The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability
Open accessAbstract
Industry 4.0 technologies provide critical perspectives for future innovation and business growth. Technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data, Machine Learning (ML), and other advanced upcoming technologies are being used to implement Industry 4.0. This paper explores how Industry 4.0 technologies help create a sustainable environment in manufacturing and other industries. Industry 4.0 technologies and the crucial interrelationships through advanced technologies should impact the environment positively. In the age of Industry 4.0, manufacturing is tightly interlinked with information and communication systems, making it more scalable, competitive, and knowledgeable. Industry 4.0 provides a range of principles, instructions, and technology for constructing new and existing factories, enabling consumers to choose different models at production rates with scalable robotics, information, and communications technology. This paper aims to study the significant benefits of Industry 4.0 for sustainable manufacturing and identifies tools and elements of Industry 4.0 for developing environmental sustainability. This literature review-based research is undertaken to identify how Industry 4.0 technologies can help to improve environmental sustainability. It also details the capabilities of Industry 4.0 in dealing with environmental aspects. Twenty major applications of Industry 4.0 to create a sustainable environment are identified and discussed. Thus, it gives a better understanding of the production environment, the supply chains, the delivery chains, and market results. Overall, Industry 4.0 technology seems environmentally sustainable while manufacturing goods with better efficiency and reducing resource consumption.
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Cites
Industry 4.0: A survey on technologies, applications and open research issues
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Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0
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Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
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Circular economy meets industry 4.0: Can big data drive industrial symbiosis?
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Alaghemandi, M. (2024) · Sustainability · doi:10.3390/su162310401 · Cited by 163
Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes
Chokkakula, S., Chong, S., Yang, B., Jiang, H., Yu, J., Han, R., Attitalla, I. H., Yin, C., & Zhang, S. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1517981 · Cited by 12
Metadata
- Authors
- Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S.
- Venue
- Sustainable Operations and Computers
- Publisher
- Elsevier BV
- Published
- 2022
- Volume
- 3
- Pages
- 203-217
- ISSN
- 2666-4127 (ISSN-L)
- OpenAlex
- W4226256571
- Cited by
- 859
- References
- 15
- FWCI
- 84.61
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.