作者
Naeem Iqbal, Anam-Nawaz Khan, Atif Rizwan, Faiza Qayyum, Sehrish Malik, Rashid Ahmad, Do-Hyeun Kim
发表日期
2022/7/1
期刊
Journal of Manufacturing Systems
卷号
64
页码范围
19-39
出版商
Elsevier
简介
Smart manufacturing has great potential for developing customized products to meet the dynamic needs of customers and a collaborative network to enhance production efficiency. It is an emerging area with the revolution of business strategies, such as Industry 4.0 and Industrial Internet of the United States of America. IIoT and data-driven technologies, such as AI and ML, have leveraged the production environment by facilitating mass personalized customization of products and improving manufacturing processes collaboratively. However, these technologies are segregated and dispersed in the digitization of manufacturing products and automation of machines in existing manufacturing processes. Therefore, it is a leverage challenge to develop an integrated solution based on IIoT and data-driven technologies for an autonomous manufacturing environment. This research study presents an integrated solution …
引用总数