Linear programming is a method for finding the optimal (best possible) solution that meets all the conditions for a problem
Linear programming is a method for finding the optimal (best possible) solution that meets all the conditions for a problem such as the following.
A factory can have no more than 200 workers on a shift, but must have at least 100 and must manufacture at least 3000 units at minimum cost. How many workers should be on a shift in order to produce the required units at minimal cost?
Let x represent the number of workers and y represent the number of units manufactured.
What does the answer in Exercise 59 mean in terms of the given problem?
Data from in Exercise 59
Of the values of x and y found in Exercise 58, which ones give the least value when substituted in the cost equation from Exercise 57?
Data from in Exercise 57
The cost per worker is $50 per day and the cost to manufacture 1 unit is $100. Write an equation in x, y, and C representing the total daily cost C.
Data from in Exercise 58
Find values of x and y for several points in or on the boundary of the shaded region. Include any “corner points,” where C is maximized or minimized.
This problem has been solved!
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