Catalog Description: Study of probabilistic models to analyze and predict systems performance. Topics include system simulation design, collection and analysis of simulation input data, analysis of simulation output data, and the design and development of simulation models.

Prerequisite: ISE 302

Objectives:

v Fundamental concepts system definition and design for simulation;

v Fundamental concepts of simulation, Monte Carlo and discrete-event;

v Fundamental concepts of simulation modeling and analysis; and

v In-depth knowledge of Arena simulation modeling package.

Instructors: Dr. Xinhui Zhang, Room 234 Russ Eng., 775-5151, xinhui.zhang@wright.edu

Textbook: Sadowski, Kelton and Sturrock, Simulation with Arena, 4^th Edition

References: J. Banks, J.S. Carson & B.L. Nelson, Discrete-Event System Simulation, Prentice Hall, any edition

A. Law and W. D. Kelton, Simulation Modeling and Analysis, McGraw Hill, any editions (note, 4^th edition excludes Kelton)

Late Assignments: Late assignments will only be accepted if arrangements are made prior to the due date or if a valid emergency exists. In all cases, late assignments are penalized. Unless otherwise noted, all homework is due at 4:00pm on the day due (start of class typically).

Honesty & Integrity: Students are expected be aware of and to adhere to the university standards of academic honesty found under academic information in the WSU student handbook, http://www.wright.edu/students/judicial/stu_integrity.html.

Students may discuss homework assignments with others but, with the exception of explicit group assignments, are expected to complete and turn in their own work. Copying or sharing of work (including computer files) is prohibited, except as explicitly authorized by the instructors. Use of works from past offerings of this class are prohibited.

Tentative Course Outline:

Sequence	Topic	Notes File	Notes
1	Introduction by Examples	Notes 1
2	Probability Review	Notes 2	Appendix C & D
3	Fundamental Simulation Concepts	Notes 3	Chapter 1 & 2 Shannon Paper
4	Queuing Modeling	Notes 4
5	Introduction to Arena (lab)	Notes 5	Chapter 3
6	ASAM Re-work model (lab)
7	Arena Chapter 4	Notes 6	Chapter 4
8	(continued)
9	Mid-Term Exam
10	Arena Chapter 5	Notes 7	Chapter 5
11	Arena Chapter 5
12	Arena Chapter 6	Notes 8	Chapter 6 & 12
13	Arena Chapter 7	Notes 9	Chapter 7
14	Arena Chapter 8	Notes 10	Chapter 8
15	Verification & Validation	Notes 11	Balci paper Robinson paper
16	Conducting simulation studies and designing simulation experiments		Chapter 13 Sadowski & Grabau Barton Paper Kelton Paper
17	Arena Chapter 9		Chapter 9
18	TBD
19	Project presentations
20	Project presentations
21	Final Exam	In-class	Comprehensive

Homework assignments, paper assignments, and any additional notes will be provided in separate handouts.