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The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review
Department of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman, Kajang, Malaysia.
Department of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman, Kajang, Malaysia ; Mechanical Engineering Programme, University of Technology Sarawak, Sibu, Malaysia.
School of Economics and Business, Kaunas University of Technology, Lithuania ; Graduate School of Business, Universiti Sains Malaysia, Gelugor, Malaysia.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University, Sweden. (Production and Automation Engineering)ORCID iD: 0000-0001-5530-3517
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2022 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 14, no 7, p. 1-21, article id 4327Article, review/survey (Refereed) Published
Abstract [en]

Industry 4.0 has been associated with the rise of disruptive intelligence and informationtechnologies. These cutting-edge technologies have the potential to increase productivity whilesimultaneously having a significant impact on social and environmental sustainability. As a result,manufacturers must evaluate the role of these innovative technologies in sustainable development,as these technologies have the potential to address prevalent sustainability issues. A content-centricstudy of the implementation of these Industry 4.0 cutting-edge technologies in sustainable manufacturing is currently absent. A systematic literature study was conducted to explain the potentialcontribution of these novel technologies to the economic, social, and environmental dimensions ofmanufacturing industries. This study describes how these cutting-edge technologies are used insustainable manufacturing. The findings of this study are particularly beneficial to practitioners whoseek to apply one or more digital technologies to sustainable development.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 14, no 7, p. 1-21, article id 4327
Keywords [en]
Industry 4.0, manufacturing systems, digital technologies
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-21036DOI: 10.3390/su14074327ISI: 000782079200001Scopus ID: 2-s2.0-85128450896OAI: oai:DiVA.org:his-21036DiVA, id: diva2:1650094
Note

CC BY 4.0

Correspondence: ngtc@utar.edu.my

This research received no external funding.

Available from: 2022-04-06 Created: 2022-04-06 Last updated: 2024-04-11Bibliographically approved

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Fathi, Masood

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