How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?

• 成果类型: Article
• 署名作者: Mithas, Sunil; Chen, Zhi-Long; Saldanha, Terence J., V; Silveira, Alysson De Oliveira
• 署名单位: State University System of Florida; University of South Florida; University System of Maryland; University of Maryland College Park; University System of Georgia; University of Georgia
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13864
• 发表日期: 2022
• 页码: 4475-4487
• 关键词: reducing hospital readmissions; information-technology; EMPIRICAL-RESEARCH; supply chain; big data; strategy; field; sustainability; Blockchain; INNOVATION

摘要

Emerging technologies such as artificial intelligence, blockchain, additive manufacturing, advanced robotics, autonomous vehicles, and the Internet of Things are frequently mentioned as part of Industry 4.0. As such, how will they influence operations and supply chain management? We answer this question by providing a brief review of the evolution of technologies and operations management (OM) over time. Because terms such as Industry 4.0 do not have a precise definition, we focus on more fundamental issues raised by Industry 4.0 emerging technologies for research in OM. We propose a theory of disruptive debottlenecking and the SACE framework by classifying emerging technologies in terms of the functionalities they enable: sense, analyze, collaborate, and execute. Subsequently, we review the nascent but rapidly growing literature at the interface between digital technologies and OM. Our review suggests that one way to assess the value of Industry 4.0 technologies can be via their influence on adding revenues, differentiating, reducing costs, optimizing risks, innovating, and transforming business models and processes. Finally, we conclude by proposing an agenda for further research.