b. The mwanunchi manufacture company has two plants \( P_{1} \) and \( P_{2} \) which produces three types of product namely \( A, B \) and \( C \), the first plant can manuffucture one unit of \( A \), four units of \( B \) and four units of \( C \) at the cost of 400 /=per hour, the second plant can manufateture three units of A, five units of B and one unit of c at the cost of \( 600 /= \) per hour the company have received an order of 80 units of \( A, 230 \) units of B and 110 units of C. how many hours should be allowed to each plant in order to satisfy the order at the least cost?
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Bonus Knowledge
To solve this problem, you can use a linear programming approach. First, define your variables: let \( x \) be the hours allocated to Plant \( P_1 \) and \( y \) be the hours allocated to Plant \( P_2 \). You then set up your constraints based on production capabilities. 1. For Product \( A \): \[ x + 3y \geq 80 \] 2. For Product \( B \): \[ 4x + 5y \geq 230 \] 3. For Product \( C \): \[ 4x + y \geq 110 \] Next, you need to create an objective function to minimize the total cost: \[ \text{Cost} = 400x + 600y \] You can then solve this system of inequalities using a method like the Simplex method, or graphically if you're familiar with that approach. The optimal values of \( x \) and \( y \) will tell you how many hours to allocate to each plant to fulfill the order at the least cost. Now onto the fun facts! The introduction of linear programming dates back to the 1940s during World War II, where it played a crucial role in solving logistics problems for the military. It dramatically optimized resource allocation and has since permeated industries worldwide — from agriculture to finance! If you want to dive deeper, check out the book "Linear Programming: Foundations and Extensions" by Robert J. Vanderbei. It offers a comprehensive look into the concepts, methods, and practical applications of linear programming in various fields, making it a must-read for enthusiasts and professionals alike.