Strategy of Third-Party Automotive Logistics Distribution Network with Random Demand
Lu Qin, Ying Su
Available Online February 2018.
- 10.2991/ifeesm-17.2018.194How to use a DOI?
- Distribution Network, 3PL, Automotive Logistics
In this paper, we addressed the inventory-location model of the distribution network planning based on the actual vehicle 3PL case background. We use the genetic algorithm to calculate the actual data, and evaluate the effect from the demand and cost two aspects. The model deter-mines the number and location of required warehouses, the inventory level at each retailer. We analyze the current domestic automobile logistics policy and involved random variables in the mathematic part.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lu Qin AU - Ying Su PY - 2018/02 DA - 2018/02 TI - Strategy of Third-Party Automotive Logistics Distribution Network with Random Demand BT - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017) PB - Atlantis Press SP - 1053 EP - 1058 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesm-17.2018.194 DO - 10.2991/ifeesm-17.2018.194 ID - Qin2018/02 ER -