Excel QM Problem _ Martin-Pullin Bicycle Corp. (MPBC)

Martin-Pullin Bicycle Corp.
(MPBC), located in Dallas, is a wholesale distributor of bicycles and bicycle parts. Formed in 1981 by cousins Ray Martin and Jim Pullin,
the firm’s primary retail outlets are located within a 400-mile radius of the distribution
center. These retail outlets receive the
order from Martin-Pullin within two days after notifying the distribution center,
provided that the stock is available. However,
if an order is not fulfilled by the company, no backorder is placed; the retailers
arrange to get their shipment from other distributors, and MPBC loses that amount
of business.

The company distributes
a wide variety of bicycles. The most popular
model, and the major source of revenue to the company, is the AirWing. MPBC receives all the models from a single manufacturer
overseas, and shipment takes as long as four weeks from the time an order is placed. With the cost of communication, paperwork, and
customs clearance included, MPBC estimates that each time an order is placed, it
incurs a cost of $85. The purchase price
paid by MPBC, per bicycle, is roughly 60% of the suggested retail price for all
the styles available, and the inventory carrying cost is 2% per month (24% per year)
of the purchase price paid by MPBC. The retail
price (paid by the customers) for the AirWing is $210 per bicycle.

MPBC is interested in making
an inventory plan for 2015. The firm wants
to maintain a 95% service level with its customers to minimize the losses on the
lost orders. The data collected for the past
two years are summarized in the table below.
A forecast for AirWing model sales in the upcoming year, 2014 has been developed
and will be used to make an inventory plan for MPBC.

Discussion Questions
1.
Develop an inventory plan to help MPBC.
2.
Discuss ROPs and total costs.
3.
How do you handle the fact that the
Reorder Point is larger than the EOQ?
4.
How can you address demand that is
not at the level of the planning horizon?

Demand for AirWing Model
Month 2012 2013
Forecast for2014
January 6
7
8
February 12 14
15
March 24 27
31
April 46 53
59
May 75 86
97
June 47 54
60
July 30 34
39
August 18 21
24
September 13 15
16
October 12 13
15
November 22 25
28
December 38 42
47
Total 343 391 439