How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?. Issue 12 (19th October 2022)

• Record Type: Journal Article
• Authors: Mithas, Sunil; Chen, Zhi‐Long; Saldanha, Terence J.V.; De Oliveira Silveira, Alysson
• Is Part Of: Production and operations management. Volume 31:Issue 12(2022)
• Page Start: 4475
• Page End: 4487
• Publication Date: 2022-10-19
• Subjects: 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); Production management -- Periodicals; 658.505
• DOI: 10.1111/poms.13864
• Languages: English
• ISSNs: 1059-1478

Abstract

Abstract: 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.