Multi Constrained Optimization model of Supply Chain Based on Intelligent Algorithm

DOI

10.2991/icamcs-16.2016.11How to use a DOI?

Keywords

Supply Chain,Intelligent Algorithm,Logistics

Abstract

In order to research the quality coordination mechanism of logistics service supply chain in condition of bounded rationality, based on research method of logistics supply chain optimization model of evolutionary game theory of intelligent algorithm, evolutionary game model for quality coordination of logistics service supply chain is built and also analyzed. The research results indicate: the factors affecting quality coordination of logistics service supply chain are coordination cost, extraneous income, default cost, excess earning, complaint probability, reputation loss and loss sharing coefficient. By adjusting the values of these parameters, the quality coordination of logistics service supply chain can be effectively facilitated.

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  - Juan Han
PY  - 2016/06
DA  - 2016/06
TI  - Multi Constrained Optimization model of Supply Chain Based on Intelligent Algorithm
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 47
EP  - 51
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.11
DO  - 10.2991/icamcs-16.2016.11
ID  - Han2016/06
ER  -