Date Pages Topics
Assignment Due
Notes
8/30 3 - 73 Introduction
See web site about CD
9/4 77-98
Getting Started
ProModel Demo
9/6 339-361 Distributions
& Random Numbers
Get Hand Simulation
9/11 141-151 Model Building I
Teams
9/13
Hand simulation Laboratory
Teams of two
9/18 395-434 Introduction to ProModel
Hand
Simulation
9/20 99-139 Data Collection
L3.4-1 a to e
9/25 99-139
& Analysis
L4.5-1
9/27 437-442 Use of Stat::Fit
5.14-19 and >
What if a = .25? .01?
10/2 151-170 Model Building II
L5.5-2, L5.5-3 > Comment on WHY.
10/4 445-465 Model
10/11 445-465 Concepts
6.7-23 >
Look at -22 also.
10/16 173-190 Verification
L6.11-1, L6.11-2 > Compare answers.
10/18 471-478 &
Validation
10/23
Mid-term Exam
10/25 193-218 Simulation
10/30 193-218 Output
11/1 479-486
Analysis
11/6 221-249 Comparing
L8.4-3
11/8 489-492
Systems
11/13 251-272 Optimization
L9.2-1
11/15 495-514 Simrunner
11/20 515-546 Intermediate Modeling
L10.4-1
11/27 275-296 Manufacturing Systems
11/29 299-320 Material Handling Systems
12/4 549-563 Material Handling Systems
12/6 569-597 Additional Modeling Concepts
L11.13-2
12/11
Review
L11.13-3
Pick-up take home
12/14
Take home portion due at 2:00 p.m.
12/14 9
a.m.
In-class portion of final
GRADING
Grading will be 90-80-70-60 out of 260 possible points. 14 assignments
at 5 points each, mid-term at 50 points, take home portion of the final
at 40, and the in-class portion at 30. Some leeway for the bujective
nature of partial credit may loosen, never tighten, this grading scale.
GENERAL
The above schedule and procedures are subject to change in the event
of extenuating circumstances. Any student with difficulty in meeting
the requirements should contact the instructor as soon as possible for
an attempt to resolve the difficulty. This especially includes any
scheduled absences due to interviews or plant trips (not senior project).
The student is expected to have met the published pre-requisites for this
course. Any student who has not met these should immediately contact
their academic advisor.
GOALS
The major goal of this course is to introduce the student to techniques
of discrete event simulation including both modeling aspects and the statistical
analysis and design of such problems. Secondary goals are usage of
experimental design, system abstraction, and presentation techniques including
an introduction to animation using an advanced graphical simulator.
* During virtual office hours, I will be on-line in the IME301-4 chat
room, but I will have Yahoo(R) Messenger active - denniskroll is my login.
I will also check e-mail at dek@bradley.edu.