3. The Dynaco Manufacturing Company produces a product in a
process consisting of operations of five machines. The probability
distribution of the number of machines that will break down in a
week follows:
Machine Breakdowns
Per Week Probability
0 0.10
1 0.20
2 0.15
3 0.30
4 0.15
5 0.10
1.00
a. Simulate the machine breakdowns per week for 20 weeks.
b. Compute the average number of machines that will break down per
week.
4. Simulate the following decision situation for 20 weeks, and
recommend the best decision.
A concessions manager at the Tech versus A&M football game must
decide whether to have the vendors sell sun visors or umbrellas.
There is a 30% chance of rain, a 15% chance of overcast skies, and
a 55% chance of sunshine, according to the weather forecast in
college junction, where the game is to be held. The manager
estimates that the following profits will result from each
decision, given each set of weather conditions:
Decision Weather Conditions
Rain 0.35 Overcast 0.25 Sunshine 0.40
Sun visors $-400 $-200 $1,500
Umbrellas 2,100 0 -800
5. Every time a machine breaks down at the Dynaco Manufacturing
Company (Problem 3), either 1, 2, or 3 hours are required to fix
it, according to the following probability distribution:
Repair Time (hr.) Probability
1 0.20
2 0.50
3 0.30
1.00
Simulate the repair time for 20 weeks and then compute the average
weekly repair time.
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