LaRue Shoe Co. produces and sells an excellent-quality walking shoe. After production, the shoes are distributed to 20 warehouses around the country. Each warehouse services approximately 100 stores in its region. LaRue uses an EOQ model to determine the number of pairs of shoes to order for each warehouse from the factory. Annual demand for Warehouse OR2 is approximately 120,000 pairs of shoes. The ordering cost is $250 per order. The annual carrying cost of a pair of shoes is $2.40 per pair.
1. Use the EOQ model to determine the optimal number of pairs of shoes per order.
2. Assume each month consists of approximately 4 weeks. If it takes 1 week to receive an order, at what point should warehouse OR2 reorder shoes?
3. Although OR2's average weekly demand is 2,500pairs of shoes
(120,000/ 12 months / 4 weeks), demand each week may vary with the following probability distribution:
Total demand for 1 week |
1,900 pairs |
1,750 pairs |
2,500 pairs |
2,700 pairs |
2,960 pairs |
Probability (sums to 1.00) |
0.03 |
0.30 |
0.34 |
0.30 |
0.03 |
If a store wants shoes and OR2 has none in stock, OR2 can "rush" them to the store at an additional cost of $3 per pair. How much safety stock should Warehouse OR2 hold? How will this affect the reorder point and reorderquantity?
The relevant total stockout and carrying costs are the________when a safety stock of________
pairs of shoes is maintained. Therefore, Warehouse OR2_______ hold that number as safety stock.
This will_____the reorder point to_______pairs of shoes. The reorder quantity will________
Part 1
EOQ = (2DP/C)^0.5
= ((2*120000*250)/2.40)^0.5 = 5000 air of shoes
Part 2
Monthly demand = annual demand / 12 = 120000/12 =10000
Weekly demand = monthly demand / 12 = 10000/4 = 2500 pairs
Purchase lead time (given) = 1 week
Reorder point = weekly demand * lead time = 2500 pairs * 1 week = 2500 pairs
Part 3
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