Artificial intelligence for operational excellence in operations management: a systematic literature review and classification framework in manufacturing
系统梳理了67篇同行评审论文，分类了人工智能在制造业运营管理中实现卓越运营的应用，为学者提供研究议程，为管理者提供实践指导。
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.