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基于改进熵权TOPSIS的钢铁行业设备上云效果评价研究

王典威 周纯浩 周扬 施永昌 贾晓亮

现代制造工程Issue(8):27-34,8.
现代制造工程Issue(8):27-34,8.DOI:10.16731/j.cnki.1671-3133.2024.08.004

基于改进熵权TOPSIS的钢铁行业设备上云效果评价研究

Research on equipment cloudification effect evaluation in steel industry based on improved entropy weight TOPSIS

王典威 1周纯浩 2周扬 3施永昌 3贾晓亮4

作者信息

  • 1. 西北工业大学机电学院,西安 710072||中国电子技术标准化研究院,北京 100007
  • 2. 江苏赛西科技发展有限公司,苏州 215000
  • 3. 中国电子技术标准化研究院华东分院,苏州 215000
  • 4. 西北工业大学机电学院,西安 710072
  • 折叠

摘要

Abstract

To accurately evaluate the effects of economic,environmental protection,and capacity improvement achieved by the e-quipment cloudification,solve the problem of lacking evaluation methods for equipment cloudification effects,enterprises generally rely on expert experience or economic indicators to evaluate equipment cloudification effect,resulting in strong subjectivity,single dimensionality,and inaccurate evaluation.An equipment cloudification effect evaluation index system for the steel industry has been established based on three dimensions of equipment access,equipment service and overall revenue.An improved entropy weight TOPSIS method is proposed to set indicator weights more accurately,and fuzzy comprehensive evaluation methods are ap-plied to calculate cloudification effect scores.An equipment cloudification effect evaluation system for the steel industry is con-structed to provide self-evaluation for steel enterprises,and select 5 typical enterprises'data to verified that this method can help enterprises evaluate the effect of equipment cloudification and guide enterprises to scientifically carry out equipment cloudification work.

关键词

钢铁行业/设备上云/效果评价/改进熵权TOPSIS/评价模型

Key words

steel industry/equipment cloudification/effect evaluation/improved entropy weight TOPSIS/evaluation model

分类

信息技术与安全科学

引用本文复制引用

王典威,周纯浩,周扬,施永昌,贾晓亮..基于改进熵权TOPSIS的钢铁行业设备上云效果评价研究[J].现代制造工程,2024,(8):27-34,8.

基金项目

国家自然科学基金面上项目(52075452) (52075452)

江苏省工业互联网评定标准化项目(JITC-1900AX2038/04) (JITC-1900AX2038/04)

陕西省重点研发计划项目(2023-YBGY-381) (2023-YBGY-381)

现代制造工程

OA北大核心CSTPCD

1671-3133

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