Final answer:
To solve for the minimum value of the objective function with the given constraints, we can use a technique called linear programming. Here's how: Assign variables to each of the unknowns. Write the system of constraints as inequalities. Set up the objective function as the sum of all the variables.
Step-by-step explanation:
To solve for the minimum value of the objective function with the given constraints, we can use a technique called linear programming. Here's how:
- Assign variables to each of the unknowns, such as P1, P2, P3, P4, P5, and P6.
- Write the system of constraints as inequalities:
- P1 + P2 > 12
- P2 + P3 > 16
- P3 + P4 > 9
- P4 + P5 > 11
- P5 + P6 > 4
- P6 + P1 > 3
- Set up the objective function as the sum of all the variables:
- Min = P1 + P2 + P3 + P4 + P5 + P6
- Graph the system of inequalities to find the feasible region.
- Find the vertices of the feasible region.
- Substitute the values of the vertices into the objective function.
- Compare the results to find the minimum value.