OM Forum-Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community
成果类型：
Article
署名作者：
Cohen, Maxime C.; Dai, Tinglong; Perakis, Georgia; Agrawal, Narendra; Allon, Gad; Boute, Robert N.; Cachon, Gerard P.; Chen, Zhe; Cohen, Morris; Cristian, Rares; Deshpande, Vinayak; de Vericourt, Francis; Fransoo, Jan C.; Gijsbrechts, Joren; Harsha, Pavithra; Hu, Ming; Keskinocak, Pinar; Kwon, Caleb; Lee, Hau; Liu, Sheng; Mellou, Konstantina; Menache, Ishai; Miller, Jason; Netessine, Serguei; Olsen, Tava Lennon; Pathuri, Jeevan; Peels, Robert; Raman, Ananth; Qi, Yongzhi; Robinson, Anne; Shen, Zuo-Jun Max; Shunko, Masha; Simchi-Levi, David; Smalley, Hannah; Song, Jing-Sheng; Swaminathan, Jayashankar M.; Tang, Christopher; Tayur, Sridhar; Udenio, Maxi; Van Mieghem, Jan; Xu, Yuqian; Zhang, Dennis
署名单位：
McGill University; Johns Hopkins University; Massachusetts Institute of Technology (MIT); Santa Clara University; University of Pennsylvania; Vlerick Business School; KU Leuven; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine; Tilburg University; Universitat Ramon Llull; Escuela Superior de Administracion y Direccion de Empresas (ESADE); University of Toronto; University System of Georgia; Georgia Institute of Technology; University of Texas System; University of Texas Austin; Stanford University; Microsoft; Michigan State University; University of Melbourne; Spaarne Hospital; Harvard University; Lingnan University; University of Washington; University of Washington Seattle; Duke University; University of California System; University of California Los Angeles; Carnegie Mellon University; Northwestern University; Washington University (WUSTL)
刊物名称：
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
ISSN/ISSBN：
1523-4614
DOI：
10.1287/msom.2025.1065
发表日期：
2026
关键词：
摘要：
Problem definition: Artificial intelligence (AI) is rapidly transforming the research and practice of supply chain management. Yet its impact depends on how effectively it is integrated with the theories, methods, and fundamental principles of operations management (OM), which must also evolve to account for the informational, incentive, and institutional changes brought by AI. The OM community has an important role and responsibility to lead in shaping not only how AI transforms supply chains but also how the supply chains that enable AI are designed to be sustainable, resilient, and equitable. Methodology/results: This vision statement organizes the discussion around five layers of the interaction between AI and supply chain management: intelligence, execution, strategy, human, and infrastructure. It synthesizes recent research and industry practice to show how AI enhances forecasting, planning, decision making, risk management, and human-machine collaboration and also examines the supply chains that support AI. Finally, it highlights persistent challenges in data quality, model integration, governance, and workforce adaptation. Managerial implications: Realizing AI's promise in supply chain management requires reliable data and infrastructure, integration of learning and optimization, transparent and explainable decision systems, and a long-term commitment to human-AI collaboration. Together, these elements form the foundation for resilient, adaptive, and trustworthy supply chains in the AI era.