• EGBON, F.O
• OLOFINLAE, O.O.

The inevitable task in the development of realistic linear programing model is the collection of accurate and reliable numerical values for the coefficients. In any occasion, only estimated or average values of the coefficients are available. Therefore, we are compelled to estimate the problem to be determined. Hence, it is important to study the behaviour of solutions to a linear programming problem when the coefficients of the values are allowed to fluctuate. To find the optimality and to determine what happens to the optimal solution when certain changes are made in the system is crucial. We are still able to observe what happens to the linear programming coefficients under investigation as they continuously change their values that are linear functions of a parameter. Moreover, we would like to determine the effects of those changes without having to solve a new problem or a series of new problems afresh with respect to the established lemmas.

Linear Programming LP, Optimality, Coefficients, Iteration and parameter

"Numerical Illustration of Sensitivity and Parametric Analysis of Linear Programming Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.114-124, June-2018, Available :http://www.jetir.org/papers/JETIR1806518.pdf

"Numerical Illustration of Sensitivity and Parametric Analysis of Linear Programming Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp114-124, June-2018, Available at : http://www.jetir.org/papers/JETIR1806518.pdf