工业4.0
分析
自动化
机器人学
大数据
颠覆性技术
颠覆性创新
业务
计算机科学
新兴技术
人工智能
数据科学
营销
工程类
机器人
制造工程
嵌入式系统
操作系统
机械工程
作者
Tsan‐Ming Choi,Subodha Kumar,Xiaohang Yue,Hau‐Ling Chan
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.
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