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.
INTRODUCTION,
2. OVERVIEW OF THE STEPS IN A SIMULATION MODELLING STUDY,
3. CONCEPTUAL MODELLING (ABSTRACTION),
4. CONCEPTUAL MODELLING (EXPLANATORY
MODEL),
5. CONCEPTUAL MODELLING (DESCRIPTIVE MODEL), 5a. DERIVING THEORETICAL
AND EMPIRICAL DISTRIBUTIONS USING ARENA, 5b. DERIVING THEORETICAL AND
EMPIRICAL DISTRIBUTIONS USING SIMIO, 5c. DERIVING THEORETICAL AND EMPIRICAL
DISTRIBUTIONS USING SIMUL8,
6. DATA COLLECTION,
7. BUILDING THE SIMULATION
MODEL, 7a. BUILDING THE SIMULATION IN ARENA, 7b. BUILDING THE SIMULATION IN
SIMIO, 7c. BUILDING THE SIMULATION IN SIMUL8,
8. VERIFICATION AND VALIDATION,
8a. VERIFICATION AND VALIDATION WITH ARENA, 8b. VERIFICATION AND VALIDATION
WITH SIMIO, 8c. VERIFICATION AND VALIDATION WITH SIMUL8,
9. EXPERIMENTATION:
SIMULATION OUTPUT ANALYSIS, 9a. ARENA OUTPUT ANALYSIS, 9b. SIMIO OUTPUT
ANALYSIS, 9c. SIMUL8 OUTPUT ANALYSIS,
10. EXPERIMENTATION: SIMULATION
SCENARIO ANALYSIS, 10a. ARENA SCENARIO ANALYSIS, 10b. SIMIO SCENARIO
ANALYSIS, 10c. SIMUL8 SCENARIO ANALYSIS,
11. IMPLEMENTING AND INTRODUCING
SIMULATION,
12. HYBRID SIMULATION (COMBINING DES, ABS and SD),
13. HYBRID
MODELLING (COMBINING MODEL-DRIVEN AND DATA-DRIVEN ANALYSIS),
14. INDEX
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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