Discrete Event System Simulation

所在平台: Udemy

课程主页: https://www.udemy.com/course/discrete-event-system-simulation/

课程评论:没有评论

第一个写评论        关注课程

课程简介

**课程名称:离散事件系统仿真** **课程概述:** 本课程将深入探讨“仿真”的概念及其在理解和预测系统行为中的重要性。仿真通过构建真实系统(如项目、企业、矿山、流域、森林或人体器官)的数学模型,并将其转化为计算机程序,来揭示控制系统行为的关键因素。 **仿真目的:** * **揭示系统机制:** 帮助理解系统运作的内在规律。 * **预测未来行为:** 预估系统未来的发展趋势和对环境的响应。 * **优化系统性能:** 识别并实施必要的改变,以达到期望的系统表现。 **仿真的力量:** * **评估替代方案:** 在不干扰实际系统(避免高成本、耗时等问题)的情况下,评估不同的设计、计划或策略。 * **应对不确定性:** 尽管预测未来行为可能充满挑战,尤其是在存在随机、不确定或理解不清的参数、过程和事件时,仿真能够量化风险,帮助识别和量化与特定选项、计划或设计相关的风险。 **仿真软件:** 仿真软件是设计分析和支持的强大工具,它允许用户评估、比较和优化替代设计、计划和策略,是向利益相关者解释和论证决策的有效手段。

课程评论(0条)

课程详情

What is the Simulation?The term simulation is used in different ways by different people. A simulation uses a mathematical description, or model, of a real system in the form of a computer program. As far as this office is concerned, simulation is defined as the process of creating a model of an existing or proposed system (e.g., a project, a business, a mine, a watershed, a forest, the organs in your body) in order to identify and understand those factors which control the system and/or to predict the future behavior of the system.Purpose of SimulationThe underlying purpose of simulation is to shed light on the underlying mechanisms that control the behavior of a system. More practically, simulation can be used to predict the future of behavior of a system, and determine what you can do influence that future behavior. That is, simulation can be used to predict the way in which the system will evolve and respond to its surroundings, so that you can identify any necessary changes that will help make the system perform the way that you want to it.The Power of SimulationSimulation is a powerful and important tool because it provides a way in which alternative designs, plans and/or policies can be evaluated without having to experiment on a real system, which may be costly, time-consuming etc.Although simulation can be valuable tool for better understanding the underlying mechanisms that control the behavior of a system, using simulation to make predictions of the future behavior of a system can be difficult. This is because, for most real world systems, at least some of the controlling parameters, processes and events are often stochastic, uncertain and/or poorly understood. The objective of many simulations is to identify and quantify the risks associated with a particular option, plan or design. Simulating a system in the face of such uncertainty and computing such risks requires that the uncertainties be quantitatively included in the calculations.Simulation SoftwareSimulation is a design analysis and support tool. Simulation software allows you to evaluate, compare and optimize alternative designs, plans and policies. As such, it provides a tool for explaining and defending decisions to various stakeholders.

课程标签

0人关注该课程

主题相关的课程