Open AccessA Textile Manufacturing Information System with Exponential Smoothing Method
Author(s) -
Xi Cheng,
Bin Xiong,
Yan Shan Ye,
Huang Mei He,
Ni Ping Zhang,
Zne-Jung Lee
Publication year - 2022
Publication title -
artificial intelligence evolution
Language(s) - English
Resource type - Journals
eISSN - 2717-5952
pISSN - 2717-5944
DOI - 10.37256/aie.3120221343
Subject(s) - informatization , exponential smoothing , computer science , production (economics) , production manager , information system , smoothing , manufacturing engineering , information management , data management , industrial engineering , data mining , database , engineering , world wide web , electrical engineering , economics , computer vision , macroeconomics
The traditional textile industry is characterized by a discrete production pattern, because the manufacturing workshop and equipment are quite old, and the level of information construction is low. To assist textile enterprises in improving the construction of informatization, the utilization of production data, and production management efficiency, the textile manufacturing information system must strengthen data integration. In this paper, a textile manufacturing information system with the exponential smoothing method is proposed. The proposed textile manufacturing information system is to assist managers in making decisions, analyzing data, and providing a convenient platform for sharing information. It uses MySQL and MongoDB dual databases as data storage and uses Apache servers as web services. The front end uses Echarts technology to complete the data visualization. According to the shortcomings in its production management process, the following modules are designed around the needs of the enterprise: production management, equipment management, employee management, statistical information, and basic information maintenance. It also connects with the front-end data acquisition system and presents the data in a visual form to achieve real-time data monitoring of production. Furthermore, the proposed information system uses a single exponential smoothing method to predict production. From the experimental results, the single exponential smoothing method can well predict the trend of textile production output in a short term, and the results are more accurate than other approaches.