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Discrete-event system simulation

Banks, J. , Carson, J. S. Ii

New Jersey


Discrete-event system simulation

Tác giả: Banks, J. , Carson, J. S. Ii
Loại tài liệu: Sách, chuyên khảo, tuyển tập
Ký hiệu: Lv1755
Mã giá: 68BA
Nội dung tóm tắt: Xem chi tiết
The objective of this text is to provide a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. The simulation of systems from the perspective of the engineer, manager, economist, or scientist has become a common application of the digital computer. Discrete-event simulation permits the evaluation of operating performance prior to the implementation of a system; it permits the comparison of various operational alternatives without perturbing the real system; it permits time compression so that timely policy decisions can be made. Finally, it can be used by many people because of its readily comprehended structure and the availability of special-purpose computer simulation languages. However, simulation can be easily misused, and simulation results taken with more confidence than is justified. The proper collection and analysis of data, the use of analytic techniques when they will suffice, the verification and validation of models, and the appropriate design of simulation experiments are all potential pitfall areas which are treated extensively in this text. The material in this book should be readily understandable to the reader who has a basic familiarity with differential and integral calculus, probability theory, and elementary statistics. No theorems or proofs appear in the text. However, statistical or mathematical correctness has not been sacrificed. Most topics in probability and statistics are thoroughly reviewed before being applied in the simulation context.
Mục lục: Xem chi tiết
Part one. INTRODUCTION TO DISCRETE-EVENT SYSTEM SIMULATION 1. Introduction to Simulation 1.1 When Is Simulation the Appropriate Tool? 1.2 Advantages and Disadvantages of Simulation 1.3 Areas of Application 1.4 Systems and System Environment 1.5 Components of a System 1.6 Discrete and Continuous Systems 1.7 Model of a System 1.8 Types of Models 1.9 Discrete-Event System Simulation 1.10 Steps in a Simulation Study References Exercises 2. Simulation Examples 2.1 Simulation of Queueing Systems 2.2 Simulation of Inventory Systems 2.3 Other Examples of Simulation 2.4 Summary References Exercises 3. Discrete-Event Simulation: General Principles and Computer Simulation Languages 3.1 Concepts in Discrete-Event Simulation 3.2 Programming Languages for Discrete-Event Systems Simulation 3.3 Summary and Comparison of Simulation Languages References Exercises Part two. MATHEMATICAL AND STATISTICAL MODELS 4. Statistical Models in Simulation 4.1 Review of Terminology and Concepts 4.2 Useful Statistical Models 4.3 Discrete Distributions 4.4 Continuous Distributions 4.5 Poisson Process 4.6 Empirical Distributions 4.7 Summary References Exercises 5. Queueing Models 5.1 Characteristics of Queueing Systems 5.2 Queueing Notation 5.3 Transient and Steady-State Behavior of Queues 5.4 Long-Run Measures of Performance of Queueing Systems 5.5 Steady-State Behavior of Infinite Population Markovian Models 5.6 Steady-State Behavior of Finite-Population Models (M/M/c/K/K) 5.7 Summary References Exercises 6. Inventory Systems 6.1 Measures of Effectiveness 6.2 Inventory Policies 6.3 Deterministic Systems 6.4 Probabilistic Systems 6.5 Simulation in Inventory Analysis 6.6 Summary References Exercises Part three. RANDOM NUMBERS 7. Random Number Generation 7.1 Properties of Random Numbers 7.2 Generation of Pseudo-Random Numbers 7.3 Techniques for Generating Random Numbers 7.4 Tests for Random Numbers 7.5 Summary References Exercises 8. Random Variate Generation 8.1 Inverse Transform Technique 8.2 Direct Transformation for the Normal Distribution 8.3 Convolution Method 8.4 Acceptance-Rejection Technique 8.5 Summary References Exercises Part four. ANALYSIS OF SIMULATION DATA 9. Input Data Analysis 9.1 Data Collection 9.2 Identifying the Distribution 9.3 Parameter Estimation 9.4 Goodness-of-Fit Tests 9.5 Bivariate Data 9.6 Summary References Exercises 10. Verification and Validation of Simulation Models 10.1 Model Building, Verification, and Validation 10.2 Verification of Simulation Models 10.3 Calibration and Validation of Models 10.4 Summary References Exercises 11. Output Analysis for a Single Model 11.1 Stochastic Nature of Output Data 11.2 Types of Simulations with Respect to Output Analysis 11.3 Measures of Performance and Their Estimation 11.4 Output Analysis for Terminating Simulations 11.5 Output Analysis for Steady-State Simulations 11.6 Summary References Exercises 12. Comparison and Evaluation of Alternative System Designs 12.1 Comparison of Two System Designs 12.2 Comparison of Several System Designs 12.3 Statistical Models for Estimating the Effect of Design Alternatives 12.4 Summary References Exercises APPENDIX: TABLES Index

Thông tin chi tiết

    Dạng tài liệu:Bản in
    Chỉ số ISBN:0-13-215582-6
    Ngôn ngữ:eng
    Mã giá:68BA
    Mã MSC:Đang cập nhật ...
    Tác giả:Banks, J, Carson, J. S. Ii
    Nhan đề:Discrete-event system simulation
    Lần xuất bản:1
    Xuất bản, phát hành:H : New Jersey , 1984
    Số trang:514;
    Kích thước:24 cm
    Từ Khóa:discrete event simulation , event scheduling , inventory systems , performance measures , process interaction , queueing models , simulation languages , statistical models in simulation
    Bộ sách:Prentice-Hall International Series in Industrial and Systems Engineering

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