Research on Slow Moving Spare Parts Demand Prediction in Navigation Mark Based on SES Method
Authors
Lei Feng
Corresponding Author
Lei Feng
Available Online May 2017.
- 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/).
Cite this article
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 -