Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research
Journal article
Authors | Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, Anil Kumar, Vikas Kumar and Garza-Reyes, J. |
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Abstract | The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data generated from different types of manufacturing operations. The present study, therefore, aims to conduct a systematic and bibliometric-based review in the applications of machine learning (ML) techniques for sustainable manufacturing (SM). In the present study, we use a bibliometric review approach that is focused on the statistical analysis of published scientific documents with an unbiased objective of the current status and future research potential of ML applications in sustainable manufacturing. The present study highlights how manufacturing industries can benefit from ML techniques when applied to address SM issues. Based on the findings, a ML-SM framework is proposed. The framework will be helpful to researchers, policymakers and practitioners to provide guidelines on the successful management of SM practices. A comprehensive and bibliometric review of opportunities for ML techniques in SM with a framework is still limited in the available literature. This study addresses the bibliometric analysis of ML applications in SM, which further adds to the originality |
Keywords | Sustainable manufacturing; Data analytics; machine learning; manufacturing systems; bibliometric review |
Year | 2021 |
Journal | Journal of Enterprise Information Management |
Publisher | Emerald |
ISSN | 1741-0398 |
Digital Object Identifier (DOI) | https://doi.org/10.1108/jeim-09-2020-0361 |
Web address (URL) | https://www.emerald.com/insight/content/doi/10.1108/JEIM-09-2020-0361/full/html |
Output status | Published |
Publication dates | 08 Mar 2022 |
Publication process dates | |
Accepted | Apr 2021 |
Deposited | 07 May 2021 |
Rights | CC0 1.0 Universal |
Contributors | Malaviya National Institute of Technology, Jaipur, India, London Metropolitan University, University of the West of England and University of Derby |
File | File Access Level Open |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/92x0q/machine-learning-applications-for-sustainable-manufacturing-a-bibliometric-based-review-for-future-research
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