Intelligent E-commerce Logistics Supply Chain Management and Scheduling Optimisation

[1] Shi, Y., Lin, Y., Lim, M., Tseng, M., Tan, C., & Li, Y. (2022). An intelligent green scheduling system for sustainable cold chain logistics. Expert Syst. Appl., 209, 118378. Search in Google Scholar

[2] Sabbagh, P. (2021). An uncertain model for analysis the barriers to implement blockchain in supply chain management and logistics for perishable goods. International Journal of Computational Intelligence Systems. Search in Google Scholar

[3] Tang, M., & Wang, Z. (2021). Fuzzy multicriteria decision-making analysis of agricultural product logistics in agricultural economic management. Mathematical Problems in Engineering, 2021. Search in Google Scholar

[4] Lam, C. Y., & Ip, W. H. (2019). An integrated logistics routing and scheduling network model with rfid-gps data for supply chain management. Wireless Personal Communications. Search in Google Scholar

[5] Perboli, G., Musso, S., & Rosano, M. (2018). Blockchain in logistics and supply chain: a lean approach for designing real-world use cases. IEEE Access(1). Search in Google Scholar

[6] Li, Y., Cheng, Y., & Feng, M. (2021). Research on partner selection method of logistics service supply chain based on supply and demand matching. Asia-Pacific Journal of Operational Research. Search in Google Scholar

[7] Pan, ShenleTrentesaux, DamienMcFarlane, DuncanMontreuil, BenoitBallot, EricHuang, George Q. (2021). Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards physical internet. Computers in Industry, 128(1). Search in Google Scholar

[8] Wang, L., Wu, Z., & Cao, C. (2021). Integrated optimization of routing and energy management for electric vehicles in delivery scheduling. Energies, 14. Search in Google Scholar

[9] Ulewicz, R. (2021). Smart sustainable city manufacturing and logistics: a framework for city logistics node 4.0 operations. Energies, 14. Search in Google Scholar

[10] Prabhu, R. M., Hema, G., Chepure, S., & Guptha, M. N. (2020). Logistics optimization in supply chain management using clustering algorithms. Scalable Computing, 21(1), 107–114. Search in Google Scholar

[11] Sukendar, I., Nurwidiana, Hidayati, D. N., Ma’mun, S., Tamura, H., & Purnomo, M. R. A. (2018). Implementation of supply chain management in supplier performance assessment using analytical hierarchy process (ahp) objective matrix (omax) and traffic light system. MATEC Web of Conferences 154, 01054. Search in Google Scholar

[12] Liu, J., Liu, X., Wang, F., Ma, X., & Yue, X. (2022). Equilibrium decisions and coordination of a logistics service supply chain with bilateral corporate social responsibility. RAIRO - Operations Research, 56(4), 2595–2612. Search in Google Scholar

[13] Zhang, X. (2022). B2c e-commerce logistics network optimization model. Journal of global information management. Search in Google Scholar

[14] Zhang, MengdiHuang, George Q.Xu, Su XiuZhao, Zhiheng. (2019). Optimization based transportation service trading in b2b e-commerce logistics. Journal of Intelligent Manufacturing, 30(7). Search in Google Scholar

[15] Pu, S., & Xia, C. (2023). Exact approach for integrated delivery optimization of e-commerce and online-to-offline parcels. Asia-Pacific Journal of Operational Research, 40(03). Search in Google Scholar

[16] Ren, J., Li, H., Zhang, M., & Wu, C. (2021). Massive-scale graph mining for e-commerce cold chain analysis and optimization. Future Generation Computer Systems, 125, 526–531. Search in Google Scholar

[17] Zhang, Q., & Cao, X. (2019). Multi-objective clustering optimization algorithm for paper-making enterprises’ logistics distribution routes under e-commerce environment. Paper Asia(4), 26–32. Search in Google Scholar

[18] Liu, W. (2020). Route optimization for last-mile distribution of rural e-commerce logistics based on ant colony optimization. IEEE Access, PP(99), 1–1. Search in Google Scholar

[19] Li, Z., Barenji, A. V., Jiang, J., Zhong, R. Y., & Xu, G. (2018). A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand. Journal of Intelligent Manufacturing. Search in Google Scholar

[20] Zheng, K., Huo, X., Jasimuddin, S., Zhang, J. Z., & Battaia, O. (2023). Logistics distribution optimization: fuzzy clustering analysis of e-commerce customers’ demands. Computers in Industry. Search in Google Scholar