Optimization of parts logistics network in East China based on multiple delivery methods
DOI:
https://doi.org/10.54097/c897v472Keywords:
FAW Logistics, Logistics Network Planning, Parts Logistics, NSGA-II Algorithm.Abstract
This paper mainly discusses the optimisation strategy of FAW Logistics in parts logistics network management. For the pickup programme of parts logistics, it combines multimodal transport and third-party logistics. For orders from different suppliers, diversified pickup methods are adopted, mainly including direct delivery, circular pickup, and transshipment through distribution centres. For orders with large volumes, direct trucking is used to reduce transit and improve efficiency. For orders from suppliers in Hubei Province, circular pickup is used. For large-volume orders, large transport vehicles are chosen to be used directly to reduce costs and transport time. Most orders from Wenzhou and Taizhou are transshipped through Zhejiang or Shanghai distribution centres. By optimising the scheme, a 24.84% reduction in cost was achieved for the same order cycle, significantly improving logistics efficiency and economy. This study not only has practical guidance significance for the enhancement and change of FAW Logistics' development strategy, but also promotes the company's sustainable development.
Downloads
References
E H. Research on optimisation scheme of logistics management of FAW Jiefang Group Co [D]. Jilin University, 2021.
LU Ruixin, LIU Chunmei, NIE Feng. Design and simulation of multimodal logistics cooperative distribution model [J]. Computer Simulation, 2022, 39(08):171-174+481.
Wanying Z. Optimal Fixed Route for Multimodal Transportation of Vehicle Logistics in Context of Soft Time Windows [J]. SCIENTIFIC PROGRAMMING,2021
LI Cheng-You, LU Hui-Chao, LI Yong-Heng et al. Planning and design of automated logistics system for multiple pallet sharing - an example of parts distribution logistics in an automobile enterprise[J]. Logistics Technology, 2022, 41(6):84-88.
WANG Ke-Feng, ZHANG Yan-Bin, HUANG Jian-Wei. Multi-objective trajectory planning of robotic arm based on improved NSGA-Ⅱ algorithm [J]. China Journal of Construction Machinery, 2023, 21(3):215-220.
WANG Chaofan, ZHANG Yongping, LIN Diao et al. planning and design of urban cycling road network with multi-objective optimization [J]. Landscape Architecture, 2023, 30(9):29-36.
NI Yiming, YAN Han,YAN Guoqing et al. Research on site selection-inventory optimisation of cross-border e-commerce overseas warehouse based on NSGA-Ⅱ algorithm[J]. Business and Economic Research, 2023(1):133-136.
Wang JF. Deformation prediction and optimal control of existing tunnels based on PSO-RF-NSGA-Ⅱ shield tunnel under construction [J]. Tunnel Construction (in Chinese and English), 2023, 43(5):745-753.
Marit H, Tobias S, Michael F. Vehicle compound planning and control system: a planning and control framework for vehicle compounds with online- optimisation on the level of individual workers [J]. Expert Systems with Applications,2023,231
Santos V A, Zamora C N, Hernández H J et al. Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation [J]. Journal of Marine Science and Engineering, 2024, 12(2).
Mingshu Zhang, Xianhao Xu, Ruiting Yue et al. Study on the balanced logistics of automotive parts considering circulating containers[J/OL]. China Management Science, 1-12[2024-03-22].
XU Bing, XU Yanhua, LIU Hanqi. Intelligent scheduling modelling of factory outbound in vehicle logistics service supply chain [J/OL]. Computer Integrated Manufacturing Systems, 1-23[2024-03-22].
DONG Dejin, WANG Changcheng, CAI Yunze. Raster map path planning based on improved multi-objective evolutionary algorithm [J/OL]. Journal of Shanghai Jiao Tong University, 1-18[2024-03-22].
AI Ziyan, ZHANG Xu, WU Xu. Design of China-Europe container intermodal transport service network [J/OL]. Journal of Railway Science and Engineering, 1-13[2024-03-22].
YANG Yang, ZHANG Kuandi, YAO Tiancheng et al. Optimisation design of Myring streamlined water measuring tank based on NSGA-Ⅱ genetic algorithm [J/OL]. Journal of Agricultural Machinery, 1-17 [2024-03-22].
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Journal of Education, Humanities and Social Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.