Academic Journal of Engineering and Technology Science, 2025, 8(2); doi: 10.25236/AJETS.2025.080206.
Yan Dunyue, Wang Mi, Zhou Xia, Zeng Siyu
School of Logistics, Chengdu University of Information Technology, Chengdu, 610103, China
Recently, the Internet of Things (IoT) has expanded rapidly. Consumers expect end-to-end logistics service quality to rise. Thus, end-to-end logistics service quality must be assessed to improve logistical quality and customer satisfaction. Logistics has four main end-to-end service options: conventional distribution, self-established terminal logistics center, convenience store partnership, and self-service cabinet. This paper focuses on four service modalities. We created the indicator layer (A1 transportation link, A2 warehousing link, A3 distribution service link, A4 value-added service link) and scheme layer (B1 co-distribution model, B2 self-established terminal logistics center model, B3 convenience store collaboration model, B4 self-pickup container model) using the analytic hierarchy process (AHP). A judgment matrix is created by analyzing recent market trends and assessing each indicator's importance in modern society. The co-delivery model is the best of the four service modalities. This study examines co-distribution strategy flaws to improve service quality and customer satisfaction. The co-distribution strategy uses digital technology and organizational platforms to improve service quality.
analytic hierarchy process; end-to-end logistics; logistics service; service quality
Yan Dunyue, Wang Mi, Zhou Xia, Zeng Siyu. Comparative study of four types of end-to-end logistics service modes based on analytic hierarchy process. Academic Journal of Engineering and Technology Science(2025), Vol. 8, Issue 2: 45-51. https://doi.org/10.25236/AJETS.2025.080206.
[1] Gu, T. T. (2024). A review of e-commerce logistics service quality. China Storage & Transport, (6), 117–118.
[2] Zhang, S. F., Shi, C. Y., Tang, X. Q., et al. (2023). Research on the last-mile logistics service quality of Hema Fresh based on consumer satisfaction. Jiangsu Commercial Forum, (7), 30–33+39.
[3] Lü, G. Q. (2023). The impact of e-commerce last-mile logistics service quality on rural consumers’ repurchase intention: An empirical study from the perspective of perceived value. Journal of Commercial Economics, (12), 76–79.
[4] Qin, X. (2024). Research on the influence of Hema Fresh’s last-mile logistics service quality on consumer satisfaction. China Logistics & Purchasing, (21), 75–76.
[5] Li, H., & Li, H. M. (2022). Evaluation of last-mile logistics service quality based on AHP-FCE model. Journal of Commercial Economics, (20), 110–113.
[6] Jiang, X. H., Wang, M. K., Wu, X., et al. (2022). Impact analysis of last-mile delivery service quality on rural consumers’ online shopping behavior. Logistics Sci-Tech, 45(1), 10–14.
[7] Ludmiła, F., & Mariusz, K. (2022). The complexity of logistics services at transshipment terminals. Energies, 15(4), 1435. https://doi.org/10.3390/en15041435
[8] Yang, Y. P. (2023). Research on service quality evaluation of rural last-mile logistics model in Guizhou Province [Master’s thesis, Guizhou University].
[9] Li, J. (2024). Optimization method of cold chain distribution path for fresh agricultural products considering time windows. China Shipping Weekly, (33), 75–77.
[10] Li, W., Yang, Y. M., Liu, H. Y., et al. (2019). Research on urban last-mile logistics distribution path optimization. Railway Freight Transport, 37(3), 5–10.
[11] Chu, R. R. (2015). Analysis of domestic express last-mile logistics service quality issues and countermeasures. Brand (Second Half Month), (8), 44.
[12] Peng, R. H., & Lin, X. X. (2018). Research on improving last-mile logistics service quality from the perspective of customer participation. Journal of Tongling University, 17(6), 48–53.
[13] Chen, C. (2024). Research on optimization of joint distribution mode for chain enterprises under digitalization background. China Circulation Economy, (24), 12–15.
[14] Chen, J. X. (2014). Research on the collaborative development logistics distribution model between express industry and convenience stores under e-commerce [Master’s thesis, Fuzhou University].
[15] Tian, F. Q. (2014). Research on the application of self-pickup cabinets in China’s express industry. Economic Research Guide, (29), 72–73.
[16] Zhang, M. Q., & Liu, K. Y. (2016). Research on last-mile logistics distribution mode based on self-pickup cabinets. Hebei Enterprise, (5), 96–97.
[17] Chen, X. Y. (2021). Research on improving Cainiao Station’s last-mile logistics service quality based on AHP. Logistics Engineering and Management, 43(1), 21–23+26.
[18] Liu, H. Q. (2023). Research on urban logistics infrastructure construction based on joint distribution mode. China Shipping Weekly, (37), 58–60.