Simulation Modeling and Analysis, 5/e (IE-Paperback)

Averill Law (author)

Simulation Modeling and Analysis, 5/e (IE-Paperback)

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商品描述

Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the a€œbiblea€ of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example:

  • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses.

  • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research.

  • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

    Features
  • A CD-ROM containing the Student Version of the ExpertFit distribution-fitting software will be included and will tie to the book
  • Up-to-date treatment of the latest simulation software, including a common example in four of the leading products
  • All of the software used in the book has been upgraded to FORTRAN and C.
  • 20% new problems and examples
  • More comprehensive and practical discussion of how to validate a simulation model
  • New and improved random-number generators
  • Latest statistical techniques for estimating the performance measures of a simulated system, both for terminating and steady-state simulations
  • Ranking-and-selection procedures for choosing the best system configuration, which allow the use of common random numbers for increased efficiency
  • More detailed discussion of how to use the method of common random numbers in practice
  • Greatly expanded and self-contained discussion of classical design of experiments, with a particular emphasis on how to correctly implement these techniques in the context of simulation modeling
  • Several detailed examples on the use of simulation-based optimization

    Table of Contents
    1 Basic Simulation Modeling
    2 Modeling Complex Systems
    3 Simulation Software
    4 Review of Basic Probability and Statistics
    5 Building Valid, Credible, and Appropriately Detailed Simulation Models
    6 Selecting Input Probability Distributions
    7 Random-Number Generators
    8 Generating Random Variates
    9 Output Data Analysis for a Single System
    10 Comparing Alternative System Configurations
    11 Variance-Reduction Techniques
    12 Experimental Design, Sensitivity Analysis, and Optimization
    13 Agent-Based Simulation and System Dynamics
    14 Simulation of Manufacturing Systems

    • 商品描述(中文翻譯)

    自1982年第一版出版以來，《模擬建模與分析》的目標一直是提供全面、最新且技術上正確的模擬研究各個重要方面的處理方法。本書力求通過直觀和大量的圖表、例子和問題來使這些材料易於理解。它同樣適用於大學課程、模擬實踐和自學。這本書被廣泛認為是模擬的「聖經」，目前已經印刷了超過10萬本。本書可以作為各種課程的主要教材，例如：

    1. 工程、製造、商業或計算機科學的大學本科生、研究生或初級研究生的模擬初級課程（第1章至第4章和第5章至第9章的部分）。在這門課程結束時，學生將能夠進行完整有效的模擬研究，並能夠進一步學習高級模擬課程。

    2. 任何上述學科的研究生的模擬高級課程（第5章至第12章的大部分）。完成這門課程後，學生應該熟悉模擬研究中更高級的方法論問題，並準備好理解和進行模擬研究。

    3. 作為運籌學或管理科學通用課程的一部分的模擬入門（第1章、第3章、第5章、第6章和第9章的部分）。

    特點：

    - 包含學生版ExpertFit分佈擬合軟件的CD-ROM，與本書相關聯。
    - 最新的模擬軟件處理方法，包括四個主要產品的共同示例。
    - 本書中使用的所有軟件都已升級為FORTRAN和C。
    - 20%的新問題和例子。
    - 更全面和實用的討論如何驗證模擬模型。
    - 新的和改進的隨機數生成器。
    - 估計模擬系統性能指標的最新統計技術，包括終止和穩態模擬。
    - 選擇最佳系統配置的排名和選擇程序，允許使用共同隨機數以提高效率。
    - 更詳細的討論如何在實踐中使用共同隨機數方法。
    - 大幅擴展且自成一章的傳統實驗設計討論，特別強調如何在模擬建模的背景下正確實施這些技術。
    - 關於基於模擬的優化的幾個詳細例子。

    目錄：

    1. 基本模擬建模
    2. 建模複雜系統
    3. 模擬軟件
    4. 基本概率和統計回顧
    5. 構建有效、可信和適當詳細的模擬模型

    以上為翻譯結果，請確認是否符合需求。

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