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Mpbc

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MPBC1. To help MPBC with their inventory level I chose the application of economic order quantity. The company wants to ultimately have on hand, the full order for every satellite store. If they do not have the bicycles to fulfill the order, they have to ship from another distributor because they keep no back stock. If another distributor has to be utilized than the company loses out on profit. The problem to analyze with this case study is how many bicycles need to be stored at the distribution center so that outside orders do not have to be made.
The satellite store receives their requested shipment within two days from the distribution center. However the distribution center gets shipments from overseas and these orders can take up to four weeks to arrive. 4x7 = 21 days lead time on average from overseas distributor.

The total demand per year has been taken into consideration in the use of the EOQ model. A forecast has been made as to how many bicycles the company can expect to sell in 2011. Assuming that the ordering cost, holding cost, and unit price remain unchanged, we can predict the number of orders that should be made, and how many time a year the order needs to be placed.

2. The reorder point and total costs are addressed on each year’s tab on the excel file under the cost table. Each optimal order quantity point can be found in bold type. At this point on the table, the lowest cost per order is determined. Also note the average inventory that the distribution center should keep on hand. This number determines when to reorder product, eliminating the need to order from another distributor, causing loss of profit for MPBC.

In year 2009, the optimal order quantity is 47 bikes. About 7 orders would be made per year of 47 bicycles for total cost of $953.75 per order, and $59,263.75 per year. The reorder point for this data would be when the

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