Mathematical optimization for nutritional equity: A decision-making and transportation model for implementing SDG-10

<ns3:p>The Sustainable Development Goal 10 (SDG-10) aims to diminish inequalities within and among countries, including discrepancies in healthcare and nutrition. This study focuses on developing a mathematical model to assist in selecting the most nutritious food based on key health criteria – calcium, vitamins, carbohydrates, and proteins. With the application of multi-criteria decision-making (MCDM) techniques, the optimal food choice is determined to enhance health equity. Furthermore, the transportation problem is used to minimize the cost of distributing this nutritional knowledge and resources to a larger population. The integration of these mathematical approaches ensures that nutritious food choices are both effective and accessible, contributing to a reduction in health-related inequalities.</ns3:p>