Preparing the payoff table.
We are showing the demand row wise. Supply column wise. If Demand > Supply, we don’t have to lose anything. But if Supply > Demand, the extra supplies will be scrap.
Here selling price = $90
Buying Price = $40
Purchase of 100 units = $4000
Purchase of 110 units = $4400
Purchase of 120 units = $4800
Selling 100 units = $9000
Selling 110 units = $9900
Selling 120 units = $10800
When Demand is 100, Supply is 100. We have no scrap and no less supply. Hence the profit = Selling – profit = $5000
But if demand is 100 and supply is 120, we have 20 extra units which will be scrap. Profit = selling of 100 – purchase of 120 = 9000 – 4800 = $4200
Similarly filling the payoff table:
Payoff Table:
Daily Supply |
||||
Daily Demand |
Probability |
100 |
110 |
120 |
100 |
0.3 |
$5000 |
$4600 |
$4200 |
110 |
0.5 |
$5000 |
$5500 |
$5100 |
120 |
0.2 |
$5000 |
$5500 |
$6000 |
The expected demand on basis of probability is:
100*0.3 + 110*0.5 + 120*0.2 = 30 + 55 + 24 = 109
Hence number of quantities that should be ordered is: 110
IF YOU LIKE THE ANSWER, PLEASE GIVE AN UP-VOTE OR THUMB UP. THIS WILL ENCOURAGE ME TO ANSWER MORE!!
Section B: Long Questions (SK2. AR1:20 marks B1: Orders for clothing from Flowers manufacturer for this...
B1: orders for clothing from flowers manufacturing for this year’s National days season must be placed in august the cost per national days dress is $40 while the anticipated selling price is 90$ demand is projected to be 100,110 or 120 units. There is a 30 percent chance that demand will be 100 units , a 50 percent chance that demand will be 110 units , and a 20 percent chance that demand will be 120 units. The company believes...
3.3) Orders for jeans from a particular manufacturer for this year's Christmas shopping season must be placed in June. The cost per unit for a particular dress is $20 while the selling price is $60. Projected demand is 50, 60, or 70 units. There is a 40 percent chance that demand will be 50 units, a 50 percent chance that demand will be 60 units, and a 10 percent chance that demand will be 70 units. The company believes that...