Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)

Research on Selection and Configuration Optimization of Intelligent Express Cabinets Based on K-Means Cluster Analysis*

Authors
Bo Wei
Corresponding Author
Bo Wei
Available Online 7 January 2020.
DOI
10.2991/aebmr.k.191225.062How to use a DOI?
Keywords
express cabinets, size ratio, K-means clustering
Abstract

The size and configuration ratio of intelligent express cabinets directly affect the use turnover efficiency and customer satisfaction of express cabinets. Taking the cabinet ratio of express cabinets as the research direction, this article investigates the delivery situation of courier in different regions and uses SPSS software to perform K-means clustering to obtain the size ratio of cabinets for express cabinets in different regions to meet the various demands of customers.

Copyright
© 2020, 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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Volume Title
Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
7 January 2020
ISBN
10.2991/aebmr.k.191225.062
ISSN
2352-5428
DOI
10.2991/aebmr.k.191225.062How to use a DOI?
Copyright
© 2020, 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/).

Cite this article

TY  - CONF
AU  - Bo Wei
PY  - 2020
DA  - 2020/01/07
TI  - Research on Selection and Configuration Optimization of Intelligent Express Cabinets Based on K-Means Cluster Analysis*
BT  - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
PB  - Atlantis Press
SP  - 354
EP  - 357
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191225.062
DO  - 10.2991/aebmr.k.191225.062
ID  - Wei2020
ER  -