The components of a linear programming model are Linear Constraints, Linear Functions and a set of decision variables. These two components are used to maximize or minimize a linear function. Linear programming models minimize or maximize linear function subject to set of linear constraints. It is like finding maximum or minimum profit or loss of a company's performance over a given condition. These three components are connected with each other where a linear function over a particular decision variables is projected onto linear constraints to find maximum or minimum values of a function.