In: Operations Management
McBurger, Inc., wants to redesign its kitchens to improve productivity and quality. Three designs, called designs K1, K2, and K3, are under consideration. No matter which design is used, daily production of sandwiches at a typical McBurger restaurant is for
500
sandwiches. A sandwich costs
$1.30
to produce. Non-defective sandwiches sell, on the average, for
$2.50
per sandwich. Defective sandwiches cannot be sold and are scrapped.
The goal is to choose a design that maximizes the expected profit at a typical restaurant over a 300-day period. Designs K1, K2, and K3 cost
$100,000,
$130,000,
and
$180,000,
respectively.
Under design K1, there is a .80 chance that 90 out of each 100 sandwiches are non-defective and a .20 chance that 70 out of each 100 sandwiches are non-defective. Under design K2, there is a .85 chance that 90 out of each 100 sandwiches are non-defective and a .15 chance that 75 out of each 100 sandwiches are non-defective. Under design K3, there is a .90 chance that 95 out of each 100 sandwiches are non-defective and a .10 chance that 80 out of each 100 sandwiches are non-defective.
The expected profit level of design K1 is
$nothing.
(Enter
your response as a real number rounded to two decimal
places.)
The expected profit level of design K2 is
$nothing.
(Enter
your response as a real number rounded to two decimal
places.)
The expected profit level of design K3 is
$nothing.
(Enter
your response as a real number rounded to two decimal
places.)
What is the expected profit level of the design that achieves the maximum expected 300-day profit level?
Design
▼
K1
K2
K3
achieves the maximum expected 300-day profit level, with a profit of
$nothing.
(Enter
your response as a real number rounded to two decimal
places.)
K1
Expected proportion of non-defective = 0.80 x (90/100) + 0.20 x
(70/100) = 0.86
Volume production = 500 per day x 300 days = 150,000
Profit = Selling price x Volume produced x Expected proportion of
non-defective - Variable cost x Volume produced - Fixed Cost =
$2.50 x 150,000 x 0.86 - $1.30 x 150,000 - 120,000 =
$247,500
K2
Expected proportion of non-defective = 0.85 x (90/100) + 0.15 x
(75/100) = 0.8775
Volume production = 500 per day x 300 days = 150,000
Profit = $2.50 x 150,000 x 0.8775 - $1.30 x 150,000 - 120,000 =
$254,062.50
K3
Expected proportion of non-defective = 0.90 x (95/100) + 0.10 x
(80/100) = 0.935
Volume production = 500 per day x 300 days = 150,000
Profit = $2.50 x 150,000 x 0.935 - $1.30 x 150,000 - 180,000 =
$335,625
So, by the above calculations the expected profit level of the design that achieves the maximum expected 300-day profit level is The Design K3 with $335,625 of expected profit level.
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