Simulation

Guiding you through the key stages of a simulation project, this textbook provides a comprehensive introduction to the discipline. The book shows you how to develop conceptual models, perform simulation experiments, analyse the results and draw insightful conclusions. It takes a non-software specific view and can be used regardless of individual software preferences. Almost all of the techniques described also apply to the use of non-specialist simulation software, such as programming languages and spreadsheets. This edition also details advancements such as hybrid simulation, multiple recursive random number generators and digital twins. A new chapter has also been added on single-use systems, which solidifies the text’s holistic approach to simulation studies. Critical engagement is encouraged through the inclusion of practical case studies and complementary online resources. Each simulation model is accompanied by illustrative examples, comparative discussions and references to promote deeper understanding of each depicted model. Every chapter is bookended by key concept definitions and summaries. Packed full of practical tips that can be immediately employed in any model development cycle - regardless of your knowledge level - Simulation is an ideal textbook for students studying simulation on upper level undergraduate and postgraduate degree courses in Business and Management, Operations Management, Logistics and Supply Chain Management, Computer Science, Engineering, Mathematics and Statistics. The text is also an invaluable resource for practitioners, such as business analysts.

Guiding you through the key stages of a simulation project, this textbook provides a comprehensive introduction to the discipline. The book shows you how to develop conceptual models, perform simulation experiments, analyse the results and draw insightful conclusions. It takes a non-software specific view and can be used regardless of individual software preferences. Almost all of the techniques described also apply to the use of non-specialist simulation software, such as programming languages and spreadsheets. This edition also details advancements such as hybrid simulation, multiple recursive random number generators and digital twins. A new chapter has also been added on single-use systems, which solidifies the text’s holistic approach to simulation studies. Critical engagement is encouraged through the inclusion of practical case studies and complementary online resources. Each simulation model is accompanied by illustrative examples, comparative discussions and references to promote deeper understanding of each depicted model. Every chapter is bookended by key concept definitions and summaries. Packed full of practical tips that can be immediately employed in any model development cycle - regardless of your knowledge level - Simulation is an ideal textbook for students studying simulation on upper level undergraduate and postgraduate degree courses in Business and Management, Operations Management, Logistics and Supply Chain Management, Computer Science, Engineering, Mathematics and Statistics. The text is also an invaluable resource for practitioners, such as business analysts.

The 5th edition of Ross’s Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, Ross’s Simulation, 5th edition presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.

The 5th edition of Ross’s Simulation continues to introduce aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, accurate solutions and make predictions about future outcomes. This latest edition features all-new material on variance reduction, including control variables and their use in estimating the expected return at blackjack and their relation to regression analysis. Additionally, the 5th edition expands on Markov chain monte carlo methods, and offers unique information on the alias method for generating discrete random variables. By explaining how a computer can be used to generate random numbers and how to use these random numbers to generate the behavior of a stochastic model over time, Ross’s Simulation, 5th edition presents the statistics needed to analyze simulated data as well as that needed for validating the simulation model.