The decision maker can control the value of an objective function using the decision variable. Let's see the basic terminologies of linear programming:ĭecision variables are the variables which will be used as a function of the objective function. LP problems can be solved using different techniques such as Graphical, Simplex, and Karmakar's method. Linear programming can be applied in planning economic activities such as transportation of goods and services, manufacturing products, optimizing the electric power systems, and network flows. Mathematically, linear programming optimizes (minimizes or maximizes) the linear objective of several variables subject to the given conditions/constraints that satisfies a set of linear inequalities. Graphical Method to solve LPP in Spreadsheet.In this tutorial, you are going to learn about linear programming, and the following topics will be covered: Linear programming is used to find the solution for the given constrained problem. These situations and restrictions are known as the constraints of flying planes on the most popular and profitable route. These airlines schedules involve a lot of situations and restrictions such as the number of planes at a particular location, fuel, crew, and type of route (popular and profitable routes). From time productivity to capital utilization, land to labor, and from supply chain to production-almost everything you do is to optimize productivity.Ī majority of airlines optimize flight schedules to get the highest revenue and lowest cost. As a manager of a company, you always have finite or limited resources, and top management's expectation is for you to make the most out of it.

Pivot table tool constraints