Simulation Modelling

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A01=Andrew Greasley
Abs
advanced discrete event simulation techniques
Arrival Rate
Author_Andrew Greasley
Bank Clerk
business analytics methods
Business Process
Category=KJT
Category=UYM
Category=UYQM
Confidence Interval
Confidence Interval Analysis
Confidence Interval Graphs
Customer Arrivals
Data Set
DES Model
Descriptive Model
Digital Twin
Empirical Distributions
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
Hybrid Simulation
Interarrival Time
Loan Application
Manual Pumps
Navigation Window
Non-stationary Arrivals
Non-stationary Poisson Processes
operations research
Petrol Station
process optimisation
Properties Window
quantitative decision analysis
Queuing Time
stochastic modelling
supply chain simulation
Triangular Distribution
Vim

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
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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.

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