Using the Input Analyzer

Slides:



Advertisements
Similar presentations
Clicking on the link for the.tns file gives you will get the following screen: Select Save File and click OK.
Advertisements

Review bootstrap and permutation
Using the SmartPLS Software
NMDS 2.0 Program Description Dealing with Missing Values (MV) Basic Knowledge about the Interface This is a usual Power Point Presentation. Use Mouse-Clicks.
Chapter 18 If mathematical analysis is too difficult, we can try each possibility out on paper. That way we can find which alternative appears to work.
 1  Outline  Chapter 3: Guided Tour Through Arena  Chapter 4: Modeling Basic Operations and Inputs.
Arena modeling Conceptual model can be converted into Arena model. Arena model: connected building blocks. Building blocks must be parameterized. Arena.
Eastern Mediterranean University Department of Industrial Engineering IENG461 Modeling and Simulation Systems Computer Lab 2 nd session ARENA (Input Analysis)
Simulation Operations -- Prof. Juran.
GETTING STARTED !! TA: May Al Mousa Networking and Communication Systems Faculty of computer and information science.
1 The Output Analyzer Separate application, also accessible via Tools menu in Arena Reads binary files saved by Arena Various kinds of output-data display,
Random-Variate Generation. Need for Random-Variates We, usually, model uncertainty and unpredictability with statistical distributions Thereby, in order.
Simulation Modeling and Analysis
Analysis of Simulation Input.. Simulation Machine n Simulation can be considered as an Engine with input and output as follows: Simulation Engine Input.
Probability Distributions Random Variables: Finite and Continuous A review MAT174, Spring 2004.
Ceng 476 Projects Projects Project TitleProject No.# Groups#Persons/Group Migros Şok Market12 2 PTT222 Cafeteria Students Section322 Cafeteria Staff.
1 Automotive Maintenance and Repair Shop Expansion Presentation by Steve Roberson For CST 5306 Modeling and Simulation.
Chapter 5 Modeling & Analyzing Inputs
 1  Outline  world view of simulation  overview of ARENA  simple ARENA model: Model  basic operations: Model
Chapter 4 – Modeling Basic Operations and Inputs  Structural modeling: what we’ve done so far ◦ Logical aspects – entities, resources, paths, etc. 
Chapter 5 Statistical Models in Simulation
1 CS 475/575 Slide Set 6 M. Overstreet Spring 2005.
1 Chapter 17 Standing in line – at the bank, the market, the movies – is the time-waster everyone loves to hate. Stand in just one 15-minute line a day,
1 Statistical Distribution Fitting Dr. Jason Merrick.
DSS Lab October 23, 2003.
Entities and Objects The major components in a model are entities, entity types are implemented as Java classes The active entities have a life of their.
קורס סימולציה ד " ר אמנון גונן 1 ההתפלגויות ב ARENA Summary of Arena’s Probability Distributions Distribution Parameter Values Beta BETA Beta, Alpha Continuous.
1 Terminating Statistical Analysis By Dr. Jason Merrick.
Selecting Input Probability Distribution. Simulation Machine Simulation can be considered as an Engine with input and output as follows: Simulation Engine.
ECE 466/658: Performance Evaluation and Simulation Introduction Instructor: Christos Panayiotou.
READING AND WRITING FILES. READING AND WRITING FILES SEQUENTIALLY  Two ways to read and write files  Sequentially and RA (Random Access  Sequential.
Learning Simio Chapter 10 Analyzing Input Data
Jonathan Atzmon, ISE/ETM Dr. Joan Burtner, Advisor Last Revised 03/03/15 Atzmon ETM , Simulation in Healthcare, Spring 2015, Dr. Joan Burtner 1.
Sampling and estimation Petter Mostad
(C) J. M. Garrido1 Objects in a Simulation Model There are several objects in a simulation model The activate objects are instances of the classes that.
1 1 Slide Continuous Probability Distributions n The Uniform Distribution  a b   n The Normal Distribution n The Exponential Distribution.
Second Model: “Model2”. What You Will Learn  How to build a simple layout  How to connect ports for routing flowitems  How to detail and enter data.
Downloading the MAXENT Software
Modeling Space/Time Variability with BMEGUI Prahlad Jat (1) and Marc Serre (1) (1) University of North Carolina at Chapel Hill.
Using EduStat © Software Classical Items Analysis Computing.
Basic Terminology BASE EXPONENT means Important Examples.
Test1 Here some text. Text 2 More text.
Modeling and Simulation CS 313
OPERATING SYSTEMS CS 3502 Fall 2017
Calibration meeting summary
Random Variable 2013.
WORKSHOP 1 CUSTOM TIRE SUBROUTINE
Basic Probability Distributions
Modeling and Simulation CS 313
Modeling Space/Time Variability with BMEGUI
Random Variates 2 M. Overstreet Spring 2005
Using local variable without initialization is an error.
First Arena Model.
Modelling Input Data Chapter5.
[type text here] [type text here] [type text here] [type text here]
Modelling and Simulation
Your text here Your text here Your text here Your text here Your text here Pooky.Pandas.
Your text here Your text here Your text here Your text here
Tonga Institute of Higher Education
[type text here] [type text here] [type text here] [type text here]
Amos Introduction In this tutorial, you will be briefly introduced to the student version of the SEM software known as Amos. You should download the current.
Chapter 1: Boundary Value Testing
YOUR text YOUR text YOUR text YOUR text
Chapter 4 – Modeling Basic Operations and Inputs
Graphic and Other Object in Origin
Small freshness Template.
Tutorial 11 Using and Writing Visual Basic for Applications Code
Day 2: introduction.
Zero and negative exponents
ARENA.
Presentation transcript:

Using the Input Analyzer

Need to have A text file with numbers A “hard” return after each number no commas, no tabs Example 5.2 4 -100

Open Input Analyzer in Arena Folder

The application would look like this:

Go to File, New

This should happen: a file called Input1 (or Input2, or InputX)

Go to File, Data File, Use Existing

Next change the file type to txt

Next find your file

The software will automatically create a histogram

Go to Fit, select Fit All

The Input Analyzer will provide the expression for the best fit

But sometimes is better to use another distribution The most commonly used distributions for simple simulation models are Uniform Triangular Exponential Thus we can use the one (from the 3 above) with the lowest error

To view the error of all the distributions (as to select a known distribution) go to Fit All Summary

The software will show the error for all the distribution it analyzes The software will show the error for all the distribution it analyzes. In this case, out of Expo, Uniform and Triangular, the smallest error is the Triangular

So we should use the Triangular distribution So we should use the Triangular distribution. To get the parameters go to Fit, select Triangular.

Nothings shows, must click in the other Window (to make it active) Click here, in the other Window

Done Now the raw data has been characterized as a random variable. In this case a Triangular Distribution with TRIA(-0.5, 5, 12.5) Note that in this case the minimum is a negative value. Processing times or arrival times cannot be negative. Thus when implementing in Arena this needs to be modified to TRIA (0,5,12.5)