系统回顾
卓越运营
人工智能应用
计算机科学
工程类
管理科学
制造工程
卓越
人工智能
系统工程
工程管理
专家系统
组分(热力学)
知识管理
过程管理
市场营销与人工智能
作者
Luca Martuscelli,Italo Cesidio Fantozzi,Leonardo Leoni,Massimiliano M. Schiraldi
标识
DOI:10.1080/09537287.2026.2638482
摘要
In an increasingly competitive industrial landscape, digital transformation is essential for sustaining performance, with Artificial Intelligence (AI) positioned as a core technology of Industry 4.0. While research has highlighted the transformative role of AI, its specific contributions to Operational Excellence (OpEx) within Operations Management (OM) remain underexplored. Existing reviews group AI with broader digital technologies or address its adoption drivers, but few systematically examine how AI is practically applied to achieve excellence. To address this gap, this study conducts a systematic literature review to capture and classify AI-driven OpEx applications within OM in the manufacturing sector. 67 peer-reviewed articles were analysed, mapping where AI is most frequently applied across operational domains and clarifying the functions through which it contributes to excellence. The resulting classification framework bridges theory and practice, offering scholars a structured research agenda and providing managers with actionable insights on how to leverage AI for OpEx in manufacturing.
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