A firm has modeled its experience with industrial accidents and found that the number of accidents per year is related to the number of employees by the regression equation Y = 6.6 + 0.098*X. R-Square is 0.72. The regression is based on 20 annual observations. The firm intends to employ 480 workers next year. How many accidents do you project? 47.04 accidents 8.66 accidents 53.64 accidents 72% of the 480 workers 28.56 accidents

A firm has modeled its experience with industrial accidents and found that the number of accidents per year is related to the number of employees by the regression equation Y = 6.6 + 0.098*X. R-Square is 0.72. The regression is based on 20 annual observations. The firm intends to employ 480 workers next year. How many accidents do you project? 47.04 accidents 8.66 accidents 53.64 accidents 72% of the 480 workers 28.56 accidents

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter10: Introduction To Simulation Modeling

Section: Chapter Questions

Problem 41P: At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 =...

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At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.
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