Simulation Modeling and Analysis with Arena

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出版者:Academic Pr
作者:Altiok, Tayfur/ Melamed, Benjamin
出品人:
页数:456
译者:
出版时间:2007-6
价格:$ 111.81
装帧:HRD
isbn号码:9780123705235
丛书系列:
图书标签:
  • Simulation
  • Modeling
  • Arena
  • Discrete-Event Simulation
  • Operations Research
  • Industrial Engineering
  • Queueing Theory
  • Performance Evaluation
  • Manufacturing Systems
  • Stochastic Processes
  • System Analysis
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具体描述

"Simulation Modeling and Analysis with Arena" is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. This title introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems. It covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems. It reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling. It features ample end-of-chapter problems and full Solutions Manual. It includes CD with sample ARENA modeling programs.

《模拟建模与分析》一书系统地介绍了现代仿真技术在各个领域中的应用,特别聚焦于Arena软件平台提供的工具和方法。该书详细解析了从模型构建到结果分析的整个过程,帮助读者全面理解其操作原理及实际应用场景。内容深入探讨了模拟环境的设计与优化,强调通过科学设置实验条件来提高数据处理的准确性和可靠性。书中对不同类型的仿真问题进行了系统分类,并详细讲解了如何选择合适的算法和工具以应对复杂的业务情境。读者将了解到如何使用该软件实现多维度的数据建模,以及如何利用Arena平台进行流程优化、决策支持等实际操作。书中还特别强调了仿真结果的验证与反馈机制,确保分析过程的透明性和科学性。内容丰富且结构清晰,适合读者深入学习仿真建模的理论与实践技巧。这本书不仅适用于相关专业的研究人员,还为管理层提供了强有力的决策工具,使其能够在不同场景中做出更具前瞻性的判断。通过系统化的内容设计,读者将获得对模拟技术应用的全面理解,并具备实际操作能力,为未来的科研或工作奠定坚实基础。这本书注重逻辑性和实用性,旨在为用户提供一种可信赖且易于掌握的学习路径。

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