In: Operations Management
PART A: Suppose that a liquor distributor has an average known weekly demand of 10000 units of 1 Liter Makers Mark Bourbon. Each bottle of Makers Mark costs the distributor $25 per bottle. Specifically for the space for this product, it costs the distributor $0.50 per bottle per week to hold in inventory. When the distributor purchases from the manufacturer, they are incurred a $2000 fixed ordering cost. Use this information to answer the following questions
a: What is the optimal order quantity that the distributor should order when they order?
b: How often should the distributor place an order for this quantity?
c: If the distributor follows this ordering policy, what is the total weekly cost of the distributor? Suppose that the distributor makes a mistake, and order 1% more than the optimal policy. What is the percentage difference in cost as a result of ordering 1% more than required?
PART B: Now suppose that the distributor is able to sell each bottle for $35 per bottle. The cost per bottle is the same, namely $25 per bottle. Assume now, however, that demand is random, and that it follows a normal distribution. Use this information to answer the questions below.
a: Assume the average weekly demand is µ = 10000. Find the optimal solution for σ = 500, σ = 1000, σ = 5000, σ = 10000.
b: Let y be the set of optimal solutions, let x be the sigmas from the previous problem. Run a linear regression to find an equation for Q = a + bσ. What are the respective values for a and b?
c: What does this tell us about the optimal ordering policy with respect to the variation in our demand data?
PLEASE SHOW ALL WORK.
ANS
Part A:
| 
 Given  | 
 Weekly Demand  | 
 d  | 
 10,000  | 
 bottles per week  | 
| 
 Cost per order  | 
 S  | 
 $2000  | 
 Per order  | 
|
| 
 Cost per bottle  | 
 C  | 
 $25  | 
 Per bottle  | 
|
| 
 Holding cost per unit per week ($)  | 
 H  | 
 $0.50  | 
 Per bottle per week  | 
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| 
 Part a.  | 
 EOQ  | 
 Q*  | 
 = √(2 x d x S/H) Q* = √(2 x 10,000 x 2000/0.50)Q* = 8944.27 Or Q* = 8945  | 
 bottles per order  | 
| 
 ANS a.  | 
 Optimal Order Quantity = 8945 units per order  | 
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 Part b.  | 
 Frequency of ordering  | 
 n  | 
 n = demand/order size n = 10000/8945 n = 1.12 orders per week  | 
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 Ans b.  | 
 Frequency of order = 1.12 orders per week  | 
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 Part c.  | 
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 Weekly inventory Cost calculation for optimal order Quantity, Q* = 8945  | 
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 Total weekly inventory Cost = Weekly ordering cost + weekly holding cost  | 
 TC = AHC + AOC TC = [Q/2 x H] + [d/Q x S]  | 
 TC1 = [8945/2 x 0.50] + [10000/8945 x 2000] TC = $2235.89 + $2236.25 TC1 = $4,472.14  | 
 Per week  | 
|
| 
 Weekly inventory Cost calculation for order Quantity, Q* = 8945 + (0.01*8945) = 9034.45  | 
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 Total weekly inventory Cost = Weekly ordering cost + weekly holding cost  | 
 TC = AHC + AOC TC = [Q/2 x H] + [d/Q x S]  | 
 TC2 = [9034.45/2 x 0.50] + [10000/9034.45 x 2000] TC = $2236.07 + $2258.61 TC2 = $4,494.38  | 
 Per week  | 
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| 
 Percentage difference in cost as a result of ordering 1% more than required optimal quantity  | 
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 Percentage Difference  | 
 % change = (TC2 – TC1) / TC2  | 
 % change = (4494.38 – 4472.14) / 4472.14 x 100 % change = 0.5%  | 
 Per week  | 
|
| 
 ANS c.  | 
 percentage difference in cost as a result of ordering 1% more than required optimal quantity = 0.5% per week  |