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<p>This paper constructs a cross-border e-commerce supply chain information synergy platform for agricultural products, which screens and processes data of relevant business information and finally outputs information that helps cross-border e-commerce business of agricultural products. Through in-depth analysis of the structural characteristics of cross-border e-commerce maritime and air transport international logistics network under the mode of overseas warehouse, we first describe this type of problem and the basic assumptions of the model, set the model parameters, take a set of optimal solutions of Pareto, and model the cross-border e-commerce logistics network under the mode of overseas warehouse under the mode of maritime and air transport, respectively. According to different objectives, the multi-objective model of the international logistics network of cross-border e-commerce sea transportation mode and the multi-objective model of the international logistics network of cross-border e-commerce air transportation mode are established, respectively. After the optimization of the logistics supply chain, the turnover days of accounts receivable are 20 days faster than in the past, which is still 5 days less than the specified target value. The inventory stock days have been decreased from 150 days to 110 days. In other aspects, although there is still a small gap between the actual situation and the target value, most of the score values are close to the established value, and there is a significant improvement compared with the original operational value after improvement through the method of this paper cross-border e-commerce enterprises’ procurement cycle time and order fulfillment cycle time are reduced by 10 days compared with the past and reach the target values.</p>
</abstract>

This paper constructs a cross-border e-commerce supply chain information synergy platform for agricultural products, which screens and processes data of relevant business information and finally outputs information that helps cross-border e-commerce business of agricultural products. Through in-depth analysis of the structural characteristics of cross-border e-commerce maritime and air transport international logistics network under the mode of overseas warehouse, we first describe this type of problem and the basic assumptions of the model, set the model parameters, take a set of optimal solutions of Pareto, and model the cross-border e-commerce logistics network under the mode of overseas warehouse under the mode of maritime and air transport, respectively. According to different objectives, the multi-objective model of the international logistics network of cross-border e-commerce sea transportation mode and the multi-objective model of the international logistics network of cross-border e-commerce air transportation mode are established, respectively. After the optimization of the logistics supply chain, the turnover days of accounts receivable are 20 days faster than in the past, which is still 5 days less than the specified target value. The inventory stock days have been decreased from 150 days to 110 days. In other aspects, although there is still a small gap between the actual situation and the target value, most of the score values are close to the established value, and there is a significant improvement compared with the original operational value after improvement through the method of this paper cross-border e-commerce enterprises’ procurement cycle time and order fulfillment cycle time are reduced by 10 days compared with the past and reach the target values.

Exploring the cross-border e-commerce of agricultural exports and its logistics supply chain innovation and development strategy under digital technology

Fujian Agriculture and Forestry University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper constructs a cross-border e-commerce supply chain information synergy platform for agricultural products, which screens and processes data of...

Exploring the cross-border e-commerce of agricultural exports and its logistics supply chain innovation and development strategy under digital technology

Online veröffentlicht: 16. Dez. 2023

Seitenbereich: -

Eingereicht: 28. Jan. 2023

Akzeptiert: 26. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01487

Schlüsselwörter
Multi-objective genetic algorithm, Pareto optimal solution, Logistics network model, Supply chain information collaboration platform, Cross-border e-commerce

© 2023 Xiaohong Miao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the cross-border e-commerce of agricultural exports and its logistics supply chain innovation and development strategy under digital technology

Online veröffentlicht: 16. Dez. 2023

Seitenbereich: -

Eingereicht: 28. Jan. 2023

Akzeptiert: 26. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01487

SchlüsselwörterMulti-objective genetic algorithm, Pareto optimal solution, Logistics network model, Supply chain information collaboration platform, Cross-border e-commerce

© 2023 Xiaohong Miao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Multi-objective genetic algorithm, Pareto optimal solution, Logistics network model, Supply chain information collaboration platform, Cross-border e-commerce