ARENA仿真中文教程
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。
计算机模拟仿真——Arena仿真示例
?seizedelayrelease选项提供了排队等待占用机器或者资源释放资源一系列活动
Arena仿真示例－Mortgage Application Review
Edited by Chen Jianling
1.Drag the Create module from the Basic Process panel into the model window
panel, representing accepted applications, connecting to the True (right) output from the Decide shape. Then, we’ll complete the flowchart with another Dispose for returned applications.
• Process模块有四种可能的选项： • – Delay选项将使实体经历一定的时间延迟。这个 选择项不需要资源。 • – Seize Delay选项提供了等待和延迟，但没有释放 资源供下一个实体使用。需要以后的模块释放资 源。 • – Seize Delay Release选项提供了排队等待，占用 机器或者资源，释放资源一系列活动。 • – Delay Release选项，假定实体先前已占用了资 源，在此产生延迟，最后释放资源。
Poperties: 分布类 型，每次到达数量， 到达限制
2.Drag a Process module ( ) from the Basic Process panel into the model window, placing it to the right of the Create. Arena will automatically connect the two modules.
用VisualBasic实现对Arena仿真模型的控制
第25卷第4期微计算机应用Vol125,No14 2004年7月MICROCOMPU TER APPL ICA TIONS J ul1,2004用Visu al B asic实现对Arena仿真模型的控制3李 涛 冯允成 但 蕾(北京航空航天大学经济管理学院北京100083)摘要:本文提供了两种用Visual Basic实现对Arena仿真模型的控制的方法:内部控制方法可以实现Arena模型运行过程中修改某些仿真参数,外部控制法可以重复仿真,利用这两种方法,可以将自己定义的优化方法加入到Arena模型中,求解复杂的仿真问题。
关键词:Visu al B asic Arena 仿真 优化 内部控制 外部控制Control the Arena simulation model with Visu al B asicL I Tao,FEN G Yuncheng,DAN Lei(School of Economics and Management,Beijing University of Aeronauticsand Astronautics,Beijing,100083,China)Abstract:In this paper,give two way of controlling the Arena simulation model using Visual Basic:①inner control,can modify simulation parameter when Arena model is operating,②outer control,which can run the Arena model re peatedly,with these methods,we can introduce self2defining optimizemethods to the Arena model to solve the com plicated simulation problem1K ey w ords:Visual Basic,Arena,Simulation,O ptimize,Inner control,Outer control 由于现代管理科学的发展,决策问题不再依靠经验判断,任何一个项目,从方案论证、研制、实施各阶段,都需要事前对各种方案进行量化的评估和论证。
基于Arena的银行排队系统仿真建模与分析
III
基于 Arena 的银行排队系统仿真建模与分析
一、引言
近几年商业银行的零售业务快速发展,银行大堂是重要的零售阵地。当前，网 点转型和服务创新成为两大关注热点。很长时间以来,银行柜台零售业务一直承受 着超负荷工作压力,排队现象屡见不鲜,柜台服务质量下降,严重影响顾客满意度。 服务水平可通过内部管理进行改善。顾客增多，要减少排队等候时间就要增 加服务窗口，就要增加营业成本；而增加窗口有可能出现空闲，又浪费资源。因 此，如何找到一个平衡点，使三者达到最佳的平衡状态，是解决银行排队问题的 关键。银行的排队问题由客户人数，服务水平和服务窗口数量等因素综合决定。 其本质是柜台生产与客户需求的矛盾,是柜台生产能力与客户需求不匹配的表现。 本文尝试使用Arena仿真软件对银行排队问题进行系统仿真，根据仿真统计结 果探索银行排队问题的优化方案。
二、原理简述
排队系统基本结构由输入过程、服务机构和排队规则三个部分构成。 根据排队理论, 大部分的顾客到达间隔和服务时间的规律基本符合指数型的 概率密度函数。顾客到达银行的间隔时间的经验分布是指数分布（相继到达的间 隔时间是独立且为同负指数分布，与输入过程为泊松分布是等价的） 。到达银行的 输入过程服从泊松分布要求满足4个条件：平稳性、无后效性、普通性、有限性。 即：①平稳性：在某一时间间隔内到达的顾客数概率只与这段时间的长度和顾客 数有关；②无后效性：不相交的时间区间内到达的顾客数是相互独立的；③普通 性：在同时间点上最多到达 1个顾客，不存在同时到达2个以上顾客的情况；④有 限性：在有限的时间区间内只能到达有限位顾客，不可能有无限个顾客到达[1]。 在本仿真实验中，我们假定顾客到达间隔时间满足泊松分布条件。在高精度 的系统模型中，顾客到达间隔时间是否服从泊松分布，一般都需要进行检验。通 过检验，不仅能确定真实分布类型，还能对统计的数据进行验证。
基于Arena的终端区仿真建模
基于Arena的终端区仿真建模杨鹏;孙俊清;靳慧斌【摘要】The movement logic of aircraft at terminal area is analyzed and the Arena-based simulation model is developed to research the terminal area. The simulation resuhs show that the model can analyze aircraft movement at terminal area from micro- scopic view.. The simulation model can be used in ＇capacity evaluation, runway operation management and tower control simulation.%详细分析了航空器在终端区的运动逻辑，设计了基于Arena平台的终端区空侧计算机仿真模型。
模型运行结果表明，该模型基本能够描述起降航空器在终端区的微观运动过程。
该模型在容量评估、多跑道模式管理和塔台管制仿真中有广泛的应用前景。
【期刊名称】《微型机与应用》【年(卷),期】2012(031)016【总页数】3页(P92-94)【关键词】终端区;微观运动;系统仿真;评估【作者】杨鹏;孙俊清;靳慧斌【作者单位】天津理工大学计算机科学与技术学院,天津300191 天津市智能计算及软件新技术重点实验室,天津300191;天津理工大学计算机科学与技术学院,天津300191 天津市智能计算及软件新技术重点实验室,天津300191;中国民航大学,天津300300【正文语种】中文【中图分类】TP181;TP391.7终端区是航空器从航路飞行到进离场阶段的飞行过渡区，区域内包含一个或多个机场。
一般包括机场跑道系统、定位点、高度层、航路以及航路交叉点等元素。
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。
一种基于Arena仿真软件的装备维修机构人员编配方法
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装备 维修 机构维 修人 员数 量 的编配 是否 合理