3 Questions_REDO***Quantitative Methods**Advanced Statistics

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redo_3_questions.xlsx

#4

Mild Winter (.28) EMV for alternative
Demand 400 400 400
245 $2,987.50 $2,987.50 $2,987.50 $2,987.50
305 $3,985.00 $3,985.00 $3,985.00 $3,985.00
355 $4,982.50 $4,982.50 $4,982.50 $4,982.50
Probability 0.55 0.33 0.12
Harsh Winter (.72) EMV for alternative
Demand 1600 2600 3100
1450 $21,925.00 $16,925.00 $14,925.00 $17,125.00
2550 $37,375.00 $36,875.00 $34,875.00 $36,175.00
3100 $44,850.00 $44,850.00 $44,850.00 $44,850.00
Probability 0.2 0.45 0.35
Mild Winter Harsh Winter
No. of shovels Probability No. of shovels Probability
245 0.55 1450 0.2
305 0.33 2550 0.45
355 0.12 3100 0.35
TreePlan Trial Version TreePlan.com
1450 shovels
$17,125.00
0.2 17125
Harsh Winter 2550 shovels
3 $36,175.00
0.72 44850 0.45 36175
3100 shovels
$44,850.00
35 44850
1
44850
245 shovels
$2,987.50
0.55 2987.5
Mild Winter 305 shovels
3 $3,985.00
0.28 4982.5 0.33 3985
355 shovels
$4,982.50
0.12 4982.5 For Evaluation Only
ID Name Value Prob Pred Kind NS S1 S2 S3 S4 S5 Row Col Mark
0 TreePlan 0 0 0 D 2 4 5 0 0 0 14 1 TRUE
1 0 4 T 0 0 0 0 0 0 2 9 TRUE
2 0 4 T 0 0 0 0 0 0 7 9 TRUE
3 0 4 T 0 0 0 0 0 0 12 9 TRUE
4 0 0 D 3 1 2 3 0 0 7 5 TRUE
5 0 0 D 3 6 7 8 0 0 22 5 TRUE
6 0 5 T 0 0 0 0 0 0 17 9 TRUE
7 0 5 T 0 0 0 0 0 0 22 9 TRUE
8 0 5 T 0 0 0 0 0 0 27 9 TRUE

#4 Midwestern Hardware must decide how many snow shovels to order for the coming snow season. Each shovel costs $14.00 and is sold for $29.95. No inventory is carried from one snow season to the next. Shovels unsold after February are sold at a discount price of $9.00. Past data indicate that sales are highly dependent on the severity of the winter season. Past seasons have been classified as mild or harsh, and the following distribution of regular price demand has been tabulated: Shovels must be ordered from the manufacturer in lots of 250. Construct a decision tree to illustrate the components of the decision model, and find the optimal quantity for Midwestern to order if the forecast calls for a 72% chance of a harsh winter. [Hint: Develop an Order-Demand matrix showing the profit on each order-demand combination. Because Decision Tree is limited to 5 initial branches, use order sizes of 500, 1500, 2500, 2750, and 3000.]

In this case during a Harsh winter it is best to buy 3100 shovels to yield maximum profit and in the case of a Mild winter there is no other alternate option but to buy 400 shovels.

#6

Department Investment/Sf Risk as a % of $ invested Minimum SF Maximum SF Expected Profit per Sf
Electronics $ 100.00 24% 6000 30000 $ 12.00
Furniture $ 50.00 12% 10000 30000 $ 6.00
Clothing-Men $ 30.00 50% 2000 5000 $ 2.00
Clothing - Women $ 600.00 10% 3000 40000 $ 30.00
Jewelry $ 900.00 14% 1000 10000 $ 20.00
Books $ 50.00 2% 1000 50000 $ 1.00
Appliances $ 400.00 3% 12000 40000 $ 13.00
Objective
Profit: 25
Decision Variables % Risk
Electronics 3.5280859037 24% 0.8467406169
Furniture 3.9524198477 12% 0.4742903817
Clothing-Men 1.0379528062 50% 0.5189764031
Clothing - Women 4.0231421585 10% 0.4023142159
Jewelry 3.8816975105 14% 0.5434376515
Books 4.3060314677 2% 0.0861206294
Appliances 4.2706703057 3% 0.1281201092
Constraints formula constraint value
Investment 25 25
Risk 3.0000000075 3
Square feet 25 125000
Trivial 1 3.5280859037 0
Trivial 2 3.9524198477 0
Trivial 3 1.0379528062 0
Trivial 4 4.0231421585 0
Trivial 5 3.8816975105 0
Trivial 6 4.3060314677 0
Trivial 7 4.2706703057 0

#6 A department store chain is planning to open a new store. It needs to decide how to allocate the 125,000 square feet if available floor space among seven departments. Data on expected performance of each department per month, in terms if square feet (sf), are shown in the table. The company has gathered $25 million to invest in floor stock. The risk column is a measure of risk associated with investment in floor stock based on past data from other stores and accounts for outdated inventory, pilferage, breakage, etc. For instance, electronics loses 24% of its total investment; furniture loses 12% of its total investment, etc. The maximum total risk can be no greated than 12% of the actual investment. a. Develop a linear optimization model to maximize profit. b. If the chain obtains another $2.5 million of investment capital for stock, what would the new solution be?

#7

Downtown magazine ad FM radio spot Hometown paper online ad Local TV ad MetroWeekly ad Neighborhood paper ad Social Media ad Theater Journal website ad
# of ads 15 30 10 4 24 10 20 12 Media Price Local exposure National exposure Limit
Spend per ad 55 80 410 500 225 300 175 350 Downtown magazine ad $55.00 35 0 15
FM radio spot $80.00 110 40 30
Minimize the spend $25.425 Hometown paper online ad $410.00 400 70 10
Local TV ad $500.00 350 15 24
Local exposure 35 110 400 350 65 175 20 10 MetroWeekly ad $225.00 65 8 24
National exposure 0 40 70 15 8 40 95 75 Neighborhood paper ad $300.00 175 40 10
Limit 15 30 10 24 24 10 20 12 Social Media ad $175.00 20 95 20
Theater Journal website ad $350.00 10 75 12
Subject to constraints
Advertising budget $ 35,000.00
National Exposure 5352 >= 4500 Exposure Target 4500
# of total ads 125 = 125 Total ad limit 125
Total budget 25425 <= 35000
Exposure Limits 15 <= 15 Downtown magazine ad
Exposure Limits 30 <= 30 FM radio spot
Exposure Limits 10 <= 10 Hometown paper online ad
Exposure Limits 4 <= 24 Local TV ad
Exposure Limits 24 <= 24 MetroWeekly ad
Exposure Limits 10 <= 10 Neighborhood paper ad
Exposure Limits 20 <= 20 Social Media ad
Exposure Limits 12 <= 12 Theater Journal website ad

#7 Sue Strand manages a professional theater group in a major city. Her marketing plan is focused on generating additional local demand for plays and increasing ticket revenue, and also gaining attention to the national level to build awareness of the theater group across the country. She has $35,000 to spend on media advertising. The goal of the advertisement campaign is to generate as much local recognition as possible while reaching at least 4,500 units national exposure. She has set a limit of 125 total ads. Additional information shown in the table to the right. The last column sets limits on the number if ads to ensure that the advertising markets do not become saturated. a. Find the optimal number of ads of each type to run to meet the choir’s goals by developing and solving an integer optimization model. b. What if she decides to use no more than six different types of ads? Modify the model in part (a) to answer this question.