A Maximization Model for Food Aid Distribution using Integer Linear Programming

Immanuel Jose C. Valencia, Elmer P. Dadios, Robert Kerwin C. Billones

20212021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)12 citationsDOI

Abstract

The covid-19 pandemic has severely affected the economy of the Philippines. With 90% of the labor force being affected, hundreds of thousands of families turn to their respective local government units for assistance. LGUs have begun distributing food box assistance to every family under the Food Security Program to ease the economic burden. However, such a program having a vast number of recipients will require a large budget. This study presents the optimization of the content of the food packs used for food aid distribution through linear programming using Matlab. The study's goal is to maximize the nutritional content of the food pack while being under the constraint of a limited budget to ensure the best utilization of scarce resources.

Topics & Concepts

Food aidLinear programmingInteger programmingFood securityComputer scienceGovernment (linguistics)Food distributionMaximizationConstraint (computer-aided design)Budget constraintDistribution (mathematics)Operations researchAgricultureMathematical optimizationEconomicsEngineeringMicroeconomicsMathematicsGeographyArchaeologyMedicineMechanical engineeringPhilosophyLinguisticsAlgorithmPathologyMathematical analysisOptimization and Mathematical Programming