000			03069nam a22002417a 4500
999			_c5139 _d5139
005			20230316103745.0
008			230316b ||||| |||| 00| 0 eng d
020			_a9780367643539
082			_a658.40352 _bGRE
100			_aGreasley, Andrew _911944
245			_aSimulation modelling: _bconcepts, tools and practical business applications
260			_bRoutledge _aNew York _c2023
300			_avi, 386 p.
365			_aGBP _b32.99
504			_aTable of Contents INTRODUCTION OVERVIEW OF THE STEPS IN A SIMULATION MODELLING STUDY CONCEPTUAL MODELLING (ABSTRACTION) CONCEPTUAL MODELLING (EXPLANATORY MODEL) CONCEPTUAL MODELLING (DESCRIPTIVE MODEL) DERIVING THEORETICAL AND EMPIRICAL DISTRIBUTIONS USING ARENA DERIVING THEORETICAL AND EMPIRICAL DISTRIBUTIONS FOR SIMIO DERIVING THEORETICAL AND EMPIRICAL DISTRIBUTIONS USING SIMUL8 DATA COLLECTION BUILDING THE SIMULATION MODEL BUILDING THE SIMULATION IN ARENA BUILDING THE SIMULATION IN SIMIO BUILDING THE SIMULATION IN SIMUL8 VERIFICATION AND VALIDATION VERIFICATION AND VALIDATION WITH ARENA VERIFICATION AND VALIDATION WITH SIMIO VERIFICATION AND VALIDATION WITH SIMUL8 EXPERIMENTATION: SIMULATION OUTPUT ANALYSIS ARENA OUTPUT ANALYSIS SIMIO OUTPUT ANALYSIS SIMUL8 OUTPUT ANALYSIS EXPERIMENTATION: SIMULATION SCENARIO ANALYSIS ARENA SCENARIO ANALYSIS SIMIO SCENARIO ANALYSIS SIMUL8 SCENARIO ANALYSIS IMPLEMENTING AND INTRODUCING SIMULATION HYBRID SIMULATION (COMBINING DES, ABS and SD) HYBRID MODELLING (COMBINING MODEL-DRIVEN AND DATA-DRIVEN ANALYSIS) INDEX
520			_aWhile 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.
650			_aManagement--Simulation methods _912290
650			_aManagement--Computer simulation _912291
650			_aBusiness--Computer simulation _912292
650			_aDecision making--Computer simulation _96020
650			_aDecision support systems _93854
942			_2ddc _cBK