(a)
Number of orders per annum = 2
So, average batch size, Q = 30 / 2 = 15 units
Average demand during lead time, θ = 30 * (3/50) = 1.8 units (assuming one year=50 weeks)
The desired Fill rate = 98%
We know,
Expected shortage per cycle = Q x (1
- Fill rate)
or, Expected shortage per cycle = 15*(1 - 0.98) = 0.30
Now, approximate Poisson to Normal as μLTD = 1.8 units and σLTD = √1.8 = 1.34
So,
L(z) . σLTD =
0.30
or, L(z) = 0.30 / 1.34 = 0.224
Look up a normal distribution loss function table and the corresponding z will be z = 0.42
So, appropriate reorder point, r = μLTD + z.σLTD = 1.8 + 0.42*1.34 = 2.36 units i.e. approximately 3 units.
(b)
Number of orders per annum = 6
So, average batch size, Q = 30 / 6 = 5 units
Average demand during lead time, θ = 30 * (3/50) = 1.8 units (assuming one year=50 weeks)
The desired Fill rate = 98%
We know,
Expected shortage per cycle = Q x (1
- Fill rate)
or, Expected shortage per cycle = 5*(1 - 0.98) = 0.10
So,
L(z) . σLTD =
0.10
or, L(z) = 0.10 / 1.34 = 0.075
Look up a normal distribution loss function table and the corresponding z will be z = 1.05
So, appropriate reorder point, r = μLTD + z.σLTD = 1.8 + 1.05*1.34 = 3.2 units i.e. approximately 4 units.
(c)
It is infeasible to attain this discount with 2 or 6 orders in a year because the overall annual demand is 30 units and the minimum order size for this discount is 50 units.
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