Answer:
The optimal production quantity is 9,322 cards.
Step-by-step explanation:
The information provided is:
Cost of the paper = $0.05 per card
Cost of printing = $0.15 per card
Selling price = $2.15 per card
Number of region (n) = 4
Mean demand = 2000
Standard deviation = 500
Compute the total cost per card as follows:
Total cost per card = Cost of the paper + Cost of printing
= $0.05 + $0.15
= $0.20
Compute the total demand as follows:
Total demand = Mean × n
= 2000 × 4
= 8000
Compute the standard deviation of total demand as follows:
![SD_{\text{total demand}}=\sqrt{500^{2}\times 4}=1000](https://tex.z-dn.net/?f=SD_%7B%5Ctext%7Btotal%20demand%7D%7D%3D%5Csqrt%7B500%5E%7B2%7D%5Ctimes%204%7D%3D1000)
Compute the profit earned per card as follows:
Profit = Selling Price - Total Cost Price
= $2.15 - $0.20
= $1.95
The loss incurred per card is:
Loss = Total Cost Price = $0.20
Compute the optimal probability as follows:
![\text{Optimal probability}=\frac{\text{Profit}}{\text{Profit+Loss}}](https://tex.z-dn.net/?f=%5Ctext%7BOptimal%20probability%7D%3D%5Cfrac%7B%5Ctext%7BProfit%7D%7D%7B%5Ctext%7BProfit%2BLoss%7D%7D)
![=\frac{1.95}{1.95+0.20}\\\\=\frac{1.95}{2.15}\\\\=0.9069767\\\\\approx 0.907](https://tex.z-dn.net/?f=%3D%5Cfrac%7B1.95%7D%7B1.95%2B0.20%7D%5C%5C%5C%5C%3D%5Cfrac%7B1.95%7D%7B2.15%7D%5C%5C%5C%5C%3D0.9069767%5C%5C%5C%5C%5Capprox%200.907)
Use Excel's NORMSINV{0.907} function to find the Z-score.
<em>z</em> = 1.322
Compute the optimal production quantity for the card as follows:
![\text{Optimal Production Quantity}=\text{Total Demand}+(z\times SD_{\text{total demand}}) \\](https://tex.z-dn.net/?f=%5Ctext%7BOptimal%20Production%20Quantity%7D%3D%5Ctext%7BTotal%20Demand%7D%2B%28z%5Ctimes%20SD_%7B%5Ctext%7Btotal%20demand%7D%7D%29%20%5C%5C)
![=8000+(1.322\times 1000)\\=8000+1322\\=9322](https://tex.z-dn.net/?f=%3D8000%2B%281.322%5Ctimes%201000%29%5C%5C%3D8000%2B1322%5C%5C%3D9322)
Thus, the optimal production quantity is 9,322 cards.