Linear Programming Model
Assignment 1: Week 8
Nateshia Bush
MAT540
Dr. Farshad Foroozan
August 23, 2015
Introduction:
A. You are a portfolio manager for the XYZ investment fund. The objective for the fund is to
maximize your portfolio returns from the inv
How does the science of probability affect decisions?
Every day we make decisions that consciously or not depend on probability assessments.
Whether it is deciding which way to travel to work, deciding if it is worth switching to another
insurance company
MAT540 Homework
Week 2
Page 1 of 4
MAT540
Week 2 Homework
Chapter 12
8. A local real estate investor in Orlando is considering three alternative investments: a motel,
a restaurant, or a theater. Profits from the motel or restaurant will be affected by the
MAT540 Homework
Week 3
Page 1 of 3
MAT540
Week 1 Homework
Chapter 1
2. The Retread Tire Company recaps tires. The fixed annual cost of the recapping operation is
$60,000.The variable cost of recapping a tire is $9.The company charges $25 to recap a
tire.
MAT540 Homework
Week 4
Page 1 of 4
MAT540
Week 4 Homework
Chapter 15
2. The manager of the Carpet City outlet needs to make an accurate forecast of the demand
for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from
the
Grafton Metalworks Company
Ore
1
2
3
4
5
6
A
0.19
0.43
0.17
0.2
0
0.12
Composition constraints
Impurity constraint
Decision variables
Metal (%)
B
C
0.15
0.12
0.1
0.25
0
0
0.12
0
0.24
0.1
0.18
0.16
A
B
C
D
D
Metal
Ore
1
2
3
4
5
6
Objective function
Minimiz
Math 540 Term Paper 1
Quantitative Methods MAT540
Week 10 Term Paper Show Case: Application of Quantitative Methods for the Exploration and Analysis of a
Transshipment Problem
Submitted By MariaLorelie Hall [email protected]
Submitted to
Assignment week 8
You are a portfolio manager for the XYZ investment fund. The objective for the fund is to maximize your portfolio
returns from the investments on four alternatives. The investments include (1) stocks, (2) real estate, (3) bonds,
and (4)
3300
Test 3 Practice Version
Fall 2008
Multiple Choice
Identify the choice that best completes the statement or answers the question.
1. Even if a treatment has no effect, it is still possible to obtain an extreme sample mean that is very different from
t
MAT540 QUANTITATIVE METHOS FINAL EXAM
For the following problems, use Lingo10 or QM to solve. MUST include your solution screen shots.
1.0 Given the following linear programming problem: Min Z = 2x + 8y Subject to (1) 8x + 4y i 64 (2) 2x + 4y i 32 (3) y i
Running Head: MAT540 Week 8 Assignment
1
MAT540 Week 8 Assignment
Nicole Stokes
Professor Pei-Hwa Lo
Math 540
August 23, 2014
Running Head: MAT540 Week 8 Assignment
2
Problem
You are a portfolio manager for the XYZ investment fund. The objective for the f
MAT540 Homework
Week 7
Page 1 of 5
MAT540
Week 7 Homework
Chapter 3
8. Solve the model formulated in Problem 7 for Southern Sporting Goods Company using the
computer.
a. State the optimal solution.
b. What would be the effect on the optimal solution if th
Sporting Goods
a) The linear programming problem is given by
Determine f, b so as to
Maximize Z = 12b+16f
Satisfying the constraints
3b+2f <= 500
4b+5f<=800
b, f >= 0
b)
The standard form of the above problem is given by
Maximize Z = 12b+16f+0s1+0s2
Satis
MAT540 Homework
Week 3
Page 1 of 3
MAT540
Week 3 Homework
Chapter 14
1. The Hoylake Rescue Squad receives an emergency call every 1, 2, 3, 4, 5, or 6 hours,
according to the following probability distribution. The squad is on duty 24 hours per day, 7
days
TRANSPORTATION, TRANSSHIPMENT AND ASSIGNMENT PROBLEMS TRUE/FALSE 1.0 In a transportation problem, items are allocated from sources to destinations at a maximum cost. False 2.0 The linear programming model for a transportation problem has constraints for s
Question 1
0 out of 2 points
A brand of television
has a lifetime that is
normally distributed
with a mean of 7 years
and a standard
deviation of 2.5 years.
What is the
probability that a
randomly chosen TV
will last more than 8
years? Note: Write
your an
INTEGER PROGRAMMING 1. In a mixed integer model, some solution values for decision variables are integer and others can be non-integer. True: In mixed integer model values for some decision variables must be integer and for others it can be non-integer an
Assignment #4 Helen Davenport Math 540
1. See MS Excel Spreadsheet. 2. Model was solved as follows: a. Plants were labeled 1 through 6, waste facilities labeled A through C. b. Objective function: Minimize Z = 1A(12) + 1B(15) + 1C(17) + 2A(14) + 2B(9) + 2
Question 1
0 out of 2 points
When using a linear programming model to solve the "diet" problem, the objective is
generally to maximize profit.
Answer
Selected
Answer:
Correct
Answer:
True
e
Question 2
2 out of 2 points
In formulating a typical diet proble
Afternoon Professor,
Explain the difference between the objective function and the constraints. Explain why a
constraint need not refer to all the variables.
The objective function consists of one of the keywords minimize or maximize, a name, a colon,
and
Question 1 1 out of 1 points The settlement of criminal charges by atonement was the forerunner
of our present procedures for fining criminals. Answer Selected Answer: a. True
Question 2 1 out of 1 points After a person is arrested, unless the charge agai
So far I have learned, in math 540, that excel is a very useful program when inputting the data correctly
to receive the correct outputs; I have also come to understand that it is important to work with the
program more in order to master utilizing the pr
Explain what the shadow price means in a maximization problem. Explain what this tells us from
a management perspective.
In most maximization problems, the constraints can oftentimes be understood as restrictions on
the amount of resources available; also
Introduction to Management Science, 10e (Taylor)
Chapter 4 Linear Programming: Modeling Examples
1) When formulating a linear programming problem constraint, strict inequality signs (i.e., less
than < or, greater than >) are not allowed.
Answer: TRUE
Diff
Math 540 Week 2 Discussion
In your own words, explain how to obtain the expected value of perfect information for any
payoff table, which has probabilities associated with each state of nature. Then, provide an
example, drawing from any of the payoff tabl