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A neural network-based model for cross-border e-commerce supply chain demand forecasting and inventory optimization

  
09 oct. 2024
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Fu, J. Q. (2020, January). Optimization Method of Cross-Border E-Commerce Logistics Distribution Route Based on Improved Genetic Algorithm. In 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 652-657). IEEE. Search in Google Scholar

Zhang, X., Zha, X., Zhang, H., & Dan, B. (2022). Information sharing in a cross-border e-commerce supply chain under tax uncertainty. International Journal of Electronic Commerce, 26(1), 123-146. Search in Google Scholar

Harrison, A., & Kortuem, S. (2018). Optimized analysis based on the characteristics of cross-border E-commerce logistics business. International journal of Smart Business and Technology, 6(2), 1-10. Search in Google Scholar

Chen, J., Tournois, N., & Fu, Q. (2020). Price and its forecasting of Chinese cross-border E-commerce. Journal of Business & Industrial Marketing, 35(10), 1605-1618. Search in Google Scholar

Song, L., Chen, Y., Zhang, B., & Zhu, M. (2024). Inventory and financing decisions in cross-border e-commerce: The financing and information roles of a bonded warehouse. Expert Systems with Applications, 238, 121639. Search in Google Scholar

Niu, B., Chen, K., Chen, L., Ding, C., & Yue, X. (2021). Strategic waiting for disruption forecasts in cross-border E-commerce operations. Production and Operations Management, 30(9), 2840-2857. Search in Google Scholar

Shi, J. (2022). Research on Optimization of Cross-Border e-Commerce Logistics Distribution Network in the Context of Artificial Intelligence. Mobile Information Systems, 2022(1), 3022280. Search in Google Scholar

Ren, S., Choi, T. M., Lee, K. M., & Lin, L. (2020). Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach. Transportation Research Part E: Logistics and Transportation Review, 134, 101834. Search in Google Scholar

Liu, T. (2021). Cross-Border Internet of Things E-Commerce Warehouse Control System Based on TRIZ Theory. Scientific Programming, 2021(1), 2656508. Search in Google Scholar

Jin, L. (2024). Exploration of cross-border e-commerce and its logistics supply chain innovation and development path for agricultural exports based on deep learning. Applied Mathematics and Nonlinear Sciences, 9(1). Search in Google Scholar

Xie, Z. (2023, March). Logistics Distribution Optimization System of Cross-Border e-Commerce Platform Based on Bayes-BP Algorithm. In The International Conference on Cyber Security Intelligence and Analytics (pp. 30-39). Cham: Springer Nature Switzerland. Search in Google Scholar

Wang, Y., Jia, F., Schoenherr, T., & Gong, Y. (2018). Supply chain-based business model innovation: the case of a cross-border E-commerce company. Sustainability, 10(12), 4362. Search in Google Scholar

Ding, F. (2018). Developing e-commerce logistics in cross-border relation. Technische Universitaet Berlin (Germany). Search in Google Scholar

Wang, Y., Jia, F., Schoenherr, T., Gong, Y., & Chen, L. (2020). Cross-border e-commerce firms as supply chain integrators: The management of three flows. Industrial Marketing Management, 89, 72-88. Search in Google Scholar

Wang, W. (2023). A IoT-based framework for cross-border e-commerce supply chain using machine learning and optimization. IEEE Access. Search in Google Scholar

Ye, W. (2024). E-commerce logistics and supply chain network optimization for cross-border. Journal of Grid Computing, 22(1), 22. Search in Google Scholar

Tang, Y. M., Chau, K. Y., Lau, Y. Y., & Zheng, Z. (2023). Data-intensive inventory forecasting with artificial intelligence models for cross-border e-commerce service automation. Applied Sciences, 13(5), 3051. Search in Google Scholar

Shi, Y., Wang, T., & Alwan, L. C. (2020). Analytics for cross-border e-commerce: inventory risk management of an online fashion retailer. Decision Sciences, 51(6), 1347-1376. Search in Google Scholar

Gong, Z. (2024). Optimization of cross-border E-commerce (CBEC) supply chain management based on fuzzy logic and auction theory. Scientific Reports, 14(1), 14088. Search in Google Scholar

Xie, L., Liu, J., & Wang, W. (2024). Predicting sales and cross-border e-commerce supply chain management using artificial neural networks and the Capuchin search algorithm. Scientific Reports, 14(1), 13297. Search in Google Scholar

Li, J., Wang, T., Chen, Z., & Luo, G. (2019). Machine learning algorithm generated sales prediction for inventory optimization in cross-border E-commerce. International Journal of Frontiers in Engineering Technology, 1(1), 62-74. Search in Google Scholar

Xia, L., & Liu, S. (2021). Intelligent IoT-Based Cross-Border e-Commerce Supply Chain Performance Optimization. Wireless Communications and Mobile Computing, 2021(1), 9961925. Search in Google Scholar

Liu, Y. (2022). A Cross-Border e-Commerce Cold Chain Supply Inventory Planning Method Based on Risk Measurement Model. Mobile Information Systems, 2022(1), 6318373. Search in Google Scholar

Sun, L., Lyu, G., Yu, Y., & Teo, C. P. (2021). Cross-border e-commerce data set: Choosing the right fulfillment option. Manufacturing & Service Operations Management, 23(5), 1297-1313. Search in Google Scholar

Huang, L., & Chi-Bin, C. (2018). Retailer’s Optimal Inventory Policies for Cross-Border E-Commerce. International Journal of Business and Administrative Studies, 4(1), 37. Search in Google Scholar

Kourosh Holakouie Naieni,Mojtaba Sepandi,Babak Eshrati,Shahrzad Nematollahi & Yousef Alimohamadi. (2024). Comparative performance of hybrid model based on discrete wavelet transform and ARIMA models in prediction incidence of COVID-19. Heliyon(13),e33848-e33848. Search in Google Scholar

Mohammed Khalifa Al Alawi,Ali Jaddoa,James Cugley & Hany Hassanin. (2024). A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection. Journal of Energy Storage(PB),112866-112866. Search in Google Scholar

Fithri Prima,Hasan Alizar & Asri Fadhita Maisa. (2019). Analysis of Inventory Control by Using Economic Order Quantity Model – A Case Study in PT Semen Padang. Jurnal Optimasi Sistem Industri(2),116-116. Search in Google Scholar

Dalia Atif. (2024). Enhancing Long-Term GDP Forecasting with Advanced Hybrid Models: A Comparative Study of ARIMA-LSTM and ARIMA-TCN with Dense Regression. Computational Economics(prepubulish),1-27. Search in Google Scholar

Alireza Pooya & Amin Mansoori. (2024). Neural network for solving disturbance optimal control model for production inventory system with stochastic deterioration in two-level supply chain. Soft Computing (prepubulish),1-16. Search in Google Scholar