The Research of Order Prediction Model for Textile Machinery Manufacturing Enterprise Based on Customer Demand
Xixing Li, Shunsheng Guo, Lei Wang, Zhen Li
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.367How to use a DOI?
- Order prediction; Improved time series; Customer demand
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/amcce-15.2015.367 ID - Li2015/04 ER -