Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

State Grid Corporation based on big data platform for Overstaffing & Understaffing online analysis and Staff Allocation & Forecasting Research and Practice

Authors
Jian Zhang, Chengzhang Wang, Jianbo He, Wentao Liu, Han Shen
Corresponding Author
Jian Zhang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.285How to use a DOI?
Keywords
Human Resource, Overstaffing & Understaffing, Staff Allocation,Big Data.
Abstract

According to the principle of "uniform standard, uniform process, uniform platform, uniform configuration", abide by the State Grid Corporation SG-ERP technical architecture, the big data technology is applied to the area of State Grid corporation human resources management Overstaffing & Understaffing analysis, staff allocation and forecasting, which enhance the value of business data, strengthens the human resources management information system support capabilities for the business, lay the foundation for popularization and widely used in big data application of human resources.

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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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.285
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.285How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Jian Zhang
AU  - Chengzhang Wang
AU  - Jianbo He
AU  - Wentao Liu
AU  - Han Shen
PY  - 2017/04
DA  - 2017/04
TI  - State Grid Corporation based on big data platform for Overstaffing & Understaffing online analysis and Staff Allocation & Forecasting Research and Practice
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1465
EP  - 1470
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.285
DO  - 10.2991/fmsmt-17.2017.285
ID  - Zhang2017/04
ER  -