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

被引:85
|
作者
Mithas, Sunil [1 ]
Chen, Zhi-Long [2 ]
Saldanha, Terence J., V [3 ]
Silveira, Alysson De Oliveira [1 ]
机构
[1] Univ S Florida, Muma Coll Business, Sch Informat Syst & Management, Tampa, FL 33620 USA
[2] Univ Maryland, Robert H Smith Sch Business, Dept Decis Operat & Informat Technol, College Pk, MD 20742 USA
[3] Univ Georgia, Terry Coll Business, Dept Management Informat Syst, Athens, GA 30602 USA
关键词
artificial intelligence (AI); business excellence; digital transformation; governance; Industry; 4.0; information technology (IT); operations; supply chain management; strategy; blockchain; additive manufacturing; internet of things (IOT); REDUCING HOSPITAL READMISSIONS; INFORMATION-TECHNOLOGY; EMPIRICAL-RESEARCH; SUPPLY CHAIN; BIG DATA; STRATEGY; FIELD; SUSTAINABILITY; BLOCKCHAIN; INNOVATION;
D O I
10.1111/poms.13864
中图分类号
T [工业技术];
学科分类号
08 ;
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.
引用
收藏
页码:4475 / 4487
页数:13
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