Modelling Optimal Paint Production using Linear Programming

  IJMTT-book-cover
 
International Journal of Mathematics Trends and Technology (IJMTT)
 
© 2019 by IJMTT Journal
Volume-65 Issue-6
Year of Publication : 2019
Authors : Stephen I. Okeke, Akpan, N.P
  10.14445/22315373/IJMTT-V65I6P508

MLA

MLA Style:Stephen I. Okeke, Akpan, N.P "Modelling Optimal Paint Production using Linear Programming" International Journal of Mathematics Trends and Technology 65.6 (2019): 47-53.

APA Style: Stephen I. Okeke, Akpan, N.P (2019). Modelling Optimal Paint Production using Linear Programming International Journal of Mathematics Trends and Technology, 47-53.

Abstract
The concept of Simplex algorithm is effectively and practically used in this work. A feature of Linear Programming is to allocate raw materials to striving variables (small bucket and big bucket) in a paint industry for the purpose of maximizing company’s profit. The analysis was implemented using MS Excel Solver (2007 version) and the result showed that 10 units of small bucket of paint, 0 unit of big bucket of paint should be produced independently in order to make a profit of N 7000.00. Thus, from the analysis, it was discovered that small bucket of paint only contribute objectively to the profit. So, more of small buckets of paint are needed to be produced and sold in order to maximize the company’s profit and at same time satisfying the customers’ needs.

Reference
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Keywords
Linear programming model, Decision Variables, Simplex Method, MS Excel Solver (2007version),Optimal result.