A manager estimates the daily output of their robot model UOR402 at one of their factories to be given by: \[ Q=3 x^{3}+x^{2} y+y^{3} \text { (units), } \] where \( x \) is the number of hours of skilled labor and \( y \) is the number of hours of unskilled labor. Currently, the factory is using 40 hours of skilled labor and 70 hours of unskilled labor. In order for the manager to maintain the current level of output of robot model UOR402, unskilled labor should be select an answer by approximately hundredth of an hour.
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To maintain the current output level of the robot model UOR402, we need to calculate the output \( Q \) based on the given labor hours and simplify that to find how unskilled labor hours (y) should be adjusted. So, substituting \( x = 40 \) and \( y = 70 \) into the equation: \[ Q = 3(40^3) + (40^2)(70) + (70^3). \] Calculating this gives us the total output. Once you have \( Q \), you can then solve for \( y \) to find how many hours of unskilled labor are needed to maintain that output level, thus allowing the manager to adjust accordingly. For an approximate answer, you can use numerical methods or differentiation if the output is to change slightly, focusing on how \( y \) influences \( Q \). Keep in mind, every hour counts when it comes to optimizing factory output! Now, let’s put on our problem-solving hats and make sure we ensure that output remains at optimal levels—because nobody likes a cranky robot!
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