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Cited by 396

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review

Open access
Phuyal, Sudip, Bista, Diwakar, Bista, Rabindra·2020·Sustainable Futures

Abstract

Smart manufacturing is the technology utilizing the interconnected machines and tools for improving manufacturing performance and optimizing the energy and workforce required by the implementation of bigdata processing, artificial intelligence and advanced robotics technology and interconnectivity of them. This paper defines and discusses the smart manufacturing system and states it current implementation status and analyzes the gap between current manufacturing system and the predicted future smart manufacturing system, discusses the technologies associated with it and their contribution in smart manufacturing technology. Also, to realize this rapidly growing technology and cover its all dimensions a survey of the latest developments in this field and its impacts were analyzed and presented along with the challenges of implementation, opportunities and the future directions for smart manufacturing system.

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Registry

Crossref · 10.1016/j.sftr.2020.100023

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Metadata

Authors
Phuyal, S., Bista, D., & Bista, R.
Venue
Sustainable Futures
Publisher
Elsevier BV
Published
2020
Volume
2
Pages
100023
ISSN
2666-1888 (ISSN-L)
OpenAlex
W3023264563
Cited by
396
References
85
FWCI
27.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review. https://app.cochat.ai/papers/10.1016/j.sftr.2020.100023
The paper
Phuyal, S., Bista, D., & Bista, R. (2020). Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review. Sustainable Futures. https://doi.org/10.1016/j.sftr.2020.100023

Data sources

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.