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投稿时间：2024-01-23
投稿时间：2024-01-23
中文摘要: 制造业数智化融合转型已成为传统制造企业高质量发展的重要推动力。文章厘清国内外学者关于制造业数智化融合转型的主要研究脉络与关键问题，提炼制造业数智化融合转型发展的目标要素、主体要素及影响因素，依据系统动力学的系统反馈原理构建制造业数智化融合转型发展的动力网络模型，分析系统各要素之间作用机理；在此基础上，建立了一套科学的融合评价指标体系，为进一步研究制造业数智化融合转型发展问题提供理论参考。
Abstract:The digital and intelligent integration transformation of manufacturing industry has become an important driving force for the high-quality development of traditional manufacturing enterprises. This study clarifies the main research context and key issues of scholars on the digital and intelligent integration transformation of manufacturing industry, refines the goals, main elements, and influencing factors of digital and intelligent integration transformation of manufacturing industry, builds a power network model for the transformation and development of digital and intelligent integration of manufacturing industry according to the system feedback principle of system dynamics, analyzes the mechanism of action between various elements of the system, and establishes a set of scientific integration evaluation index system on this basis. Thus, it provides a theoretical reference for further research on the transformation and development of digital and intelligent integration in manufacturing.
keywords: manufacturing industry digital and intelligent integration transformation key elements mechanism analysis evaluation indicators
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基金项目:山东省社会科学规划重点项目（23 BJMJ 01），山东省社会科学规划研究项目（22CGLJ14），山东省自然科学基金（ZR2020MG052），山东省重点研发计划（软科学项目）（2019RZB02017）
引用文本：
孙小强,高秀云,王玉梅*.制造业数智化融合转型发展的关键要素、机理分析及评价指标研究[J].中国科学院院刊,2024,39(2):323-332.
SUN Xiaoqiang,GAO Xiuyun,WANG Yumei*.Key elements, mechanism analysis and evaluation indicators of digital and intelligent integration transformation and development of manufacturing industry[J].Bulletin of Chinese Academy of Sciences,2024,39(2):323-332.
孙小强,高秀云,王玉梅*.制造业数智化融合转型发展的关键要素、机理分析及评价指标研究[J].中国科学院院刊,2024,39(2):323-332.
SUN Xiaoqiang,GAO Xiuyun,WANG Yumei*.Key elements, mechanism analysis and evaluation indicators of digital and intelligent integration transformation and development of manufacturing industry[J].Bulletin of Chinese Academy of Sciences,2024,39(2):323-332.
