Advancements and Enhancements in the Era of Industry 5.0
Neeraj Kumar Sharma (),
Sushil Kumar Maurya () and
Sandeep Sharma ()
Additional contact information
Neeraj Kumar Sharma: Greater Noida Institute of Technology
Sushil Kumar Maurya: GNIOT MBA Institute
Sandeep Sharma: Swiss School of Applied Sciences for Economics and Management
A chapter in Building a Human-Centred Infrastructure for Sustainable Industry 5.0 in Asia, 2025, pp 1-23 from Springer
Abstract:
Abstract As technology continues to reshape industries, the shift from Industry 4.0 to Industry 5.0 brings a new focus: putting people back at the center of innovation. While Industry 4.0 introduced powerful tools like artificial intelligence, automation, and big data to improve efficiency and productivity, it also raised concerns about job displacement, complex integration, and data security. Industry 5.0 builds on these advances, but with a stronger emphasis on collaboration between humans and machines. It promotes systems that are not only smart but also supportive of human creativity, safety, and sustainability. This paper explores how Industry 5.0 can address the key challenges left behind by Industry 4.0. It looks at new solutions such as personalized manufacturing, predictive maintenance, and the use of collaborative robots (COBOTs), which are designed to work alongside people—not replace them. By examining these developments, especially in the context of rapidly changing economies like those in the Asia–Pacific region, this research aims to offer insights into creating a future where innovation benefits both industry and society as a whole.
Keywords: AI; ML; Industry 4.0; Industry 5.0; COBOTs (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-0417-6_1
Ordering information: This item can be ordered from
http://www.springer.com/9789819504176
DOI: 10.1007/978-981-95-0417-6_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().