Sustainable Distribution Of Nutritious Resources Using Interval Valued Transportation Models

Abstract

Selecting and consuming the best nutrient-rich food is considered the best form of medicine, as it supports both human health and overall well-being. Life on Land focuses on preserving biodiversity, improving land use, and ensuring sustainable ecosystems. This study develops an integrated mathematical model to support decision-making in the sustainable distribution of plant-based and eco-friendly food resources, which contribute to both human nutrition and ecological balance. The selection of optimal food resources is carried out using Multi-Criteria Decision-Making (MCDM) techniques based on ecological and nutritional indicators such as carbon footprint, land use, carbohydrates, and proteins, with an emphasis on environmental sustainability. To manage uncertainty in logistics and resource availability, an Interval Valued Transportation Problem (IVTP) model is applied. By treating supply, demand, and transportation costs as interval values, the model accommodates fluctuations in land productivity, availability, and environmental factors. The results obtained using the proposed method were found to be superior when compared with both the BAMOS method and the Interval Potential Method. Additionally, the proposed approach demonstrates greater simplicity in application and user-friendliness. This approach enables cost-effective and ecologically responsible distribution of plant-based food options, promoting sustainable consumption patterns while supporting biodiversity, soil conservation, and reduced land degradation.