Simulation modelling : concepts, tools and practical business applications
- London : Routledge, 2023
- 386 p. ; ill., (b & w) , 25 cm
Includes bibliographical references and index.
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 & validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject as well as 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. Supplementary Instructor Materials include chapter-by-chapter PowerPoint slides, tutorials for the Arena, Simio and Simul8 simulation systems and a test bank.
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Business Triangular distribution Simulation model Process flow diagram Scenario analysis Bank clerk simulation Causal loop diagram Confidence interval Exponential distribution Interval analysis Paired t-test Simulation modelling Decision making