For Linear Programming to be used effectively, a real-world problem should have clearly defined decision variables, a measurable objective to maximize or minimize, limited resources or constraints, and relationships that can be expressed linearly. The variables should also be divisible or reasonably treated as continuous, and the relevant data such as costs, resource requirements, and limits should be known or estimable.

Linear Programming works effectively when the problem has clear decision variables, linear relationships, known constraints, and a measurable objective to maximize or minimize.