Research on Logistic Management Quality Evaluation Based on Support Vector Machine

DOI

10.2991/nceece-15.2016.105How to use a DOI?

Keywords

Logistics management; Quality evaluation; Support vector machine

Abstract

For making feasible logistics management come true, fully using data resources, and establishing in line with the development of a healthy enterprise logistics management mode, this paper puts forward a new analysis model for evaluating the quality level of logistics management based on support vector machine theory. By analyzing the influence factors in the logistics business process, the proposed model predicts management efficiency of logistics operations implementation, and provide theoretical support for logistics management system optimization. The support vector machine is of accuracy and efficiency, which is effective for the quality evaluation of logistics management.

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  - Ya-qing Deng
AU  - Shuang Yu
AU  - Ning Wang
PY  - 2015/12
DA  - 2015/12
TI  - Research on Logistic Management Quality Evaluation Based on Support Vector Machine
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 563
EP  - 567
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.105
DO  - 10.2991/nceece-15.2016.105
ID  - Deng2015/12
ER  -