Strategy of Third-Party Automotive Logistics Distribution Network with Random Demand

DOI

10.2991/ifeesm-17.2018.194How to use a DOI?

Keywords

Distribution Network, 3PL, Automotive Logistics

Abstract

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.

Copyright

© 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/).

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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  -