A Guided Tour Through Arena
Chapter 3
Last revision June 7, 2003
Simulation with Arena, 3rd ed.
Chapter 3 A Guided Tour Through Arena
Slide 1 of 61
What Well Do .
Start Arena Load, explore, run an existing model
Basically the same model as f
A Guided Tour Through Arena
Chapter 3
Last revision June 7, 2003
Simulation with Arena, 3rd ed.
Chapter 3 A Guided Tour Through Arena
Slide 1 of 61
What We'll Do .
Start Arena Load, explore, run an existing model
Basically the same model as
A Guided Tour Through Arena
Chapter 3
Last revision August 19, 2006
Simulation with Arena, 4th ed. Chapter 3 A Guided Tour Through Arena
Slide 1 of 69
What Well Do .
Start Arena Load, explore, run an existing model
Construct the same mo
Statistical Analysis of Output from Terminating Simulations
Chapter 6
Last revision June 8, 2003
Simulation with Arena, 3rd ed. Chapter 6 Stat. Output Analysis Terminating Simulations
Slide 1 of 29
What We'll Do .
Time frame of simulations
Chapter 7 Entity Transfer and Steady-State Statistical Analysis
What We'll Do .
Types of Entity Transfers Resource-Constrained Transfers Transporters (Model 7.1) Conveyors Statistical analysis of steady-state simulations
Non-accumulating
Chapter 11 Further Statistical Issues
What We'll Do .
Random-number generation Generating random variates Nonstationary Poisson processes Variance reduction Sequential sampling Some additional capabilities of the Output
Analyzer Designing
Input Analysis
Input Analysis: Specifying Model Parameters, Distributions
Structural modeling: what we've done so far
Logical aspects - entities, resources, paths, etc.
Quantitative modeling
Numerical, distributional specifications Like structura
MS&E 223 Simulation Peter J. Haas
Handout #3 April 5, 2006 Spring Quarter 2005-06
REFERENCES
General Concepts and Methodology
Banks, J., Ed. (1998). Handbook of Simulation. Wiley-Interscience. Banks, J., Carson, J. S., Nelson, B. N., Nicol, D. (20
Proceedings of the 2000 Winter Simulation Conference J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds.
INTRODUCTION TO SIMULATION Jerry Banks Brooks Automation, AutoSimulations Division Atlanta, GA 30067, U.S.A.
ABSTRACT This introducti
Modeling & Simulation Life Cycle
Life Cycle and Case Study
M&S Life Cycle
So far, we've focused primarily on issues concerning model execution This is only one aspect of a simulation study The M&S life cycle refers to the steps that take place du
Fundamental Simulation Concepts
Chapter 2 (Continued)
Simulation with Arena, 4th ed. Chapter 2 Fundamental Simulation Concepts
Review and Agenda
Advantage and disadvantage of simulation A Simple Processing System
Several Possible Objectives
Loren Olson
1332 N. Bronco Court, Gilbert, AZ 85233 Phone: 480-503-0474, Cell: 480-577-5678, E-mail: loren.olson@cox.net
Professional Experience
2003Lecturer - Digital Animation and Rendering Arts, Media and Engineering Program Institute for Studies
AGENDA
Generating random variates
Model translation
GENERATING RANDOM VARIATES
General Concepts and Procedures
U(0,1)
Inverse Transformation Method
Box Mueller Method
ROLE OF PROBABILITYIN SIMULATION
GENERATING RANDOM VARIABLES
Know theoretical di
Arena Basics
ISyE 6644 Seong-Hee Kim (Georgia Tech) Barry Nelson (Northwestern)
Overview
We now move to the design and analysis of dynamic systems that evolve through time. We will use Arena, from Rockwell Software, which is one of several popular
Discrete-Event Simulation: A First Course
Steve Park and Larry Leemis College of William and Mary
Technical Attractions of * Simulation
Ability to compress time, expand time Ability to control sources of variation Avoids errors in measurement