novo MCAFee YouTube Gmail Maps Cart - Cracker Barrel \[ z=f(x, y)=14500 x+3000 y+5 x^{2} y-7 x^{3} \] Where: \( z= \) the weekly \( \# \) of pounds of acetate fiber \( x= \) the \# of skilled workers at the plant \( y= \) the \# of unskilled workers at the plant Determine the following: A) The weekly number of pounds of fiber that can be produced with 13 skilled workers and 32 unskilled workers. Answer \( =29616 \) \( \square \) pounds B) Find an expression \( \left(f_{x}\right) \) for the rate of change of output with respect to the number of skilled workers. \[ \text { Answer }=f_{x}=14500+10 x y-21 x^{2} \] C) Find an expression \( \left(f_{y}\right) \) for the rate of change of output with respect to the number of unskilled workers. \[ \text { Answer }=f_{y}=3000+5 x^{2} \] D) Find the rate of change of output with respect to skilled workers when 13 skilled workers and 32 unskilled workers are employed. (Your answer will be a number.) Answer = \( \square \) 15111 weekly pounds per skilled worker E) Find the rate of change of output with respect to unskilled workers when 13 skilled workers and 32 unskilled workers are employed. (Your answer will be a number.) Answer = \( \square \) weekly pounds per unskilled worker
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The complex interplay of skilled and unskilled labor in the production of acetate fiber highlights the significant role that different skill levels play in manufacturing. Historically, plants have evolved from relying solely on unskilled labor to integrating skilled workers, leading to increased efficiency and output. This trend reflects broader industrial changes, where specialized roles have increasingly become essential to meet the demands of modern production techniques. Practical application of this mathematical model can be seen in real-world scenarios such as workforce planning and optimization in manufacturing sectors. By identifying the impact skilled and unskilled labor have on production output, managers can make data-driven decisions about hiring, training, and allocating resources. By optimizing their labor mix, they can elevate productivity, enhance morale, and ultimately meet their production goals more effectively.