Optimization of a Fish Farm to Maximize Profit
Team members: Narayon Dey Noyon, Chinmoy Shekhar Saikat, Torun Haldar
Summary: This project focused on maximizing profit for a fish farm in Bangladesh through operations research techniques. The farm has five ponds, each with specific capacities, fixed costs, and minimum expected profit requirements. Various fish species are cultivated, including Rui, Catla, Silver Carp, Tilapia, and Bata. A premium species, Boal, requires special conditions due to its high cost and incompatibility with smaller fish. Using linear programming, we formulated an optimization model incorporating constraints like pond capacity, minimum revenue, production limits, and species compatibility. The Excel Solver was applied to determine optimal fish quantities per pond, yielding a maximum profit of 181,800 TK. Limitations considered include variable cost estimates, weather effects, and market fluctuations. The project demonstrates how mathematical modeling can enhance profitability in aquaculture.