specialty toys inc. sells a variety of new and innovative cildren’s
toys. Management learned that thr preholiday season is the best
time to introduce a new toy, because many families use this time to
look for new ideas for December holiday gift. When Specialty
discovers a new toy wit good market potential , it chooses an
October market entry date.
In order to get toys in its store by October, Specialty places
one-time ordes with its manufactures in June or July of each year.
Demand for children’s toys can be highlty voltile. If a new toy
catches on, a sense of shortage in the marketplace often increases
the volatile. If a new. toy catches on, a sense of shortage in the
marketplace often increases the demand to high levels and large
profits can be realized. However, new toys can also flop, leaving
Specialty stuck with high levels of inventory that must be sold at
reduced prices. The most important question the company faces is
deciding how many units of a new toy should be purchased to meet
anticipated sales demand. If too few are purchased, sales will be
lost; if too many are purchased, profits will be reduces of low
prices realized in clearence sales.
For the coming season, Specialty plans to introduce a new
product called Weather Teddy. This variation of a talking Teddy
bear is made by a company in Taiwan. When a child presses Teddy’s
hand, the bear begains to talk. a built-in barometer selects one of
five responses that predict the weathe rconditions. The response
range from “ It looks to be a very nice day! Have fun” to “ I think
it may rain today, Don’t forget your umbrela.” Test with the
product show that, even though it is not a perfect weather
predictor, its predictions are surprisingly good. Several of
Specialty ‘s managers claimed Teddy gave predictions of the weather
that were good as many local television weather forecasters.
As with other products , Specialty faces the decision of how
many Weather Teddy units to order for the coming holiday season.
Memeber of the managment team suggested order quanities of 15,000,
18,000, 24,000, or 28,000 units. Yhe wide range of order quanities
suggested indicates considerable disagreement concerning the
marlket potential. The product management team asks you for an
analysis of the stock-out probabilities for various order
quantities, for an estimate of the profit potential, and for help
with making an order quantity recommendation. Specialty expects to
sell Weather Teddy for $24 based on a cost of $16 per unit. If
inventory remains after the holiday season, Specialty will sell all
surplus inventory for $5 per unit. After reviewing the sales
history of similar products, Specialty’s senior sales forcaster
predicted an expected demand of 20,000 units with a .95 probability
that demand would be between 10,000 units and 30,000 units.
MANAGERIAL REPORT.
prepare a managerial report that address the following issues
and recommends an order quantity for the Weather Teddy
product.
1. Use the sales forcaster’s prediction to describe a normal
probability distribution that can be used to approximate the demand
distribution. Sketch the distribution and show its mean and
standard deviation.
2. Compute the probability of a stock-out for the order
quantities suggested by members of the management team.
3. Compute the projected profit for the order quantutues
suggested by the management team under three scenarios: worst case
in which sales = 10,000units, most likely case in which sales
=20,000 units and best case in which sales = 30,000 units.
4. One of Specialty’s managers felt that the profit potential
was so great that the order quantity should have a 70% chance of
meeting demand and only a 30% chance of any stock- out. What
quantity would be orderd under this policy, and what is the
projected profit under the three sales scenarios?
5.. Provide your own recommendation for an order quantity and
note the associated profit projections. Provide a rationale for
your recommendation.