Building a mathematical model to Maximize the productivity company,s revenue using Integer linear fractional programming – with practical application Abstract

	Building a mathematical model to Maximize the productivity company,s revenue using Integer linear fractional programming – with practical application Abstract
journal of Economics And Administrative Sciences/ University of baghdad
Article 1, Volume 20, Issue 79, 2014, Pages 310-336
Abstract
This search summaries in building a mathematical model to the issue of Integer linear Fractional programming and finding the best solution of Integer linear Fractional programming (I.L.F.P) that maximize the productivity company,s revenue by using the largest possible number of productivity units and maximizing denominator objective which represent,s proportion of profits to the costs , thus maximizing total profit of the company at the lowest cost through using Dinkelbach algorithm and the complementary method on the Light industries company data for 2013 and comparing results with Goal programming methods results . It is clear that the final results of resolution and Dinkelbach algorithm and complementary method are very near and maximizing proportion is equal , while, Goal programming methods is less . From this , we can exclude that the Integer linear Fractional programming considers the best one , this result is logical because goal programming are trying to create harmony to achieve the goal of contrasting , This is considered as amodel in the model to maximize the return on any company productivity
Keywords
Building a mathematical model; Integer Linear Fractional programming; Dinkelbach algorithm; complementary method; Goal programming; Dinkelbach

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