A Smart Sensors-based real-time decision making system for the Cold Supply Chain

DOI

10.2991/icmit-16.2016.128How to use a DOI?

Keywords

Smart sensor; Intelligent Decision support System; Dynamic weight Dijkstra algorithm; Cold Chain Logistis

Abstract

Real-time monitoring of the cold chain logistics and timely decision-making are important means to ensure the quality of the cold supply chain. Therefore, this paper design a smart temperature and humidity tag with ad-hoc network, which can realize regular monitoring of temperature and humidity inside the cold chain logistics vehicles. Besides, based on the smart sensor this paper proposes a decision making system can real time acquire vehicle location information and make the necessary decisions on vehicle routing. According to the transportation time, temperature and humidity the system can predict the quality change trend of cold supply chain products. Finally, experiments show that the intelligent decision system proposed in this paper can effectively manage the cold chain products and provide the effective basis for the safety of cold chain products, thereby it can reduce the waste of the cold chain products and the economic loss of the cold chain logistics.

Copyright

© 2016, 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  - Jinlong Luo
AU  - Jianjun Yi
AU  - Xiaomin Zhu
AU  - Jun Xu
PY  - 2016/04
DA  - 2016/04
TI  - A Smart Sensors-based real-time decision making system for the Cold Supply Chain
BT  - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SP  - 714
EP  - 719
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.128
DO  - 10.2991/icmit-16.2016.128
ID  - Luo2016/04
ER  -