The objective function, decision variables, constraints, and non-negativity conditions are the four primary elements of a Linear Programming (LP)issue. The objective function is a linear equation of decision variables that defines the objective, such as maximizing earnings or decreasing expenses. The quantities to be decided, such as production levels or resource allocation amounts, are represented by the decision variables. Requirements or limitations that must be satisfied, such as capacity, resource availability, or demand, are known as constraints and are represented by linear equations or inequalities. The non-negativity conditions, which represent real-world restrictions like physical quantities that must be zero or positive, guarantee that decision variables cannot assume negative values. Together, these elements represent and resolve optimization issues in a range of industrial settings.