Question: Q 1 ( 2 5 points ) . You work for a computer manufacturer. They tasked you to manage the inventory for a critical part

Q1(25 points). You work for a computer manufacturer. They tasked you to manage the
inventory for a critical part they procure on a regular basis. Historical data and forecasts
indicate a normal distribution for the weekly demand with a mean of 44 and variance of
122. There is a 4-week lead time for receiving this part and each part costs $22.
Accounting uses 35% interest rate for holding costs estimates a stock-out cost of $155 per
part and that each order has a fixed cost of $88 per order.
a)(15 points) Type 1 Service level-based approach: Assuming that the company
wants to use EOQ and achieve a 99% service level in meeting demand, what
would be the order quantity and the reorder point?
b)(10 points) What are the average costs related to holding, setup (ordering), and
stock outs for this inventory control policy.
HINT:
Expected Stockout Per Cycle= n(R)=\sigma dL*L(z) : note the sigma is for demand during
lead time (or lead time demand),\sigma dL =sqrt (L\sigma 2d +d2\sigma 2L)
L(z)= NORM.S.DIST(z,0)-z*(1-NORMSDIST(z)) Standardized Loss Function
Q2(25 points). For the same problem in Q1, now we want to take an optimization
approach:
a)(15 points) What are the optimal values for order quantity and the reorder point?
b)(5 points) What are the average costs related to holding, setup (ordering), and
stock outs for this inventory control policy. How does it compare to the costs
obtained in Q1.
c)(5 points) What is the cost associated with uncertainty for this inventory control
process? (Hint: identify costs without uncertainties and compare)
HINT:
n(R)=\sigma dL*L(z) : note the sigma is for demand during lead time (or lead time demand)
\sigma dL =sqrt (L\sigma 2d +d2\sigma 2L)
in Excel you can compute
F(z)= NORMSDIST(z)Cumulative Normal Distribution
L(z)= NORM.S.DIST(z,0)-z*(1-NORMSDIST(z)) Standardized Loss Function

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