Achieving Sustainability in Food Supply Chains: an Industry Case Comparison

This research presents a comprehensive study optimizing transportation logistics in the food industry, emphasizing efficiency and sustainability. A mathematical model is developed to minimize total transportation costs, considering fixed and fuel costs. Two scenarios are explored: baseline and cooperating, the latter involving collaborative logistics efforts. Analysis reveals the cooperating scenario reduces transportation costs by 7.4% and improves vehicle utilization rates to $\mathbf{8 9. 7 \%}$. Extensive validation confirms the model’s reliability. Sensitivity analyses demonstrate its adaptability to varying parameters. The study provides a conceptual framework, validated model, and comparative analysis to aid decisionmakers in the industry. It addresses the crucial balance between cost optimization and environmental impact. Future research can build on these insights to refine transportation strategies and promote sustainability.