About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Production Enterprise Operation Information Decision Analysis Based on Data Feature Analysis

Download378 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334220,
        author={Aixin  Hou and Jiao  Han and Huan  Du and Ying  Li and Yujie  Hu},
        title={Production Enterprise Operation Information Decision Analysis Based on Data Feature Analysis},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={production enterprise operation index digital model characteristic index},
        doi={10.4108/eai.19-5-2023.2334220}
    }
    
  • Aixin Hou
    Jiao Han
    Huan Du
    Ying Li
    Yujie Hu
    Year: 2023
    Production Enterprise Operation Information Decision Analysis Based on Data Feature Analysis
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334220
Aixin Hou1, Jiao Han1,*, Huan Du1, Ying Li1, Yujie Hu1
  • 1: Liaoning Institute of Science and Technology
*Contact email: hanjiao_paper@163.com

Abstract

With the advent of the era of big data, digital technologies such as the industrial Internet, big data, artificial intelligence, and cloud computing have been popularized. Digitalization and technological innovation have injected new impetus into economic and social development, have greatly improved information processing capacity and efficiency of information use, and have become a new engine driven by innovation. Manufacturing enterprises need to make operational information decisions to eliminate externalities and uncertainties when carrying out technological innovation activities. It needs to constantly increase financial support, and establish and improve R & D support system to improve the ability of independent innovation of enterprises. However, the low conversion rate and low efficiency of resource utilization are still the problems faced in the process of technological innovation. By analyzing the characteristics of data information in the operation of manufacturing enterprises, this paper matches the characteristics of operation indicators with the characteristics of enterprise products and completes the decision-making and positioning prediction of products.

Keywords
production enterprise operation index digital model characteristic index
Published
2023-07-24
Publisher
EAI
http://dx.doi.org/10.4108/eai.19-5-2023.2334220
Copyright © 2023–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL