Research on Optimal Location of Logistics Distribution Center Based on the Improved Gray Relation

DOI

10.2991/essaeme-17.2017.405How to use a DOI?

Keywords

Gray relational analysis, Entropy weight method, Euclidean distance, Manhattan distance

Abstract

Based on the analysis of the existing logistics and distribution center location methods, this paper builds the evaluation index system of logistics and distribution center selection and establishes the gray relational location module as the model. It applies the improved entropy method to the evaluation index and the Euclidean distance is introduced. The optimal gray relational analysis method is used to obtain the optimal site. This paper is in combination with analysis and the results between the Euclidean distance and the Manhattan distance which shows that the method is effective and it improves the location efficiency. It is also suitable for practicing in other aspects of the location problem.

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  - Shuguo Zhang
AU  - Qian Li
PY  - 2017/07
DA  - 2017/07
TI  - Research on Optimal Location of Logistics Distribution Center Based on the Improved Gray Relation
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.405
DO  - 10.2991/essaeme-17.2017.405
ID  - Zhang2017/07
ER  -