Rice profit maximization in Mabitac Laguna farms in the Philippines

Abstract

The study developed a linear programming model that enables to maximize the profit of Rice Farms in Mabitac, Laguna in varieties of Rice. The three varieties of Rice were considered in this study such as dry, wet and average and three hectares of planting ground are assumed to be normal. In the development of the model, several constraints were considered such as cost of seeds per kilo, cost of pesticide, fertilizer, irrigation, fuel and oil, electricity, sacks and tying materials and transportation used per kilogram of seeds. The researchers were able to produce three linear programming models for each variety of rice. Using POM-QM, the solution for each model was obtained and the best combination for every variety of rice was identified. Profit analysis was also done by comparing the profit earned from the data given against the profit earned using linear programming.

Keywords: Linear Programming, Maximization, POM-QM, Profit, Rice