While simulation has a vast area of application, this textbook focuses
on the use of simulation to analyse business processes. It provides an
up-to-date coverage of all stages of the discrete-event simulation (DES)
process, covering important areas such as conceptual modelling,
modelling input data, verification and validation and simulation output
analysis.
The book is comprehensive yet uncomplicated, covering the theoretical
aspects of the subject and the practical elements of a typical
simulation project, demonstrated by cases, examples and exercises. It
also shows how simulation relates to new developments in machine
learning, big data analytics and conceptual modelling techniques.
Guidance is provided on how to build DES models using the Arena, Simio
and Simul8 simulation software, and tutorials for using the software are
incorporated throughout.
Simulation Modelling offers a uniquely practical and end-to-end
overview of the subject, which makes it perfect required or recommended
reading for advanced undergraduate and postgraduate students studying
business simulation and simulation modelling as part of operations
research, business analytics, supply chain management and computer
science courses.