Here is a breakdown of the problems from your document:

1. Graphical method for LP problem:

   • Objective: Maximize $Z = 2x_1 + x_2$
   • Subject to constraints:
     • $x_1 + 2x_2 \leq 10$
     • $x_1 + x_2 \leq 6$
     • $x_1 - x_2 \leq 2$
     • $x_1 - 2x_2 \leq 1$
     • $x_1, x_2 \geq 0$
   • You are asked to solve this using the graphical method and verify it using Excel Solver.

2. Production optimization for ABC Company:

   • Objective: Maximize profit from producing AM and AM-FM radios.
   • Constraints:
     • Production time: 48 hours/week.
     • AM radio takes 2 hours, contributes Rs 40 to profit.
     • AM-FM radio takes 3 hours, contributes Rs 80 to profit.
     • Sales limits: 15 AM radios, 10 AM-FM radios.
   • Part (a): Formulate this as a linear programming (LP) model.
   • Part (b): Solve the problem graphically.

3. Cost minimization for production of products A and B:

   • Objective: Minimize production cost of A (gallons) and B (quintals) across two plants.
   • Constraints:
     • Each plant works up to 16 hours/day.
     • Time and cost to produce A and B differ between plants.
     • Minimum production requirements: 10,000 gallons of A and 8 quintals of B.
   • Formulate the LP problem to minimize costs while satisfying these requirements.

Would you like detailed steps for solving one of these problems?

Here are five follow-up questions you might consider:

1. What are the steps to solving an LP problem graphically?
2. How can Excel Solver be used to verify linear programming solutions?
3. How do you interpret constraints in linear programming?
4. What are some real-world applications of linear programming in manufacturing?
5. How do production limits affect the optimization of resources?

Tip: When solving an LP problem graphically, always plot the constraints and find the feasible region before maximizing or minimizing the objective function.