NAME_Solutions_
IE 305/404: Simulation
Spring 2012 Exam 2
Instructions
Exam duration is 50 minutes, exam is open book, open notes, calculator is required.
Sufficient work must be shown to receive partial credit.
Questions 19 are each worth 11 points
Chapters 7: Random Number Generation
Chapters 8: Random Variate Generation
We next address the question of how random numbers
(or more correctly pseudorandom numbers) are
generated in the computer.
The first topic we address is how to generate
Uniform(0,
Example Problem Description:
The Candy Wrapping Line
Lab 1 Week of 1/25/2016
(This is the example we will go over in Lab 1)
Consider an automated candy line making 2 types of candies, bonbons and chocolate covered cherries.
The candies move from station t
ISE 305/404 Project 1 Arena Code Rubric
Team members _
Section 1
Does the program run? Yes No
If you increase the run time and replications, does it still run? Yes No
Do the results look reasonable? Yes No
Does the logic appear (at least on the face) reas
IE 305 Simulation
Output Analysis of a Single System Continued
Single Run Estimates For Steady State Simulations
It may be desirable to estimate performance (and assess estimate
accuracy) from one single (probably long) run of a simulation. We
have seen t
NAME_
IE 305/404 Simulation
Spring 2015 Exam 2
Instructions
Exam duration is 50 minutes, exam is open book, open notes, calculator is required.
Sufficient work must be shown to receive partial credit.
Each of the 4 questions are worth 25 points
Exam i
NAME_
IE 305/404: Simulation
Spring 2013 Exam 2b
Instructions
Exam duration is 50 minutes, exam is open book, open notes, calculator is required.
Sufficient work must be shown to receive partial credit.
There are 5 questions, each question is worth 20
NAME_
IE 305/404: Simulation
Spring 2010 Exam 2
Instructions
Exam duration is 50 minutes, exam is open book, open notes, calculator is required.
Sufficient work must be shown to receive partial credit.
Questions are each worth 25 points
If you need da
Common project report mistakes and omissions
Incomplete or missing statement of assumptions. Dont restate what is in the problem
description, state what is not there that needed to be. Support your assumptions to the
extent possible.
Do not describe your
IE 305/404: Simulation
Spring 2014 Exam 2
NAME_
Instructions
Exam duration is 50 minutes, exam is open book, open notes, calculator is allowed/required.
Sufficient work must be shown to receive partial credit.
There are 8 questions, each of which is wo
Comparison of Alternative Systems
Chapter 10:
Comparison of Multiple Alternative Systems
Our Chapter 9 output analysis problem was to:
Estimate key system performance measures of a
single system from a simulation (or several replicates).
A key ingredien
GROUP 1:
VARAD NARAYAN (van315@lehigh.edu)
PURVESH
RANA
(pbr215@lehigh.edu
CHANDAN MISHRA (chm315@lehigh.edu)
ASSIGNMENT NO 1
Q1.
The average time for the regular customers is 21.350 seconds
The average time for the premium customers is 3.8804 seconds
Q2.
Lab 3 Examples 2016
Example 1
There is a factory where two types of products are being produced. Orders arrive according to an
exponential distribution with mean of 12 days. The product type can be Type 1 with probability
0.1 and otherwise it is a Type 2.
Lab 2/4/2016
Variable has only one value throughout.
Distributions: DISC (0.75, 0, 1, 0) We use 1 because this is cumulative probability.
DISC(0.35, 1, 0.8, 1, 0, 5)
P(X=1) = 0.35
P(X=3) = 0.45
P(X=5)=0.2
Processing time: Assign processing time upfront. T
Introduction to Discrete Event Simulation
The System the thing we are simulating
The system is some sort of facility or process that we want to
learn more about, understand its behavior, and study in a scientific
fashion.
Example: Customers entering a ban
IE 305/404 2015
Lab Assignment 3
Due by Thursday Feb 12, 1:10 pm
Consider Bob Loblaws hair salon whose customers arrive one at a time with exponentially distributed
interarrival times with a mean of 20 minutes. 40% (60%) of the time, the customers hair is
Course Syllabus
ISE 305/404  SIMULATION
Spring Semester 2015
Course Description
This course presents an introduction to discrete event simulation. Discrete event
simulation is perhaps the most useful and widely used analytic tool for the study of
complex
NAME_
IE 305/404: Simulation
Spring 2009 Exam 2
Instructions
Exam duration is 50 minutes, exam is open book, open notes, calculator is required.
Sufficient work must be shown to receive partial credit.
There are 5 questions, each question is worth 20 p
ISE 305/404 Assignment 2 Addendum
Part of assignment 2 is creating logic that determines how jobs are processes so as to gain as much
profit as possible. When implementing this logic, you may not use knowledge of the exact processing
time of parts prior t
IE 305/404 2015
Lab Assignment 2
Due by Thursday Feb 5, 1:10 PM
Consider the following situation:
Two types of parts arrive to a manufacturing facility. One type of part requires a
milling operation, the other type requires a turning operation. Parts arri
ISE 305/404 Simulation 2015
Assignment 7
This assignment is to calculate some basic numbers about your model. This analysis should be
done using Excel. Where necessary, make and state assumptions.
For each of the major resources/work areas in your project
ISE 305/404 Simulation 2015
Assignment 5
Continue building your model for Project 1 (i.e. the simulation competition problem).
Add to your model the following stations:
The Washing Station
The Body work station
The Metal work Station
The Paint Station
For
ISE 305/404 Simulation 2015
Assignment 4
Carefully read the posted problem description for Project 1 (i.e. the simulation competition problem).
Build a model of the first part of the project process that includes the following stations:
A station where tr
IE 305/404 Simulation
Chapter 6: Input Analysis
Introduction to Input Analysis
When building a simulation, many input probability distributions
(and their parameters) must be determined. Common examples
include:
 The time between arrivals to the system
