Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond

• 成果类型: Article
• 署名作者: Choi, Tsan-Ming; Kumar, Subodha; Yue, Xiaohang; Chan, Hau-Ling
• 署名单位: National Taiwan University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; University of Wisconsin System; University of Wisconsin Milwaukee; Hong Kong Polytechnic University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13622
• 发表日期: 2022
• 页码: 9-31
• 关键词: big data; incomplete contracts; information-systems; models

摘要

In the Industry 4.0 era, automation and data analytics emerge as the major forces to enhance efficiency in operations management (OM). Disruptive technologies, such as artificial intelligence, robotics, blockchain, 3D printing, 5G, Internet-of-Thing, digital twins, and augmented reality, are widely applied. They potentially will bring a radical change to real world operations. In this study, we first explore several major disruptive technologies, examine the corresponding OM studies, and highlight their current applications in the industry. Then, we discuss the pros and cons associated with the use of these technologies and uncover the potential human-machine conflicting areas. After that, we propose measures which may be able to achieve human-machine reconciles in the coming Industry 5.0 era. A concept of sustainable social welfare which includes worker welfare, privacy, etc. is proposed and the roles played by policy makers are also discussed. Finally, a future research agenda, which covers topics in both the Industry 4.0 and Industry 5.0 eras, is established.