Development of Optimization Models for The Productive Capacity of Paint Manufacturing Company to Maximize Profit

Tobinson A. Briggs; Shadrack Mathew Uzoma

doi:https://doi.org/10.14445/22315381/IJETT-V67I10P210

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Volume 67 | Issue 10 | Year 2019 | Article Id. IJETT-V67I10P210 | DOI : https://doi.org/10.14445/22315381/IJETT-V67I10P210

Development of Optimization Models for The Productive Capacity of Paint Manufacturing Company to Maximize Profit

Tobinson A. Briggs, Shadrack Mathew Uzoma

Citation :

Tobinson A. Briggs, Shadrack Mathew Uzoma, "Development of Optimization Models for The Productive Capacity of Paint Manufacturing Company to Maximize Profit," International Journal of Engineering Trends and Technology (IJETT), vol. 67, no. 10, pp. 54-57, 2019. Crossref, https://doi.org/10.14445/22315381/IJETT-V67I10P210

Abstract

The technology of paint manufacture is highly advanced. Paints are manufactured from synthetic materials. The art of paint manufacturing was dated back to prehistoric times. The prehistoric man-made paints by mixing clays, chalks, and animal fats. Then it was applied in designing their bodies during traditional festivals and coloring the walls of their caves. In present times, the chemistry of many aspects of paint manufacturing and its area of application is properly understood. The implication is that paint manufacturing has finally moved from being an art to being a science. In day to day engineering endeavors, paints are applied in coating pipes, building walls, automobiles, and aircraft body structures to guide against corrosion or avoid environmental degradation. In this research work, the authors developed mathematical optimization models to maximize the profitability index of the Academy Color Paint Company. The models are Linear Programming production-demand based models subject to a certain number of critical constraints to be handled by a computational approach using LINDO Computer Software.

Keywords

Technology; Prehistoric; Paint Manufacturing; Environmental Degradation; Linear Programming; Production Based Models; Computational Approach; Lindo Computer Software

References

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