A retail store stocks two types of customized travel bags, A and B. The store can sell a maximum of 400 type of A bags and a maximum if 300 type B bags per week. However, the store can only store up to 600 bags of both types because of limited storage capacity. The store earnd the profit of 30 per type A bag and a profit of 50 per type B bag. How many of each type of bags should the store keep per week to maximize the profit?
"\\displaystyle \\text{Let $x_1$ represent bag of type a and $x_2$ represent bag of type b}\\\\ \\text{The linear program in the given problem is }\\\\ Maximize: 30x_1 +50x_2\\\\ \\text{Subject to: } 400x_1 +300x_2\\leq 600\\\\\\ \\text{The linear program in its standard form is }\\\\ Maximize: 30x_1 +50x_2+0x_3\\\\ \\text{Subject to: } 400x_1 +300x_2 +x_3 = 600\\\\ \\text{Next we form our first Tableau from our linear program}\\\\ \\begin{matrix} & & x_1 & x_2 & x_3 \\\\ & & 30 & 50 & 0 \\\\\\hline x_3 & 400 & 300& 1 & 600 \\\\\\hline & & -30 & -50 & 0 & 0 \\\\ \\end{matrix}\\\\ \\text{Next, we locate the most negative number in the bottom row(-7), and label the column}\\\\ \\text{where it is found the work column , we then form positive ratios by dividing the elements}\\\\ \\text{in the work column by corresponding elements in the last column. Next we label the }\\\\ \\text{the smallest positive ratio, the pivot element. Using elementary row operations we }\\\\ \\text{reduce the pivot element to 1 and other elements in the work column to 0 to obtain}\\\\ \\text{our tableau 2}\\\\ \\begin{matrix} & & x_1 & x_2 & x_3 \\\\ & & 30 & 50 & 0 \\\\\\hline x_2 & 50 & \\frac{4}{3} & 1 & 1 & 600 \\\\\\hline && \\frac{110}{3} & 0 &0 &30000\\\\ \\end{matrix}\\\\ \\text{Therefore 50 of $x_2$ should be produced}"
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