among others. Graduate students
in business programs taking courses in industrial management, and related areas in quality control, modeling of complex systems.
