Research on Slow Moving Spare Parts Demand Prediction in Navigation Mark Based on SES Method

DOI

10.2991/icaset-17.2017.36How to use a DOI?

Keywords

Navigation mark, Slow moving spare parts, Battery, SES

Abstract

This paper aims to study the slow moving spare parts demand prediction in navigation mark. Firstly, it analyzes characteristics of navigation mark spare parts and focuses on the demand prediction of slow moving spare parts. Then, SES method is adopted to study on batteries demand prediction of navigation marks in Wuhan Waterway Bureau. At last, the research method and calculating results are proved to be effective through actual application.

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  - Lei Feng
PY  - 2017/05
DA  - 2017/05
TI  - Research on Slow Moving Spare Parts Demand Prediction in Navigation Mark Based on SES Method
BT  - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
PB  - Atlantis Press
SP  - 192
EP  - 196
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-17.2017.36
DO  - 10.2991/icaset-17.2017.36
ID  - Feng2017/05
ER  -