Qutitative Assignmente 3 Ansewre
Qutitative Assignmente 3 Ansewre
Qutitative Assignmente 3 Ansewre
Assignment 3
Instruction
Dear student, you will have to options to access and submit your assignment: either e-
learning portal or MS- office teams. You can use the students’ quick guides about these
platforms in order to understand how to use.
Personal e-mailing will not be considered
Submission date will be before and only on June 27, 2020
No extension of deadline
1. An individual investor has Birr 70,000 to divide among several investments. The alternative
investments are municipal bonds with an 8.5% return, certificates of deposits with a 10%
return, Treasury bill with a 6.5% return, and income bonds with a 13% return. The amount of
time until maturity is the same for each alternative. However, each investment alternative has
a different perceived risk to the investor; thus it is advisable to diversify. The investor wants
to know how much to invest in each alternative in order to maximize the return. The
following guidelines have been established for diversifying the investment and lessening the
risk perceived by the investor.
No more than 20% of the total investment should be in an income bonds.
The amount invested in certificates of deposit should not exceed the amount invested
in other three alternatives.
At least 30% of the investment should be in treasury bills and certificates of deposits.
The ratio of the amount invested in municipal bonds to the amount invested in
treasury bills should not exceed one to three.
The investor wants to invest the entire Birr 70,000
Required:
In linearl programming,all model parameters are assumed to be constant: but in real life situations,
the decision environment is always dynamic.
Therfore ,it is important for the management to know how profit would be affected by an
increase or decrease in the resource level,by achange in the technological process, andby
change in the cost of row material.
The main gol of the management is to know how sensitive the solution is the orginal data..
Shadow Price
Graphically, a shadow price is
determined by adding +1 to the
right hand side value in
question and then resolving for
the optimal solution in terms of
the same two binding
constraints
The shadow price for
nonbinding constraints is 0
A negative shadow price
indicates that the objective
function will not improve if the
RHS
is increases
Shadow Price
Graphically, a shadow price is determined by adding +1 to the right hand side value in
question and then resolving for the optimal solution in terms of the same two binding
constraints The shadow price for nonbinding constraints is 0 A negative shadow price
indicates that the objective function will not improve if the RHSis increases
Range of Optimality
Graphically, the limits of a range of optimality are found by changing the slope of the
objective function line within the limits of the slopes of the binding constraint lines
Slope of an objective function line, Max c
1
x
1
+c
2
x
2
, is -c
1
/c
2
, and the slope of a
constraint, a
1
x
1
+a
2
x
2
= b, is -a
1
/a
2
.
Range of Optimality
Graphically, the limits of a range of optimality are found by changing the slope of the
objective function line within the limits of the slopes of the binding constraint lines
Slope of an objective function line, Max c
1
x
1
+c
2
x
2
, is -c
1
/c
2
, and the slope of a
constraint, a
1
x
1
+a
2
x
2
= b, is -a
1
/a
2
.
Range of Optimality
Graphically, the limits of a range of optimality are found by changing the slope of the
objective function line within the limits of the slopes of the binding constraint lines
Slope of an objective function line, Max c
1
x
1
+c
2
x
2
, is -c
1
/c
2
, and the slope of a
constraint, a
1
x
1
+a
2
x
2
= b, is -a
1
/a
2
.
Range of Optimality
Graphically, the limits of a range of optimality are found by changing the slope of the
objective function line within the limits of the slopes of the binding constraint lines
Slope of an objective function line, Max c
1
x
1
+c
2
x
2
, is -c
1
/c
2
, and the slope of a
constraint, a
1
x
1
+a
2
x
2
= b, is -a
1
/a
2
.
Range of Optimality
Graphically, the limits of a range of optimality are found by changing the slope of the
objective function line within the limits of the slopes of the binding constraint lines Slope
of an objective function line, Max c1x1 + c2x2, is -c1/c2, and the slope of a constraint, a1x1
+ a2x2 = b, is -a1/a2.
Range of Feasibility
The range of feasibility for a change in the right hand side value is the range of values
forthis coefficient in which the original dual price remains constant Graphically, the range
of feasibility is determined by finding the values of a right hand side coefficient such that
the same two lines that determined the original solution continue to determine the optimal
solution for the problem.
3. An individual investor has Birr 70,000 to divide among several investments. The alternative
investments are municipal bonds with an 8.5% return, certificates of deposits with a 10%
return, Treasury bill with a 6.5% return, and income bonds with a 13% return. The amount of
time until maturity is the same for each alternative. However, each investment alternative has
a different perceived risk to the investor; thus it is advisable to diversify. The investor wants
to know how much to invest in each alternative in order to maximize the return. The
following guidelines have been established for diversifying the investment and lessening the
risk perceived by the investor.
No more than 20% of the total investment should be in an income bonds.
The amount invested in certificates of deposit should not exceed the amount invested
in other three alternatives.
At least 30% of the investment should be in treasury bills and certificates of deposits.
The ratio of the amount invested in municipal bonds to the amount invested in
treasury bills should not exceed one to three.