Simulation Modelling
Shipping & Delivery
Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock
14-28 Working Days: On Backorder
Will Deliver When Available: On Pre-Order or Reprinting
We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!
Product details
- ISBN 9780367643515
- Weight: 760g
- Dimensions: 174 x 246mm
- Publication Date: 21 Sep 2022
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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.
Andrew Greasley is Lecturer in Supply Chain Analytics and Modelling in the School of Infrastructure and Sustainable Engineering at Aston University, Birmingham, UK.
