有可能
持续性
先进制造业
背景(考古学)
制造业
知识管理
制造工程
过程管理
工业4.0
自动化
综合计算机辅助制造
工程管理
业务
工程类
计算机科学
营销
机械工程
生物
心理学
嵌入式系统
古生物学
心理治疗师
生态学
作者
Shiyan Liu,Pengyue Li,Jinfeng Wang,Peng Liu
出处
期刊:Heliyon
[Elsevier]
日期:2024-07-26
卷期号:10 (15): e35162-e35162
标识
DOI:10.1016/j.heliyon.2024.e35162
摘要
The advancement of intelligent manufacturing technology in the era of Industry 5.0 has propelled the intelligence and automation of manufacturing production, while also exerting a significant impact on sustainable development of the manufacturing industry. However, the challenges and enablers faced by the transformation of intelligent manufacturing technology in the context of sustainable development of Industry 5.0 are still unclear. Based on literature review and expert opinions, this study uses the Likert scale to determine the challenges and enablers of the implementation of intelligent manufacturing technology in social, environmental and economic sustainability. The fuzzy-DEMETAL and AISM are used to analyze the logical relationship and hierarchical relationship between the above factors, and the MICMAC matrix is used to determine the key influencing factors. The research conclusions show that the most important challenges affecting the implementation of intelligent manufacturing technology are cost and funding, and the most important enabler is social benefits and public service improved. This research will provide insights for industry practitioners and decision makers in the management and decision-making process of implementing the transformation and upgrading of manufacturing intelligent manufacturing, thereby enhancing the sustainability of manufacturing development.
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