An Optimization of Inventory in Retrospect of the Directorate of Physical Planning in Ambrose Alli University Ekpoma, Edo State

This study proposes a mathematical model for the Directorate of Physical Planning’s inventory materials at Ambrose Alli University in Ekpoma, Edo State. To minimize the total cost for the year 2015, the study uses the linear programming solver (MATLAB’s linprog solver). To give the most efficient inventory among the products purchased, as well as the ideal minimum cost for the inventory, program codes 1 and 2 with upper bounds were employed. Program codes 1 with an upper bound attained the required results for the year, however program codes 2 without an upper bound were unable to do so, showing that their optimization method was under-performing in terms of cost minimization.