arena 静态仿真 系统仿真建模例题
可视化交互仿真软件ArenaArena的层次建模结构Arena通过使用
可视化交互仿真软件Arena的层次建模结构引言在制造和服务业，经常需要进行复杂的流程和系统模拟，以评估不同决策的效果。
为了减少设计和实现这些模拟过程的复杂性，人们创建了仿真软件，其中，可视化交互仿真软件Arena是其中一个常用的软件。
Arena是一个基于事件驱动的仿真软件，它允许用户通过图形界面的方式来建立复杂的仿真模型，并提供了强大的数据分析、可视化和报告生成工具。
在Arena 中，一个模型可以包含多个阶段，每个阶段代表着系统中的一个服务点或处理单元。
为了简化建模过程和提高模拟效率，Arena提供了层次建模的方法。
Arena的层次建模结构Arena的层次建模结构是将系统分解为多个子系统的层次结构，从而简化建模过程，提高仿真效率。
具体来说，这个结构由以下三个层次组成：顶层模型顶层模型是Arena建模过程的起点，它是整个系统的顶级表示。
在顶层模型中，用户定义了系统中所有子系统和它们之间的关系，以及仿真实验的运行参数。
这个模型也可以包含一个或多个实现模型。
实现模型实现模型是最底层的子系统，它定义了系统中的特定过程、服务点、工作站或排队系统。
在实现模型中，用户可以定义一些基本的仿真对象，如进程、交互、收集统计信息等。
中间模型中间模型连接顶层模型和实现模型，它可以简化顶层模型和实现模型之间的交互。
在中间模型中，用户可以创建自定义的进程、收集和更新统计信息、调用全局变量以及连接进程。
Arena的层次建模优点使用Arena的层次建模结构可以提供几个优点，具体如下：简化建模过程Arena通过层次建模结构将系统分解为多个子系统，从而简化建模过程。
用户可以先为每个子系统创建一个实现模型，然后再将它们组合到一个顶层模型中，避免了直接在顶层模型中定义系统的全部细节。
提高仿真效率将系统分解为多个子系统后，Arena可以并行仿真每个子系统，从而提高整个系统的仿真效率。
这也意味着用户可以更快地评估系统的各种决策。
简化故障诊断由于Arena的层次建模结构，用户可以轻松诊断和分析系统的故障，因为通过分解系统，用户可以更容易地找到问题出现的位置。
第6章 Arena仿真建模方法及应用16
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arena仿真建模题目
arena仿真建模题目
以下是一个Arena仿真建模的题目示例：
题目：货箱需求仿真
要求：
1. 建立仿真模型以模拟货箱需求情况。
2. 设定订货量、单价、最低和最高需求等参数。
3. 分析前8周的需求、销量和利润情况。
4. 计算总成本、过剩成本和缺货成本等指标。
根据以上要求，可以使用Arena软件进行仿真建模。
在建模过程中，需要考虑货箱的需求情况，包括订货量、单价、最低和最高需求等参数，并使用这些参数来计算总成本、过剩成本和缺货成本等指标。
同时，需要分析前8周的需求、销量和利润情况，以便更好地了解货箱需求的变化趋势和市场情况。
arena仿真案例作业
arena仿真案例作业Arena是一种仿真软件，用于模拟和分析复杂的系统。
它可以用于各种领域的仿真，如生产、物流、交通等。
本文将介绍一些使用Arena仿真的案例，以展示其在实际应用中的作用。
1. 生产线优化在一个制造工厂中，使用Arena仿真来优化生产线的布局和工序安排。
通过模拟不同的工艺流程和生产线配置，可以找到最佳的生产方案，以提高生产效率和减少生产成本。
2. 物流调度在一个物流中心中，使用Arena仿真来优化货物的调度和运输路线。
通过模拟不同的调度算法和路线规划策略，可以找到最优的货物分配方案，以提高物流效率和减少运输成本。
3. 供应链管理在一个供应链中，使用Arena仿真来优化供应商选择、库存管理和订单处理等环节。
通过模拟不同的供应链策略和管理方法，可以找到最佳的供应链配置方案，以提高供应链的可靠性和响应能力。
4. 客流分析在一个交通枢纽中，使用Arena仿真来分析客流量和人员流动。
通过模拟不同的交通规划和站点布局，可以找到最佳的交通方案，以提高交通效率和减少拥堵情况。
5. 医院排队在一个医院中，使用Arena仿真来优化患者的排队和就诊流程。
通过模拟不同的排队算法和就诊规则，可以找到最佳的医疗服务方案，以提高就诊效率和患者满意度。
6. 电力系统在一个电力系统中，使用Arena仿真来优化电力的调度和供应。
通过模拟不同的电力调度策略和供应方案，可以找到最佳的电力运营方案，以提高电力供应的可靠性和效率。
7. 金融风险管理在一个金融机构中，使用Arena仿真来分析和管理风险。
通过模拟不同的风险事件和投资策略，可以评估风险暴露和损失潜力，以制定最佳的风险管理方案。
8. 零售店铺布局在一个零售店铺中，使用Arena仿真来优化商品陈列和店员安排。
通过模拟不同的陈列方案和人员调度策略，可以找到最佳的店铺布局方案，以提高销售额和客户满意度。
9. 城市规划在一个城市中，使用Arena仿真来分析人口流动和资源分配。
Arena Simulation 模拟仿真案例
TABLE OF CONTENTSTitle Page No.Abstract (2)Introduction (2)Research (3)Description of the Arena simulation model (4)Information (4)Steps of the system (6)Model overview (6)Step 1: Arrival stage (7)Step 2: Registration stage (8)Step 3: Doctoring stage (10)Step 4: Exit stage (14)The result (14)The number of statistical and curve diagrams (14)Report (15)Analyze the result (17)Conclusion (20)References (21)AbstractThe medical effectiveness and efficiency is an important index to measure the merits and demeritsof a hospital, which means that a good medical institution should not only have superior professional skill, but also have efficient and high-quality services. But in many smaller and older hospital or clinics, the long queue and outdated equipments are common issues. This model using Arena software is designed to improve these problems. First, a model is established to simulate a certain clinic that only have tradition artificial registration ways and some outdated equipment, and then the self-service equipment registration and the online registration are added into initial model, and more advanced medical devices also are added to assist in diagnosing patients for some complex diseases, which can reduce the diagnosis time of patients and the pressure of doctors. In addition, we will discuss the results, through comparing the original operational data (without self-service registration) with new system (including the self-service registration), we can further analyze the feasibility of the application and draw a conclusion.Key words: hospital, self-service, simulation system, Arena.IntroductionWith the growth of population and the development of science and technology, the health care industry has also improved greatly. Many of the most advanced medical devices have been applied to treatment and testing, which improves the efficiency and accuracy of doctors, and Internet technology is also used in many programs, some new, large-scale hospitals or clinics not only have an advantage in medical effects, but also give people a better experience in terms of service quality, medical environment and other details. Although they are more expensive, they still attract a lot of patients with a variety of advantages. But some of the smaller or older hospitals or clinics are facing many problems about capital, resource, efficiency and so on. For example, insufficient resources cannot meet the growing number of patients, a small number of outdated devices that can't meet the current physical therapy level. In order to solve these problems, there are two common ways, one is to expand the hospital directly with a large amount of money, but most of these hospitals cannot afford it, the other is to improve their medical facilities on the existing conditions, thereby matching the current needs, and the second method is the better way more medical institutions choose.ResearchAccording some researches, many of medical institutions’ work hours are from 8 a.m. to 5 p.m., and the busy hours is between 9.00 and 11.00 a.m. and 13.00 and 15.00 p.m., and the lunch time is between 11 a.m. and 1p.m..For the online registry and self-service by equipments, because they have some shortcomings, they do not have the face-to-face counseling and have more complex procedures, so these forms of service cannot completely replace artificial registration. However, some people who are familiar with the medical procedure or feel it is too long of queues of the artificial registration will be willing choose these forms of registration.About medical equipments, in recent years, advanced medical devices have been designed to be more efficient and smaller, shorter applications and high automation, which make it very practical, convenient, accurate and so on. So superior hospitals usually use advanced equipment to assist doctors, which also makes hospitals more competitive.In addition, a patient who goes to the doctor usually needs several times such as initial diagnosis, rediagnosis, buying medicine and so on. Therefore, the patient will choose the next process in a certain proportion after the diagnosis.This table summarizing above informationDescription of the Arena simulation modelThis model simulates the working mode of a small clinic base on some research data and hypothesis parameters. The workflow of the model: Arrival – Registration – Waiting doctor – diagnosis –Payment – Lab – Medicine – Exit.InformationArrival distributionInter-arrival rate: Random Exponential distribution with a mean of 5 minutesArrival during busy hours (9.00-11.00 a.m.): constant with 1 person/2 minutesArrival during busy hours (13.00-15.00 p.m.): constant with 1 person/2 minute Resources:According to some factors like lunch time, the resource value and resource types are set by different condition in the model.Schedule:Setting the schedule depend on allocation of resources. Take the doctor 1 for example. The time from 11.00 a.m. to 12.00 noon is the lunch hour, so the value is set to be 0 during this time.Queue:Because some patients need a repeat queue, so some assignments are used to set priority queue levels for some entities and processes apply the corresponding rules in a particular queue.Assignment:Some principles are assigned at some points in order to ensure the system to meet actual situations.Steps of the system Model overviewLayout a clinicStep 1: Arrival stageThe first stage is mainly used to set the entity arrival form and the time limit. The parameter settings are shown in the picture below.Step 2: Registration stageStep2.1This stage is to set the registration method selection. According to the parameter settings in the below picture, the patient selects the registration method. When the number of the queue of an artificial registration is more than 2, the patient needs to choose the self-service ways.Step 2.2This stage shows registering processes, there are two original artificial registration processes and new extra two registration methods, self-service equipments and online registration. The parameter settings are shown in the picture below.Step 3: Doctoring stageStep 3.1When the second stage is completed, people need to go to the waiting area first, which is the area in which queues are generated due to the limited resources of doctors. When there is no waiting queue in the waiting area, the patient goes directly to the doctor's offices, but if there is a queue in this process, the patient needs to join the queue for waiting resources to be released. The values are shown in the picture below.Step 3.2In this station, the number of waiting each doctor is limited to 2. If there are no spaces in the queues, patients need to go to the waiting area.Step 3.3This stage is the main stage of diagnosis, and the parameter settings of the three branches are same. The branch of doctor 1 will be described as a representative.Step 3.4This is the final stage of doctoring including four parts payment, lab, taking medicine, leaving directly, and the special part is the doing my lab , when this process is over, the patient needs to go back to the previous doctor's office, so it is needed to set the patient's waiting priority as high.Step 4: Exit stageThis is the final stage, people will leave and the simulation system finish.The resultThe number of statistical and curve diagramsReportWIP (the mean number of entities in the system)Queue of processes in the systemResources used in the systemAnalyze the resultDuring the nine hours of the system was running, 214 patients arrive, and 62 patients register by the self-services and 54 patients do a lab, which indicate that the self-service play an important role. By canceling the self-service registration methods to change the model to original registration ways, different data will be got. Comparing this data with improving system’s date, we can find that when there is not self-service, the waiting time of queues of artificial registrations is relatively long, 24.93 and 17.53 minutes, while the system add the self-service, the time becomes short, 2.98 and 1.06 minutes. When the clinic does not add the self-service registration ways, and under presumably same average process time (14.53 and 14.38 minutes), the average waiting time of each entity in the clinic is 38.39 minutes and the average total time is 61.92 minute, but in the adding self-service registration system, they are 12.9 and 36.09 minutes respectively. So it can be determined that adding the self-service registration system can reduce the waiting time of patients, and make the process of medical care shorter.ConclusionBased on above analysis, when the simulation model of a clinic adds the self-service registration, under the same average time of process, the waiting time becomes shorter. Although the utilization rate of two employees working at the registration desk has been reduced, the waiting time is considered to be an important issue impacting the service quality of the clinic. And the investment is very less than adding more employees.In this model, the result does not directly respond the effect of adding new medical devices used to assist in doctors, but because of these devices, when the improving model was established, the value of the process of doctor was set to be shorter. In other words, more advanced medical equipments mean less time spend on diagnosis and more patients coming. In fact, the self-service and advanced equipments have a lot of benefits for both internal and external aspects of a hospital or clinic. For the internal aspect, it not only can improve work efficiency and accuracy, but also reduce the pressure of employees, and for the external aspect, it can raise the reputation of a medical institution, and attract more people, which will bring more profits.Sum up, the simulation model provide a good way to help some hospitals or clinics to analyze and perfect their service quality.Lab exam Spring 2020 References[1]. Chinese Journal of Modern Medicine, Mar 2018.[2].Google research - Google map – Clinics in Dubai[3].Book: Kelton, W.D., Sadowski, R.P., and Sturrock, D.T: Simulation with Arena, Fourth Edition, 2007, McGraw Hill (with limited student edition of Arena on CD-Rom).[4].In a computer where Arena installed, use the following path: Start/Programs/Rockwell Software/Arena/Online Books Very useful examples are available when you opened Arena in a computer and use the help. You can use Arena help and Arena SMART files from the help menuModeling of Engineering Management Systems Page 21。
arena系统仿真课程设计
arena系统仿真课程设计一、课程目标知识目标：1. 学生能理解arena系统仿真的基本概念，掌握仿真模型构建的基本步骤。
2. 学生能描述仿真软件Arena的操作流程，运用Arena软件进行简单的仿真实验。
3. 学生了解仿真技术在项目管理、生产流程等领域的应用。
技能目标：1. 学生能够运用Arena软件构建简单的仿真模型，进行数据分析和参数优化。
2. 学生能够通过实际案例，分析问题、设计解决方案，运用仿真技术验证方案的有效性。
3. 学生能够运用Arena软件进行实验设计，独立完成仿真实验，并撰写实验报告。
情感态度价值观目标：1. 学生对系统仿真产生兴趣，认识到其在解决实际问题中的价值。
2. 学生在团队协作中培养沟通、合作能力，养成积极探索、主动学习的习惯。
3. 学生能够通过仿真实验，培养严谨的科学态度和问题分析能力。
课程性质：本课程为实践性较强的课程，旨在通过实际操作，让学生掌握Arena系统仿真的基本技能。
学生特点：学生为高年级本科生，具备一定的理论基础和实际操作能力，对新技术有较高的接受度。
教学要求：结合学生特点，注重理论与实践相结合，鼓励学生动手实践，培养实际应用能力。
通过课程学习，使学生在实际操作中掌握仿真技术，提高解决实际问题的能力。
教学过程中，注重培养学生的团队协作、沟通表达和问题分析能力。
二、教学内容1. Arena系统仿真基本概念：仿真模型、仿真引擎、事件调度等。
2. Arena软件操作流程：软件界面介绍、基本操作、模型构建与运行。
3. 常用仿真元素及其应用：实体、资源、队列、处理器、决策点等。
4. 仿真模型构建方法：识别系统元素、建立逻辑关系、设置参数、运行与调试。
5. 实际案例分析：项目管理系统、生产流程优化、物流配送等。
6. 数据分析与参数优化：输出分析、敏感度分析、优化算法应用。
7. 实验设计与实验报告撰写：设计实验方案、实施实验、分析结果、撰写报告。
教学大纲安排：第一周：Arena系统仿真基本概念介绍，软件安装与界面熟悉。
基于ARENA的场站飞行保障过程建模与仿真
第20卷第3期系统仿真学报©V ol. 20 No. 3 2008年2月Journal of System Simulation Feb., 2008 基于ARENA的场站飞行保障过程建模与仿真方绍强1，卫克1,2，陈伟鹏1,2，赵尚弘1，胥杰1(1.空军工程大学电讯工程学院, 陕西西安 710077；2.空军后勤部, 北京 100720)摘要：运用离散事件仿真(DES)方法建立了航空兵场站飞行保障过程的数学模型，包括单个保障类型Ac k模型、和整个飞行保障过程的层次结构模型PR i，以及飞行保障过程仿真策略模型PS。
并在所建的数学模型的框架下利用离散事件仿真软件ARENA对航空兵场站网络化飞行保障过程进行了仿真。
仿真结果表明：网络化条件下的主动保障方式的保障时间可以比传统的被动保障方式的保障时间缩短4.3分钟，提高保障效率10.5%。
关键词：飞行保障过程；建模与仿真；离散事件仿真；仿真策略中图分类号: TP391.9 文献标识码: A 文章编号: 1004-731X (2008) 03-0746-05 Modeling and Simulation of Flight Support Process of Airfield StationBased on ARENAF ANG Shao-qiang1, WEI Ke1.2, CHEN Wei-peng1.2, ZHAO Shang-hong1, XU Jie1(1.The Telecommunication Engineering Institute, AFEU, Xi’an 710077, China; 2.Logistics Department of Air Force, Beijing 100720, China) Abstract: Based on discrete event simulation method (DES), the mathematic model of flight support process of Airfield Station was proposed, including single support kind Ac k model, the hierarchy model PR i and simulation strategy model PS of the whole flight support process. Also the flight support process of Airfield Station was simulated utilizing discrete event simulation software ARENA based on the frame of the above mathematic models. The simulation results prove that the support time of active support mode under network situation could be reduced by 4.3 minutes compared with traditional passive support mode, and the support efficiency is 10.5% higher.Key words: flight support process; modeling and simulation; discrete event simulation; simulation strategy引言为了适应未来航空兵作战将呈现的信息主导、发起突然、多波次大强度、连续作战的特点，建设航空兵数字化场站具有重要意义[1,2]。
系统建模与仿真实验指导书ⅠARENA二维仿真建模实验
系统建模与仿真实验指导书ⅠARENA二维仿真建模实验一、实验目的：1简单流水线建模实验掌握ARENA二维仿真软件的基本操作，掌握ARRIVE、DEPART、SEVER、INSPECT、SIMULATION等模块的应用与连接，学会采用该软件建立一条简单的生产流水线，并进行逻辑模块的参数设置和物理模块的界面设计，建成的仿真系统能运行并返回需要的统计数据。
2生产制造过程仿真建模实验借助工业工程综合实验——装配线设计实验的成果——装配线的结构与布局以及各主要工位的操作数据，通过ARENA软件进行仿真建模，比较系统运行的结果，对综合实验的设计方案进行验证实验，调整参数，寻求优化方案，进行优化设计实验。
二、实验步骤主要解决的四个问题：1）模型的建立,确定该系统需要的模块类型和数量：输入(Arrive)，输出(Depart)，加工操作(Sever)，检验操作(Inspect)以及他们的先后顺序和连接关系2）参数设置：包括模块内参数设置和系统参数设置3）统计分析功能的建立：成品及废品平均流程时间、成品率、废品率以及其方差设置和实现，并能对此进行分析和评价，重新调整参数以实现系统优化；4)界面优化，利用系统工具或者画图工具，对仿真运行界面进行优化，体现更清晰的运动状态和物流路径，模拟加工过程的实现附：上机操作指导软件工具介绍一、Arena 软件工具的特点Arena是一个Microsoft Windows下的工具，所以它的基本界面你应该早已熟悉,但是由于Arena仿真软件是属于专业软件，并不常见，国内对该软件的操作方面的资料甚少，而且还都是外文版，所以有必要对Arena的操作界面以及相关的仿真建模操作和模块进行介绍。
（一）、操作界面图 3-1 Arena的界面1 File 菜单在这个菜单里，你可以新建Arena模型文件，打开现有模型，关闭窗口，存储模型或创建一个只许观看的模型，你也可以引进CAD图形，将AUTOCAD作为Arena 的支持工具，而在一些情况下，活动元素将允许你使用现有的详尽的机器设备的图形。