Teneika Smith
Strayer University
Professor Guo
Julia’s Food Booth Assignement #3

A. Formulate and solve an L.P. model for this case.
x1=slices of pizza
x2= Hot Dogs
x3= Barbecue Sandwiches
Maximize, Z= $0.75x1+ $1.05x2+$1.35x3
Constraints:
$0.75x1+$0.45x2+$0.90x3 < = $1500 (cost)
24x1+16x2+25x3< = 55,296 square inches (Oven Space)
***14 x 14 = 196 inches squared 196/8= 24.5. The total space available is 36 in. x 48 in. = 1,728 inches squared Then 1728 is multiplied by 16= 27,648 in2, which is multiplied by 2 totaling 55, 296 square inches***

x1-x2-x3 > = 0 (at least as many slices of pizza as hot dogs and barbecue sandwiches) x2-2x3> = 0 (at least twice as many hot dogs as barbecue sandwiches Non negative constraints
x1, x2, x3 are all > = 0

x1= $1250
x2=$1250
x3=$ 0
Julia’s profit for the first game should be $2, 250. The prices of the booth lease is $1000 per game and the oven lease is $600 for the six game season therefore the lease for the oven is $100 per game decreasing her first game profit to $1150. B. Evaluate the prospect of borrowing money before the first game. Based on the results of the linear programming model in QM the dual value is $1.50. “The dual value measures the increase in the objective function’s value per unit increase in the variable’s value” (Frontline Solvers, 2012). Borrowing money before the first game would increase Julia’s profit. The dual value is $1.50 for every additional dollar. C. Evaluate the prospect of paying a friend $100 per game to assist Julia would benefit from hiring an additional friend to assist her because having another person will allow her to make more money because she could more than likely make all the food required to reach maximum profit. D. Analyze the impact of uncertainties on the model.

There are a couple of factors that come to mind when thing about what could affect the sales. For example, the weather could create a problem for...

...A. Formulate a linear programming model for Julia that will help you to advise her if she should lease the booth.
Let, X1 =No. of pizza slices,
X2 =No. of hot dogs,
X3 = No. of barbeque sandwiches
* Objective function co-efficient:
The objective is to maximize total profit. Profit is calculated for each variable by subtracting cost from the selling price.
For Pizza slice, Cost/slice=$4.5/6=$0.75
| X1 | X2 | X3 |
SP | $1.50 | $1.60 | $2.25 |
-Cost | 0.75 | $0.50 | $1.00 |
Profit | $0.75 | $1.10 | $1.25 |
Maximize Total profit Z = $0.75X1 + 1.10X2 +1.25X3
* Constraints:
1. Budget constraint:
0.75X1+0.50X2+1.00X3<=$1500
2. Space constraint:
* Total space available=3*4*16=192 sq feet =192*12*12=27,648 in- square
The oven will be refilled during half time.
Thus, the total space available=2*27,648= 55,296 in-square
* Space required for a pizza=14*14=196 in-square
Space required for a slice of pizza=196/6=32.667in-square approximately.
Thus, space constraint can be written as:
33X1 + 16X2 +25X3 <= 55,296 (In-square Of Oven Space)
3. at least as many slices of pizza as hot dogs and barbeque sandwiches combined
X1>=X2 + X3 (at least as many slices of pizza as hot dogs and barbeque sandwiches combined)
4. at least twice as many hot dogs as barbeque sandwiches
X2/X3>= 2.0 (at least twice as many hot dogs as barbeque sandwiches)
This constraint can be rewritten as:
X2-2X3>=0
X1,...

...Running Head: JULIA’SFOODBOOTH
Assignment #3: Case Problem "Julia'sFoodBooth"
Mat540
Quantitative Methods
August 22, 2012
Julia’sFoodBooth
(A) Formulate and solve a L.P. model for this case.
Variables:
Pizza - X1 $1.33 $1.50 14 inches
Hot Dogs - X2 $0.45 $1.50 16 square inches
Barbecue - X3 $0.90 $2.25 25 square inches
Maximize Z= $0.75x1, 1.05x2, 1.35x3
Subject to:
$0.75x1 + $0.45x2 + $0.90x3 ≤ $1,500
24x1 + 16x2 + 25x3 ≤ 55,296 in2 of oven space
x1 ≥ x2 + x3 (changed to –x1 + x2 + x3 ≤ 0 for constraint)
x2/x3 ≥ 2 (changed to –x2 +2x3 ≤ 0 for constraint)
x1, x2, x3 ≥ 0
Solution: x1 = 1,250 pizza slices
x2= 1,250 hot dogs
x3= 0 barbecue sandwiches
Z= $2,250
Solution:
Variable | Status | Value |
X1 | Basic | 1250 |
X2 | Basic | 1250 |
X3 | NONBasic | 0 |
slack 1 | NONBasic | 0 |
slack 2 | Basic | 5296.0 |
slack 3 | NONBasic | 0 |
slack 4 | Basic | 1250 |
Optimal Value (Z) | | 2250 |
B) Evaluate the prospect of borrowing money before the first game.
Yes, Julia would increase her profit if she borrowed money from a friend before the first game to purchase more ingredients. Her outcome would be an increase in profit. The shadow price, or dual value, is $1.50 for each additional dollar that she earns. ...

...Julia’sFoodBooth Case Problem
Assignment 3
Max Z =Profit1x1+ Profit2x2+ Profit3x3
A - Formulation of the LP model
x1 - number of pizza slice
x2 - number of hot dogs
x3 - number of barbecue sandwiches
Constraints
Cost
Maximum fund available for food = $1500
Cost per pizza $6 ÷08 (slices) = $0.75
Cost for a hot dog = $0.45
Cost for a barbecue sandwich = $0.90
Constraint: 0.75x1+0.45x2+0.90x3 ≤1500
Oven space
Space available 16.3.4.2 = 384ft^2
384.144=55296 in ^2
Space required for pizza: 14.14 = 196 ^2 inches
Space for slice of pizza; 196 ÷8 = 24.50 in ^2
Space for hot dog: 16 in ^2
Space for barbecue = 25 in ^2
Constraint 24.50x1+16x2+25x3 ≤55296
Julia can sell at least as many slice of pizza (x1) as hot dogs (x2) and Barbecue sandwiches (x3) combined.
x1-x2-x3≥0
Julia can sell at least twice as many hot dogs as Barbecue sandwiches
+x2-2x3≥0
Non negative constraint
x1,x2,x3≥0
Objective Function
| SELL | COST | PROFIT |
Pizza slice (x1) | $1.50 | $0.75 | $0.75 |
Hot dog (x2) | $1.50 | $0.45 | $1.05 |
Barbecue Sandwich (x3) | $2.25 | $0.90 | $1.35 |
Profit = Sell - Cost
Max Z=0.75x1+1.05x2+1.35x3
LPP Model:
Maximize Z = 0.75 X1 + 1.05 X2 + 1.35 X3
Subject to 24.5 X1 + 16 X2 + 25 X3 ≤ 55296
0.75 X1 + 0.45 X2 + 0.90 X3 ≤ 1500
X1 -...

...(A) Formulate and solve an L.P. model for this case
Variable Food Cooking Area
x1 Pizza Slice 24in sq
x2 Hot Dogs 16in sq
x3 BBQ Sandwiches 25in sq
*The oven space required for a pizza slice is calculated by dividing the total area arequired for a whole pizza by the number of slices in a pizza 14 x 14 = 196 in2, by 8, or approximately 24 in2 per slice. The total space available is the dimension of a shelf, 36 in. x 48 in. = 1,728 in2, multiplied by 16 shelves, 27,648 in2, which is multiplied by 2, the times before kickoff and halftime the oven will be filled = 55,296 in2.
Maximize Z = $0.75x1 + 1.05x2 + 1.35x3
Subject to:
$.75x1 + $.45x2 + $.90x3≤1500
24x1 + 16x2 + 25x3 ≤ 55296in sq of oven space
x1 ≥ x2 + x3
x2/x3 ≥ 2
x1,x2,x3 ≥ 0
Solution:
X1 = 1250 slices of pizza
X2 = 1250 hotdogs
X3 = 0 BBQ sandwiches
Julia would profit $2250. Her lease per game for the tent is $1000.00 and $100.00 for the warming oven. This means she still clears $1150 which is more than her $1000 minimum profit to open the concession stand.
(B) Evaluate the prospect of borrowing money before the first game.
Julia should borrow money based on the given scenario. She could increase her profit if she borrows money from a friend. The shadow price, or dual value, is $1.50 for each extra dollar that she earns. The upper limit given in the model is $1,658.88. This means that she would max out her profit at $1,658.88 of spending. Since she already has $1,500...

... Together
Constraint 4 H - 2B >= 0 selling at least twice as many hot dogs as barbecue . Sandwiches
p,H,B >= 0 . si>= 0
Based on QM for windows l solution the optimum solution:
Pizza (p) = 1250; Hotdogs(H) = 1250 and Barbecue sandwiches (B) = 0
Maximum value of Z = $2250
Julia should stock 1250 slices of pizza, 1250 hot dogs and no barbecue sandwiches.
Maximum Profit = $2250.
|Maximum Profit 2250
Booth Rent per game 1000
Warming Oven 600 for total of 6 games 600/6 =100 for 1 game
2250-1000-100=1150 is the profit after paying all the expenses.
*I think she should lease the booth
B) the amount of Borrowing money that will increase her profit is defined by the upper limit value of the cost constrain. .0001=<C1<= 1638.4. this means that she can only borrow 1638.4-1500= 138.5 so she can increase her profit from 2250 to 2457 and reduce her slack values from S2 = 4671 to S2= .0019. Any money mere than that will not increase the profit bur it will cause increasing in the value of slack variables
C) I thing that hiring her friend for $100 she will still have a profit above 1000 (1150-100=1050) so she can do that.
D) One uncertainty is the weather because...

...Complete the "Julia'sFoodBooth" case problem on page 109 of the text. Address each of the issues A - D according the instructions given.
(A) Formulate and solve an L.P. model for this case.
(B) Evaluate the prospect of borrowing money before the first game.
(C) Evaluate the prospect of paying a friend $100/game to assist.
(D) Analyze the impact of uncertainties on the model.
The assignment will be graded using the associated rubric.
Outcome Assessed:
Create sensitivity analysis on linear programming model parameters
Communicate issues in Management Science
Grading Rubric for Assignment - Assignment #4 Case Problem
There are 12 points in each of the five criteria for a total of 60 points possible
Criteria 0 Unacceptable (0 points) 1 Developing (6 points) 2 Competent (9 points) 3 Exemplary (12 points)
1. Formulate an LP model for this case. (Part A). Did not submit or LP model is not sufficiently attempted and does not demonstrate a. recognizable attempt to model this case. LP model is partially correct, but has errors in the objective function or constraints. Described with 70 - 79% accuracy, clarity, and completeness. LP model has objective function and most constraints correctly specified. Described with 80 - 89% accuracy, clarity, and completeness. LP model has objective function and all constraints fully and correctly specified. Described with 90 - 100% accuracy, clarity,...

...Julia’sFoodBooth
Strayer University
Quantitative Methods – MAT 540/ Spring 2012
Dr. Buddy Bruner
May 19, 2012
A) Formulate and solve an L.P. model for this case.
[pic]
[pic]
B) Evaluate the prospect of borrowing money before the first game.
After observing the ranging chart calculations indicate that the upper bound in the budget is equal to 1638.4. The original value of the budget is 1500. If you subtract the 1500 from the 1638.4 it will leave 138.4 which indicate room for Julie to borrow. This is a good thing for Julie because for every 138.4 she borrows dual value will increase 1.5. She will also have enough funds to purchase more sandwiches. After she pays any funds back that she has borrowed then she will earn a profit of at least $69.20 which is half of the $138.40 borrowed.
C) Evaluate the prospect of paying a friend $100/game to assist.
The linear programming results show that Julie will have a profit of $2250 minus the $1000 for booth rent for the month which will leave $1150. She only wants to make a profit of $1000 therefore she has at least $150 to keep $50 to purchase more sandwiches and $100 to pay a friend. After the purchase of more sandwiches Julie made need some additional help. Therefore it will be feasible to hire a friend for extra help which could help to...