Mathematical programming for an optimised fish feed formulation: towards sustainable red hybrid tilapia farming

Nurul Sakinah Din, . and Aidilla Mubarak, . and Zahidah Zaulir, . and Liew, Hon Jung and Nur Aidya Hanum Aizam, . (2024) Mathematical programming for an optimised fish feed formulation: towards sustainable red hybrid tilapia farming. Journal of Sustainability Science and Management (Malaysia), 19 (4). pp. 57-72. ISSN 2672-7226

Common issues raised in the fish industry are the highly-priced feed productio and the sustainability of its ingredients. These issues have also directly impacted the majority of local farmers. Aiming for long-term viability, controlling the feed price is therefore crucial. The selection of ingredients plays an important role in optimising the price of feed. This research, therefore, aims to introduce potential fish feed that optimises the production cost while maintaining the nutrient consumption of the intended species. The feed is formulated using a mathematical model that considers all essential requirements. In this research, the feed formulation was mainly focused on the red hybrid tilapia. Least-cost feed formulations were set out for two main life-cycle stages, juvenile and adult stages, specifying levels of three critical limits: nutrient requirements of the fish (protein, lipid, carbohydrate, fibre), cost and nutrient composition of nine commonly used ingredients. AIMMS mathematical software was used to assist the computation to optimality, reducing the cost significantly while providing complete and sufficient nutrients for the fish. From analysing previous research to obtaining advice from experts and demands from industry, ten different mathematical models were constructed as options to produce potential fish feeds at minimal costs. These models produce feeds that cost less than the commercial pellets available up to 38%. The feed formulation promises cheaper feed and could benefit the industry, indirectly supporting the small-scale local farmers. A thorough discussion of the use of the mathematical model in relation to producing an optimised feed formulation and some managerial insights are included in this research with elaborations on utilising the results to future research opportunities.

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Abstract

Common issues raised in the fish industry are the highly-priced feed productio and the sustainability of its ingredients. These issues have also directly impacted the majority of local farmers. Aiming for long-term viability, controlling the feed price is therefore crucial. The selection of ingredients plays an important role in optimising the price of feed. This research, therefore, aims to introduce potential fish feed that optimises the production cost while maintaining the nutrient consumption of the intended species. The feed is formulated using a mathematical model that considers all essential requirements. In this research, the feed formulation was mainly focused on the red hybrid tilapia. Least-cost feed formulations were set out for two main life-cycle stages, juvenile and adult stages, specifying levels of three critical limits: nutrient requirements of the fish (protein, lipid, carbohydrate, fibre), cost and nutrient composition of nine commonly used ingredients. AIMMS mathematical software was used to assist the computation to optimality, reducing the cost significantly while providing complete and sufficient nutrients for the fish. From analysing previous research to obtaining advice from experts and demands from industry, ten different mathematical models were constructed as options to produce potential fish feeds at minimal costs. These models produce feeds that cost less than the commercial pellets available up to 38%. The feed formulation promises cheaper feed and could benefit the industry, indirectly supporting the small-scale local farmers. A thorough discussion of the use of the mathematical model in relation to producing an optimised feed formulation and some managerial insights are included in this research with elaborations on utilising the results to future research opportunities.

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Item Type:	Article
AGROVOC Term:	tilapia
AGROVOC Term:	fish feeding
AGROVOC Term:	warm-water aquaculture
AGROVOC Term:	feed formulation
AGROVOC Term:	linear programming
AGROVOC Term:	fishmeal
AGROVOC Term:	soybean meal
AGROVOC Term:	growth rate
AGROVOC Term:	feed conversion efficiency
Geographical Term:	Malaysia
Depositing User:	Mr. Khoirul Asrimi Md Nor
Date Deposited:	10 Mar 2025 06:15
Last Modified:	10 Mar 2025 06:15
URI:	http://webagris.upm.edu.my/id/eprint/2484

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