Simulation Modelling 1st Edition 2022 at Meripustak

Simulation Modelling 1st Edition 2022

Books from same Author: Greasley, Andrew

Books from same Publisher: Taylor and Francis Ltd

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  • General Information  
    Author(s)Greasley, Andrew
    PublisherTaylor and Francis Ltd
    Edition1st Edition
    ISBN9780367643539
    Pages386
    BindingSoftbound
    LanguageEnglish
    Publish YearSeptember 2022

    Description

    Taylor and Francis Ltd Simulation Modelling 1st Edition 2022 by Greasley, Andrew

    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. _x000D__x000D_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. _x000D__x000D_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._x000D_ _x000D_ 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_x000D_