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Question two: The following Matrix gives the number of units of three product ( \( \mathrm{M}, \mathrm{N} \) and O ), that can be processed per hour on three machines ( \( \mathrm{I}, \mathrm{II} \) and III) \[ \begin{array}{lll}\text { I } & \text { II } & \text { III }\end{array} \] \[ N\left[\begin{array}{lll}10 & 12 & 15 \\ 20 & 11 & 20 \\ 16 & 18 & 14\end{array}\right] \] Determine by using matrix algebra, how many units of each product can be produced, if the hours available on machine I, II and III are 50,40 and 42

Ask by Lambert Williams. in Tanzania
Jan 23,2025

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Tutor-Verified Answer

Answer

The production of product M is not feasible with the given machine hours. Products N and O can be produced approximately 1.86 and 3.58 units, respectively.

Solution

To solve this problem, we need to use matrix algebra to determine how many units of each product (M, N, and O) can be produced given the constraints of machine hours. ### Step 1: Define the matrices Let: - \( A \) be the matrix representing the number of units of each product that can be processed per hour on each machine. - \( x \) be the column matrix representing the number of units of each product produced. - \( b \) be the column matrix representing the available hours on each machine. The matrices are defined as follows: \[ A = \begin{bmatrix} 10 & 12 & 15 \\ 20 & 11 & 20 \\ 16 & 18 & 14 \end{bmatrix}, \quad b = \begin{bmatrix} 50 \\ 40 \\ 42 \end{bmatrix} \] ### Step 2: Set up the equation The relationship can be expressed as: \[ A \cdot x = b \] ### Step 3: Solve the system of equations We need to solve for \( x \) using the equation \( A \cdot x = b \). This can be done using matrix algebra. Let's proceed to solve the system of equations. Solve the system of equations by following steps: - step0: Solve using the substitution method: \(\left\{ \begin{array}{l}10x_{1}+12x_{2}+15x_{3}=50\\20x_{1}+11x_{2}+20x_{3}=40\\16x_{1}+18x_{2}+14x_{3}=42\end{array}\right.\) - step1: Solve the equation: \(\left\{ \begin{array}{l}x_{1}=\frac{50-12x_{2}-15x_{3}}{10}\\20x_{1}+11x_{2}+20x_{3}=40\\16x_{1}+18x_{2}+14x_{3}=42\end{array}\right.\) - step2: Substitute the value of \(x_{1}:\) \(\left\{ \begin{array}{l}20\times \frac{50-12x_{2}-15x_{3}}{10}+11x_{2}+20x_{3}=40\\16\times \frac{50-12x_{2}-15x_{3}}{10}+18x_{2}+14x_{3}=42\end{array}\right.\) - step3: Simplify: \(\left\{ \begin{array}{l}100-13x_{2}-10x_{3}=40\\\frac{8\left(50-12x_{2}-15x_{3}\right)}{5}+18x_{2}+14x_{3}=42\end{array}\right.\) - step4: Solve the equation: \(\left\{ \begin{array}{l}x_{2}=\frac{60-10x_{3}}{13}\\\frac{8\left(50-12x_{2}-15x_{3}\right)}{5}+18x_{2}+14x_{3}=42\end{array}\right.\) - step5: Substitute the value of \(x_{2}:\) \(\frac{8\left(50-12\times \frac{60-10x_{3}}{13}-15x_{3}\right)}{5}+18\times \frac{60-10x_{3}}{13}+14x_{3}=42\) - step6: Simplify: \(-\frac{8\left(14+15x_{3}\right)}{13}+\frac{18\left(60-10x_{3}\right)}{13}+14x_{3}=42\) - step7: Multiply both sides of the equation by LCD: \(\left(-\frac{8\left(14+15x_{3}\right)}{13}+\frac{18\left(60-10x_{3}\right)}{13}+14x_{3}\right)\times 13=42\times 13\) - step8: Simplify the equation: \(968-118x_{3}=546\) - step9: Move the constant to the right side: \(-118x_{3}=546-968\) - step10: Subtract the numbers: \(-118x_{3}=-422\) - step11: Change the signs: \(118x_{3}=422\) - step12: Divide both sides: \(\frac{118x_{3}}{118}=\frac{422}{118}\) - step13: Divide the numbers: \(x_{3}=\frac{211}{59}\) - step14: Substitute the value of \(x_{3}:\) \(x_{2}=\frac{60-10\times \frac{211}{59}}{13}\) - step15: Simplify: \(x_{2}=\frac{110}{59}\) - step16: Substitute the values of \(x_{2},x_{3}:\) \(x_{1}=\frac{50-12\times \frac{110}{59}-15\times \frac{211}{59}}{10}\) - step17: Simplify: \(x_{1}=-\frac{307}{118}\) - step18: Calculate: \(\left\{ \begin{array}{l}x_{1}=-\frac{307}{118}\\x_{2}=\frac{110}{59}\\x_{3}=\frac{211}{59}\end{array}\right.\) - step19: Check the solution: \(\left\{ \begin{array}{l}x_{1}=-\frac{307}{118}\\x_{2}=\frac{110}{59}\\x_{3}=\frac{211}{59}\end{array}\right.\) - step20: Rewrite: \(\left(x_{1},x_{2},x_{3}\right) = \left(-\frac{307}{118},\frac{110}{59},\frac{211}{59}\right)\) The solution to the system of equations is: \[ (x_1, x_2, x_3) = \left(-\frac{307}{118}, \frac{110}{59}, \frac{211}{59}\right) \] ### Step 4: Interpret the results - \( x_1 \) represents the number of units of product M. - \( x_2 \) represents the number of units of product N. - \( x_3 \) represents the number of units of product O. Calculating the numerical values: 1. \( x_1 = -\frac{307}{118} \approx -2.60 \) (not feasible, as production cannot be negative) 2. \( x_2 = \frac{110}{59} \approx 1.86 \) 3. \( x_3 = \frac{211}{59} \approx 3.58 \) ### Conclusion The results indicate that the production of product M is not feasible under the given constraints, while products N and O can be produced in approximately 1.86 and 3.58 units, respectively. This suggests that the available hours on the machines are insufficient to produce a non-negative quantity of product M.

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Bonus Knowledge

To find the number of units of products \( \mathrm{M}, \mathrm{N}, \) and \( \mathrm{O} \) that can be produced using matrix algebra, we can set up a system of equations based on the given matrix and the available hours for each machine. Let \( x_1, x_2, \) and \( x_3 \) be the number of units produced of products \( \mathrm{M}, \mathrm{N}, \) and \( \mathrm{O} \), respectively. We will use the matrix of processing capabilities and the hours available for each machine to create the equation: \[ \begin{bmatrix} 10 & 12 & 15 \\ 20 & 11 & 20 \\ 16 & 18 & 14 \end{bmatrix} \begin{bmatrix} x_1 \\ x_2 \\ x_3 \end{bmatrix} = \begin{bmatrix} 50 \\ 40 \\ 42 \end{bmatrix} \] By solving this matrix equation using techniques such as Gaussian elimination or using an inverse matrix, you'll find the values of \( x_1, x_2, \) and \( x_3 \). One fun historical tip: the concept of using linear algebra and matrix methods to solve real-world problems dates back to ancient civilizations! While matrices became formalized in the 19th century, similar systems can be traced back to various historical applications like resource allocation in agriculture or inventory management in trade. For practical application in today's world, businesses regularly utilize matrix algebra for resource optimization. For instance, manufacturers might use these calculations to determine how many products to produce based on limited machine time and different product line efficiencies. This not only saves time but also maximizes profit, helping to streamline operations in a fun, dynamic way!

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