The Route Optimization of Multi-temperature Joint Distribution for Cold-Chain Products under the Condition of Random Driving Time

DOI

10.2991/iceemr-17.2017.42How to use a DOI?

Keywords

Random travel time, multi-temperature co-distribution, path optimization

Abstract

In this paper, the problems of random travel time and cold-chain varieties and temperature difference in urban cold chain logistics distribution system are studied. First, we use the cold-accumulating multi-temperature co-distribution to distribute cold chain products with different temperature layers. Then, the vehicle travel time period under different road conditions is treated as a random variable subject to the known distribution, and the random path optimization of the multi-temperature cold chain product based on the minimum distribution cost is constructed. In this paper, in addition to the study of time window constraints, the study of the rejection of goods because of cargo damage rate is also studied, so that delivery costs are better and more practical; finally, an example is used to verify the effectiveness of the model. Our results show that the model can be a good application in the dynamic environment of multi-temperature cold chain product optimization, with a certain degree of flexibility.

Copyright

© 2017, 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  - Guiwu Huang
AU  - Renshan Lu
PY  - 2017/05
DA  - 2017/05
TI  - The Route Optimization of Multi-temperature Joint Distribution for Cold-Chain Products under the Condition of Random Driving Time
BT  - Proceedings of the 2017 International Conference on Education, Economics and Management Research (ICEEMR 2017)
PB  - Atlantis Press
SP  - 163
EP  - 166
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemr-17.2017.42
DO  - 10.2991/iceemr-17.2017.42
ID  - Huang2017/05
ER  -