Special Issue
Topic: Convenient, Reliable, Green Innovation of Assembly Technology in the Age of Artificial Intelligence
A Special Issue of Green Manufacturing Open
ISSN 2835-7590 (Online)
Submission deadline: 31 Jul 2025
Guest Editors
Guest Editor Assistant
Special Issue Introduction
Since the 21st century, the relationship between social development and environmental change has become an important topic of common reflection for humankind. The environmental impact of the manufacturing industry has aroused strong concern. In response, the environment-friendly manufacturing principle urges enterprises to mitigate environmental pollution and resource waste caused by the manufacturing process, promoting a shift towards green and sustainable manufacturing. Assembly is the final part of the equipment manufacturing process. For large-scale equipment such as aircraft and ships, the assembly process can account for over half of the entire production cycle. With the requirements of green manufacturing, assembly technologies are undergoing transformative innovation. The emergence and rapid development of artificial intelligence (AI) provides a strong basic support and means of realization for the change of assembly technology.
The Special Issue, "Convenient, Reliable, Green Innovation of Assembly Technology in the Age of Artificial Intelligence", explores the innovation of assembly technology brought about by AI in the manufacturing industry. The featured papers cover a range of topics, including but not limited to assembly process design methods using machine learning, virtual assembly experiments using digital twins, and AI-driven monitoring and optimization of assembly results. Together, these contributions highlight innovations that make assembly more efficient, reliable, and environmentally friendly. Overall, this Special Issue provides valuable insights and practical guidance to researchers, practitioners, and decision-makers seeking to realize cost reduction, reliability enhancement, and green transformation of assembly technologies.
Keywords
Submission Deadline
Submission Information
Ten articles in the Special Issue are exempt from article processing charges.
For Author Instructions, please refer to https://www.oaepublish.com/gmo/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=gmo&IssueId=gmo2507312234
Submission Deadline: 31 Jul 2025
Contacts: Lily Ji, Assistant Editor, gmo@oaemesas.com