Liu Shiyan, Li Pengyue, Wang Jinfeng, Liu Peng
School of Management, Zhengzhou University, Zhengzhou 450001, China.
China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China.
Heliyon. 2024 Jul 25;10(15):e35162. doi: 10.1016/j.heliyon.2024.e35162. eCollection 2024 Aug 15.
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.
工业5.0时代智能制造技术的进步推动了制造生产的智能化和自动化,同时也对制造业的可持续发展产生了重大影响。然而,在工业5.0可持续发展背景下,智能制造技术转型所面临的挑战和推动因素仍不明确。基于文献综述和专家意见,本研究采用李克特量表来确定智能制造技术在社会、环境和经济可持续性方面实施的挑战和推动因素。运用模糊DEMETAL和AISM分析上述因素之间的逻辑关系和层次关系,并使用MICMAC矩阵确定关键影响因素。研究结论表明,影响智能制造技术实施的最重要挑战是成本和资金问题, 最重要的推动因素是社会效益和公共服务的改善。本研究将为行业从业者和决策者在实施制造业智能制造转型升级的管理和决策过程中提供见解,从而增强制造业发展的可持续性。