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  4. Vol 8, Issue 5, 2024

Research on Cost Optimization of Fresh Commodities: An E-commerce Business Perspective

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DOI: 10.23977/acss.2024.080508 | Downloads: 20 | Views: 939

Author(s)

Binhao Yu 1

Affiliation(s)

1 School of Mathematical Sciences, Soochow University, Suzhou, Jiangsu, 215031, China

Corresponding Author

Binhao Yu

ABSTRACT

With the high-quality economic development and per capita income of China improving significantly, the demand for fresh commodities surges unprecedentedly. This paper outlines two E-commerce channels for selling fresh goods and establishes an inventory routing problem model. Following this, two sub-problems are discussed, namely the transportation cost of the direct distribution channel as well as the warehousing cost and the deterioration cost of the channel involving offline distributors. To optimize transportation costs, a capacitated vehicle routing problem model is built, and the ant colony algorithm is improved by considering the load factor of distribution vehicles. The optimal route from a single distribution center to 50 customer sites is obtained by solving the specific example using MATLAB. To find the optimal solution for the warehousing cost and the deterioration cost, distribution periods are interpreted as piecewise functions. With one of the periods being selected, the summation of the aforementioned costs is obtained by setting parameter values. The inventory routing model and the improved ant colony algorithm proposed in this paper fully consider the actual selling conditions of fresh food e-commerce businesses, which results in more accurate analysis, thus providing a rational decision-making basis for the e-commerce businesses to analyze economic benefits.

KEYWORDS

Fresh food E-commerce business, Inventory routing, Vehicle routing, Ant colony algorithm, Cost optimization

CITE THIS PAPER

Binhao Yu, Research on Cost Optimization of Fresh Commodities: An E-commerce Business Perspective. Advances in Computer, Signals and Systems (2024) Vol. 8: 69-79. DOI: http://dx.doi.org/10.23977/acss.2024.080508.

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