Problem 2
Stacys is a local department store. They need to determine the purchase quantity of winter jackets for the upcoming winter. The unit purchase cost is $30 per jacket and the unit selling price is $45.99 per jacket. If the jacket cannot be sold out at the end of the season, they would be salvaged at a unit price of $10.99 per jacket. The following table shows the demand for the jacket for the winter season and associated probabilities based on historical data.
What is the optimal order quantity of the jacket to maximize the expected seasonal profit? What are the expected sales & profit?
Cost of shortage Cs= Price - cost = 45.99-30 = 15.99
Cost of excess Ce = cost - salvage value = 30-10.99 = 19.01
service level = Cs / Cs+Ce = 15.99 / 15.99+19.01 = 0.4568
This service level can be achieved at D=145, or where the cumulative probabiity exceeds the service level.
Demand / Supply | 90 | 110 | 145 | 180 | 200 |
90 | 15.99x90 | 15.99x90-20x19.01 | 15.99x90-55x19.01 | 15.99x90-19.01x90 | 15.99x90-19.01x110 |
110 | 15.99x90 | 15.99x110 | 15.99x110-35x19.01 | 15.99x110-70x19.01 | 15.99x110-19.01x90 |
145 | 15.99x90 | 15.99x110 | 15.99x145 | 15.99x145-35x19.01 | 15.99x145-19.01x55 |
180 | 15.99x90 | 15.99x110 | 15.99x145 | 15.99x180 | 15.99x180-19.01x20 |
200 | 15.99x90 | 15.99x110 | 15.99x145 | 15.99x180 | 15.99x200 |
The payoff tale can be simplified as
Prob. | Profit | net profit | ||||||
Demand / Supply | 90 | 110 | 145 | 180 | 200 | |||
90 | 1439 | 1059 | 393 | -272 | -652 | 0.12 | 1967 | 236.04 |
110 | 1439 | 1759 | 1094 | 428 | 52 | 0.15 | 4772 | 715.8 |
145 | 1439 | 1759 | 2318 | 1653 | 1272 | 0.35 | 8441 | 2954.35 |
180 | 1439 | 1759 | 2318 | 2878 | 2498 | 0.2 | 10892 | 2178.4 |
200 | 1439 | 1759 | 2318 | 2878 | 3198 | 0.18 | 11592 | 2086.56 |
It can be seen that the maximum profit of 2954.35 corresponds to D=145.
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