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Answers to questions related to linear programming, computer solution, and sensitivity analysis. It includes a sensitivity report and graphical solutions to various problems. the concepts of reduced cost, shadow price, and dual price. It also covers the sensitivity range for objective function coefficients and constraint quantity values. The problems discussed in the document involve maximizing profit by producing different products subject to constraints on resources and storage space.
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variable is 0. Answer: TRUE
of the objective function will be adjusted by the sum of the constraints' prices.
Answer: FALSE
variables will always be integer and therefore decision variable values never need to be
rounded.
Answer: FALSE
constraints. Answer: FALSE
optimal solution. Answer: TRUE
which the current optimal solution point (product mix) will remain optimal.
Answer: TRUE
over which the profit does not change.
Answer: FALSE
price is valid. Answer: TRUE
constraint quantity, the shadow price will change.
Answer: TRUE
optimal values of the decision variables do not change.
Answer: FALSE
period. Answer: FALSE
to constraints. Answer: FALSE
value of the optimal solution.
Answer: FALSE
the same thing. Answer: TRUE
Consider the following linear program, which maximizes profit for two products, regular (R), and super
s.t.
1.2R + 1.6 S ≤ 600 assembly (hours) 0.8R
.16R + 0.4 S ≤ 100 inspection (hours)
Sensitivity Report:
Cell Name
Fina
l
Valu
e
Reduce
d
Cost
Objectiv
e
Coefficie
nt
Allowab
le
Increas
e
Allowab
le
Decreas
e
$B$7 Regular
$C$7 Super = 133.33 0.
Cel
l
Name
Fina
l
Valu
e
Shado
w
Price
Constraint
R.H. Side
Allowab
le
Increas
e
Allowab
le
Decreas
e
Assembly (hr/unit) 563.33 0.00 600 1E+30 36.
Paint (hr/unit) 300.00 33.33 300 39.29 175
Inspect (hr/unit) 100.00 145.83 100 12.94 40
, and the optimal number
Tracksaws, Inc. makes tractors and lawn mowers. The firm makes a profit of $30 on each tractor
and $30 on each lawn mower, and they sell all they can produce. The time requirements in the
machine shop, fabrication, and tractor assembly are given in the table.
Formulation:
Let x = number of tractors produced per period
y = number of lawn mowers produced per period MAX 30x +
30y
subject to 2 x + y ≤ 60
2 x + 3y ≤ 120
x ≤ 45
The graphical solution is shown below.
much profit will they make?
Answer: 15 tractors and 30 saws for $1,350 in profit
for tractors. Answer: 20 ≤ x ≤ 60
s.t.
The sensitivity report is given below
profit? Answer: $
produce to maximize daily profit?
Answer: 90 cases of regular and 75 cases of diet
diet soft drink? Answer: 1.8 ≤ c 2
time? Answer: 270 ≤ b
1
soft drinks to 990 lbs. will the current product mix change? If show what is the impact on
profit? Answer: Yes., Increase in profit = 0.57(990 - 675) = $
Answer: the range is from $250 to infinity
medium shelf to $200, would the company purchase medium
shelves. If so, what would be the new product mix and the total
profit?
Answer: yes, Big = 90, Medium = 100 Z = $47,
The linear programming problem whose output follows is used to determine how many bottles of fire
red nail polish (x 1
), bright red nail polish (x 2
), basil green nail polish(x 3
), and basic pink nail
polish(x 4
) a beauty salon should stock. The objective function measures profit; it is assumed that
every piece stocked will be sold. Constraint 1 measures display space in units, constraint 2 measures
time to set up the display in minutes. Note that green nail polish does not require any time to prepare
its display. Constraints 3 and 4 are marketing restrictions. Constraint 3 indicates that the maximum
demand for fire red and green polish is 25 bottles, while constraint 4 specifies that the minimum
demand for bright red, green and pink nail polish bottles combined is at least 50 bottles.
MAX 100x 1
2
3
4
Subject to 1. x 1
2x 2
2x 3
2x 4
3x
1
2
4
x 3
x 4 ≥
50 x 1
x 2
, x 3
, x 4 ≥
Optimal Solution:
Objective Function Value = 7475.
b) By how much can the amount of space decrease before there is a change in the product mix?
c) By how much can the amount of time available to setup the display can increase
before the solution (product mix) would change?
d) What is the lowest value for the amount of time available to setup the display
before the solution (product mix) would change?
Answer: a) 0 b) 8 c) 0 d) 57
total price is $1500. What should you do? Why?
Answer: reject the offer, (11 x 15) = 1125 < 1500
Subject to: 6x 1
15x 1
x 1
Determine the sensitivity range for each constraint.
Answer: constraint 1: 6 - 24
constraint 2:45 - 180
Subject to: 6x 1
2 ≤
15x1 + 20x ≤
x 1
Determine the sensitivity range for each objective function coefficient.
Answer:
x 1
: 2.25 - 9.0 and, x 2
Subject to: 10x 1
25x 1
x 1
, x 2
Determine the sensitivity range for each objective function coefficient.
Answer:
A) the same product mix, different total profit
B) a different product mix, same total profit as before
C) the same product mix, same total profit
D) a different product mix, different
total profit Answer: D
The production manager for Beer etc. produces 2 kinds of beer: light (L) and dark (D). Two
resources used to produce beer are malt and wheat. He can obtain at most 4800 oz of malt per week
and at most 3200 oz of wheat per week respectively. Each bottle of light beer requires 12 oz of malt
and 4 oz of wheat, while a bottle of dark beer uses 8 oz of malt and 8 oz of wheat. Profits for light
beer are $2 per bottle, and profits for dark beer are $1 per bottle.
bottles of dark beer, it will result in slack of
A) malt only
B) wheat only
C) both malt and wheat
D) neither malt nor
wheat Answer: A
A) 0 L and 0 D
B) 0 L and 400 D
C) 200 L and 300 D
D) 400 L and
400 D Answer:
What is the optimal weekly profit?
Answer: C
Mallory Furniture buys 2 products for resale: big shelves (B) and medium shelves (M). Each big shelf
costs $500 and requires 100 cubic feet of storage space, and each medium shelf costs $300 and
requires 90 cubic feet of storage space. The company has $75000 to invest in shelves this week, and
the warehouse has 18000 cubic feet available for storage. Profit for each big shelf is
$300 and for each medium shelf is $150.
A) 0 big shelves and 200 medium shelves
B) 0 big shelves and 0 medium shelves
C) 150 big shelves and 0 medium shelves