The Research of Order Prediction Model for Textile Machinery Manufacturing Enterprise Based on Customer Demand

DOI

10.2991/amcce-15.2015.367How to use a DOI?

Keywords

Order prediction; Improved time series; Customer demand

Abstract

With the development of information technology, textile machinery manufacturing enterprises (TMME) are facing the new situation of “Two Integration”, in order to better responding to market customer demand (CD), the order prediction is becoming more and more important. The background of product model of TMME is different from other manufacturing enterprise, the CD information about TMME is full of diversity, fuzziness and concealment. In this paper, an order prediction model for TMME is constructed by combining the CD with improved time series, also it has been applied and verified in an actual enterprise.

Copyright

© 2015, 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  - Xixing Li
AU  - Shunsheng Guo
AU  - Lei Wang
AU  - Zhen Li
PY  - 2015/04
DA  - 2015/04
TI  - The Research of Order Prediction Model for Textile Machinery Manufacturing Enterprise Based on Customer Demand
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.367
DO  - 10.2991/amcce-15.2015.367
ID  - Li2015/04
ER  -