Research on Collaborative Optimization of Fresh Food E-commerce Distribution Routes and Inventory: An Analysis Based on the EOQ Model and Dynamic Constraints

Yifei Ren

doi:10.54097/paj71a53

Authors

Yifei Ren SWUFE-UD Institute of Data Science AT SWUEF, Southwestern University of Finance and Economics, Chengdu, China

DOI:

https://doi.org/10.54097/paj71a53

Keywords:

Fresh food delivery, Path optimization, Inventory synergy, EOQ model, Joint ordering model, Data quality Timeliness.

Abstract

Due to the perishable nature of products, the continuously expanding fresh food e-commerce industry is confronted with crucial inventory management challenges. This study examines the shortcomings of the traditional economic order Quantity (EOQ) model in this context, bringing to light its inability to cope with product spoilage, quality depreciation, and the ever - changing supply chain c. Our analysis discovers three fundamental issues: the model lacks the inclusion of perishability factors, Operational uncertainties regarding demand and lead times, Moreover, the integration with the route optimization system is not close enough. The inaccuracy of data and the separate decision-making process have greatly weakened the effectiveness of inventory management, resulting in greater waste and higher e. The paper explores extended EOQ forms that account for deterioration rates and uncertain demand, Propose a better decision-making framework. Effective inventory management requires a comprehensive solution that combines adaptive EOQ models, real-time data analysis, and collaborative optimization methods. This global strategy enables enterprises to strike a balance between cost efficiency and product freshness, ultimately advancing customer satisfaction and competitive dominance in the fast - expanding fresh food e-commerce market.

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