Systems Analysis Using Simulation and Markov Models

Focusing on simulation and Markov models, this applications-oriented manual shows readers how to use OR (Operations Research) tools to perform system design and analysis, and encourages readers to begin experimenting with simple models and work up to more complex models and gain an appreciation of state-of-the-art system design and analysis concepts. Assuming an engineering or computer science background the book opens by discussing the basic ideas and concepts of operational evaluation modelling, and then goes on to define the concept of a parallel process using a directed graph notation that helps readers visualise, understand, optimize and communicate system operation and effectiveness. It also provides three example applications of discrete event simulation, presents reliability theory expressed in parallel process concepts, discusses the Pascal simulation programming system for discrete event simulation, and analyzes cybernetic system modelling.