Step 1: Understanding the Concept:
This is a linear programming problem (LPP). The goal is to find the maximum value of a linear objective function \(Z\) given a set of linear inequality constraints, which define a feasible region. The maximum value of \(Z\) will occur at one of the vertices (corner points) of the feasible region.
Step 2: Key Formula or Approach:
1. Graph the inequalities to identify the feasible region.
2. Determine the coordinates of the vertices of this region.
3. Evaluate the objective function \(Z = 2x+3y\) at each vertex.
4. The largest value of \(Z\) found is the maximum value.
Step 3: Detailed Explanation:
The constraints are:
1. \( x \ge 0, y \ge 0 \) (First quadrant)
2. \( x+y \le 2 \) (Region below the line \(x+y=2\))
3. \( 2x+y \le 3 \) (Region below the line \(2x+y=3\))
Let's find the vertices of the feasible region:
Vertex 1 (Origin): Intersection of \(x=0\) and \(y=0\), which is \((0,0)\).
Vertex 2 (x-intercept): Intersection of \(y=0\) and \(2x+y=3\). This gives \(2x=3 \implies x=1.5\). The point is \((1.5, 0)\). (Check other constraint: \(1.5+0 \le 2\), which is true).
Vertex 3 (y-intercept): Intersection of \(x=0\) and \(x+y=2\). This gives \(y=2\). The point is \((0,2)\). (Check other constraint: \(2(0)+2 \le 3\), which is true).
Vertex 4 (Intersection of lines): Intersection of \(x+y=2\) and \(2x+y=3\).
Subtracting the first equation from the second: \((2x+y) - (x+y) = 3-2 \implies x=1\).
Substitute \(x=1\) into \(x+y=2\): \(1+y=2 \implies y=1\). The point is \((1,1)\).
The vertices of the feasible region are (0,0), (1.5, 0), (0,2), and (1,1).
Now, evaluate \(Z=2x+3y\) at each vertex:
At (0,0): \( Z = 2(0) + 3(0) = 0 \)
At (1.5, 0): \( Z = 2(1.5) + 3(0) = 3 \)
At (0,2): \( Z = 2(0) + 3(2) = 6 \)
At (1,1): \( Z = 2(1) + 3(1) = 5 \)
The values of Z are 0, 3, 5, and 6. The maximum value is 6.
Step 4: Final Answer:
The maximum value of Z is 6, which occurs at the point (0,2).