In: Operations Management
Skinner's Fish Market buys fresh Boston bluefish daily for $4.2 per kilogram and sells it for $5.7 per kilogram. At the end of each business day, any remaining bluefish is sold to a producer of cat food for $2.4 per kilogram. Daily demand can be approximated by a normal distribution with a mean of 96 kilograms and a standard deviation of 15 kilograms.
What is the optimal stocking level?
*Round your answers to 3 decimal places in your calculation if necessary.
Given
P = Price at which the fish is sold to customers /Kg = $ 5.7
C = Cost at which fish is brought from Boston bluefish / Kg = $ 4.2
S = Salvage value sold to the producer of cat food / Kg = $ 2.4
Demand is approximated by a normal distribution
mean
= 96
Standard deviation
= 15
Optimal stocking level =
+ Z
Z = norm.s.inv (Cr)
Cr = critical ratio
Cr = Cu / (Cu +Co)
Cu = cost of underage
Co = cost of overage
Cu = P - C
Cu = $ 5.7 - $ 4.2
Cu = $ 1.5
Co = C - S
Co = $4.2 - $ 2.4
Co = $ 1.8
so Critical ratio (Cr) = 1.5 / ( 1.5 + 1.8)
Cr = 1.5 / 3.3
Cr = 0.4545
We know Z = norm.s.inv(Cr)
Use excel function normsinv to find the value of Z
Z = norm.s.inv (0.4545)
Z = -0.11429
So
Optimal stocking level =
+ Z
substituting the values
Optimal stocking level = 96 + ( - 0.11429) 15
Optimal stocking level = 96 - 1.7135
Optimal stocking level = 94.28565
Optimal stocking level = 94.286 (Rounding to 3 decimal places)
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