Research on Inventory Management Based on Gray Forecasting

DOI

10.2991/wartia-16.2016.53How to use a DOI?

Keywords

Inventory Management, Gray Forecasting, Gray Model

Abstract

Gray prediction is mainlydeveloped to study uncertainties of “small samples” and “poor information”. Gray forecastmodel is one of the most important part grey system theory. This paper applies for the gray model prediction to forecastA product demand in every month of 2016. On the basis of the prediction, this paper gives a systematic method to decrease the inventory in S company. The research result of this paper has important implications for improving the inventory management level of S company and other automobile part producers.

Copyright

© 2016, 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  - Zonghan Li
PY  - 2016/05
DA  - 2016/05
TI  - Research on Inventory Management Based on Gray Forecasting
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 277
EP  - 281
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.53
DO  - 10.2991/wartia-16.2016.53
ID  - Li2016/05
ER  -