Daniel J Epstein Department of Industrial and Systems Engineering
ISE 580: Performance Modeling and Simulation (3 units)
Fall 2014
Syllabus
Instructor
Dr. S. Parisay
Office
location
ISE Department, GER 216C
Office phone (213) 740-0867
Office hours Tues and Wed 4:30-6:00; extended office hour through Email
Email
parisay@usc.edu
Web site
http://ise.usc.edu/directory/sima-parisay.htm
Class
sessions
Wednesday 6:30-9:10 pm, KAP 144
Prerequisite
Probability and statistics, including hypothesis testing, and introductory computer
programming
Text book
Required: Simulation Modeling & Analysis with Expertfit Software, 4th Edition,
Averill M. Law, McGraw-Hill, 2007. ISBN: 0073294411 ISBN-13
9780073294414
Required software: Arena Software can be downloaded from their web site
http://www.arenasimulation.com/
Will use software for Markov Chain and Queuing Theory.
Required: Course Handouts (Included in Course Reader, course Black Board, and
in class) by Dr. Parisay
Reference: Simulation with Arena, 6th Edition, W. David Kelton,
Randall P Sadowski, Nancy B. Zupick, McGraw-Hill, 2015, ISBN: 978-0-07340131-7
Reference: Discrete Systems Simulation, B. Khoshnevis, McGraw-Hill, Inc.,
1994 or Discrete Systems Simulation, B. Khoshnevis and K. Palmer, ISE, USC,
2013
Teaching Assistant TBA
TA Email
TA Office Hours
1
Course Objectives:
This course is an introduction to modeling and analysis of stochastic systems, with an emphasis
on analytic methods for Markovian systems and discrete-event simulation of non-Markovian
systems. This course emphasizes the development of modeling skills, analysis skills, and
communication skills. These skills lead to information mining that provides in-depth
understanding of a system and assists with a better decision making regarding system design and
operation. This course includes:
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Markovian systems, especially queuing systems
Simulation models and animation
Model verification and validation
Input modeling, statistical output analysis
Random-number generators and their impact, generating Random Variables
Statistical Design and analysis of simulation experiments
Commercial simulation software (ARENA)
Course Execution:
The course consists of:
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Midterm I will be in-class based on the schedule, closed book, and 1.5 hours in length.
Midterm II will be in-class based on the schedule, closed book, and 2.5 hours in length.
The exam consists of two sections: one section on “theory”, which is 1.5 hours in length,
and one section on “software”, which is 1 hour in length.
Final Examination will be held at the completion of all classes based on the University
schedule, closed book, and 2 hours in length.
Homework are assigned each week, randomly collected at the start of the next class
(unless otherwise indicated), graded and returned the following week. No late homework
will be accepted. HW is expected to be typed, and professionally done.
Quiz/Participation usually conducted at the beginning of each class and randomly
collected.
Project/Term paper: The project in this class is a team activity. Teams may select a
topic according to the team members’ interest. The project requires a final report and
presentation.
2
Grading Policy:
Item
Mid-Term 1
Mid-Term 2
Final Examination
Homework (3 best out of 5)
Quizzes (3 best out of 5)
Project
Total points
Points (weights)
15
25
15
10
10
25
100
Total points will be curved for the final letter grade. Letter grade with minus and plus are also
considered.
Cellular phones should be turned off in class. No texting in class.
Academic Integrity
“The Viterbi School of Engineering adheres to the University's policies and procedures
governing academic integrity as described in SCampus. Students are expected to be aware of
and to observe the academic integrity standards described in SCampus, and to expect those
standards to be enforced in this course”.
Students with Disabilities
"Any Student requesting academic accommodations based on a disability is required to register
with Disability Services and Programs (DSP) each semester. A letter of verification for
approved accommodations can be obtained from DSP. Please be sure the letter is delivered to
me (or to TA) as early in the semester as possible. DSP is located in STU 301 and is open 8:30
a.m. - 5:00 p.m., Monday through Friday. The phone number for DSP is (213)740-0776”.
3
Class Schedule
This is a tentative schedule and it is subject to change.
Week
1, Aug 27
Subject
Introduction to the course
Reading, task
Review of: Data Summary, Basic Probability and Statistics,
Probability Distributions
2, Sep 3
Review of: Goodness-of-Fit Test, Hypothesis Testing
Introduction to Input Analyzer of Arena
3, Sep 10
Markov Chain
Markov Chain
4, Sep 17
Queuing Concept
Queuing Theory
5, Sep 24
Midterm I (1.5 hour)
7, Oct 8
Introduction to simulation and Arena
Simulation Concepts and Related Modeling Features of Arena
Logical Model
Simulation Concepts and Related Modeling Features of Arena
8, Oct 15
Verification, Analysis of Statistical Output and Writing Report
Simulation Concepts and Related Modeling Features of Arena
6, Oct 1
9, Oct 22
10, Oct 29
11, Nov 5
12, Nov 12
13, Nov 19
15, Dec 3
Dec 10
Random Number and Radom Variable Generation
Simulation Concepts and Related Modeling Features of Arena
Transient and Steady State, Replications
Output Analyzer of Arena
Midterm II in two sections: theory(1.5 hour) and software(1
hour)
Simulation Concepts and Related Modeling Features of Arena
2-D Animation
Simulation Concepts and Related Modeling Features of Arena
Material Handling
Simulation Concepts and Related Modeling Features of Arena
Experimentation, Variance Reduction, Validation
Project presentation and final report
Final exam
Quiz,
Homework
Quiz,
Homework
Quiz,
Homework
Project teams
and topic
Quiz,
Homework
Quiz,
Homework
Quiz,
Homework
Initial Report
Quiz,
Homework
Quiz,
Homework
Final Report
4