A Bibliometric Analysis on Optimization Solution Methods Applied to Supply Chain of Solar Energy

Rahimi, I; Nematian, J

A Bibliometric Analysis on Optimization Solution Methods Applied to Supply Chain of Solar Energy

Rahimi, I Nematian, J

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Publisher:: Springer
Publication Type:: Journal Article
Citation:: Archives of Computational Methods in Engineering, 2022, 29, (6), pp. 4213-4231
Issue Date:: 2022-04-04

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Field	Value	Language
dc.contributor.author	Rahimi, I
dc.contributor.author	Nematian, J
dc.date.accessioned	2023-03-26T22:13:35Z
dc.date.available	2023-03-26T22:13:35Z
dc.date.issued	2022-04-04
dc.identifier.citation	Archives of Computational Methods in Engineering, 2022, 29, (6), pp. 4213-4231
dc.identifier.issn	1134-3060
dc.identifier.issn	1886-1784
dc.identifier.uri	http://hdl.handle.net/10453/168440
dc.description.abstract	This study shows a review and brief analysis of the most concepts and models in the supply chain of solar energy. The presented work of this study possesses two parts. In the first section, a brief introduction on supply chain of solar energy is addressed and then, in the second part, a detailed bibliometric analysis is performed on supply chain of solar energy. The bibliometric analysis has been performed as an influential tool for using in scientometrics and reviews, which for this aim, keywords and subject areas are discussed, and a review of problems and solution methods are provided as well. The results show that in terms of the subject area, energy fuels, green sustainable science technology, environmental sciences, environmental engineering, and chemical engineering are the most discussed areas amongst scholars. Also, based on findings, the majority of studies are deterministic approaches, while there is an urgent need to provide robust approaches for tackling uncertain situations. In the end, the conclusion and discussion are provided as the final section of this study.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Archives of Computational Methods in Engineering
dc.relation.isbasedon	10.1007/s11831-022-09736-5
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Applied Mathematics
dc.title	A Bibliometric Analysis on Optimization Solution Methods Applied to Supply Chain of Solar Energy
dc.type	Journal Article
utslib.citation.volume	29
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-03-26T22:13:33Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	29
utslib.citation.issue	6

Abstract:

This study shows a review and brief analysis of the most concepts and models in the supply chain of solar energy. The presented work of this study possesses two parts. In the first section, a brief introduction on supply chain of solar energy is addressed and then, in the second part, a detailed bibliometric analysis is performed on supply chain of solar energy. The bibliometric analysis has been performed as an influential tool for using in scientometrics and reviews, which for this aim, keywords and subject areas are discussed, and a review of problems and solution methods are provided as well. The results show that in terms of the subject area, energy fuels, green sustainable science technology, environmental sciences, environmental engineering, and chemical engineering are the most discussed areas amongst scholars. Also, based on findings, the majority of studies are deterministic approaches, while there is an urgent need to provide robust approaches for tackling uncertain situations. In the end, the conclusion and discussion are provided as the final section of this study.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/168440