@Article{JNMA-3-3,
author = {Tolulope, Latunde and Richard, Oluwaseun, Joseph and Opeyemi, Odunayo, Esan and Deborah, Dare, Damilola},
title = {Optimal Value and Post Optimal Solution in a Transportation Problem},
journal = {Journal of Nonlinear Modeling and Analysis},
year = {2021},
volume = {3},
number = {3},
pages = {335--348},
abstract = {<p style="text-align: justify;">In this work, we analyse the transportation problem of a real-life
situation by obtaining the optimal feasible solutions, thus carrying out the
sensitivity analysis of the problem. The work utilises the data obtained from
the Asejire and Ikeja plants of Coca-Cola company, aiming to aid decision-making regarding the best possible options to satisfy customers at the barest
minimum cost of transportation. Rerunning the optimization of a problem is
an expensive scheme for gathering and obtaining enough data required for a
problem. Thus, to minimize the transportation cost, the sensitivity analysis of
parameters is a good tool to determine the behaviour of some input parameters
where the values of these parameters are varied arbitrarily such that optimal
results are verified. Maple 18 Software is used to solve the problem and the
result obtained is compared with the values evaluated from northwest corner
method, least cost method and Vogel’s approximation method. The study
critically shows how a little change in a unit or more of any model parameter
affects the expected results.</p>},
issn = {2562-2862},
doi = {https://doi.org/10.12150/jnma.2021.335},
url = {https://global-sci.com/article/87975/optimal-value-and-post-optimal-solution-in-a-transportation-problem}
}