Revolutionizing sustainable supply chain management: A review of metaheuristics

Abualigah, L; Hanandeh, ES; Zitar, RA; Thanh, CL; Khatir, S; Gandomi, AH

Revolutionizing sustainable supply chain management: A review of metaheuristics

Abualigah, L Hanandeh, ES Zitar, RA Thanh, CL Khatir, S Gandomi, AH

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Engineering Applications of Artificial Intelligence, 2023, 126
Issue Date:: 2023-11-01

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Field	Value	Language
dc.contributor.author	Abualigah, L
dc.contributor.author	Hanandeh, ES
dc.contributor.author	Zitar, RA
dc.contributor.author	Thanh, CL
dc.contributor.author	Khatir, S
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-05-13T12:44:51Z
dc.date.available	2024-05-13T12:44:51Z
dc.date.issued	2023-11-01
dc.identifier.citation	Engineering Applications of Artificial Intelligence, 2023, 126
dc.identifier.issn	0952-1976
dc.identifier.issn	1873-6769
dc.identifier.uri	http://hdl.handle.net/10453/178949
dc.description.abstract	This paper reviews the application of metaheuristics for optimized sustainable supply chain management (SSCM). This paper explores the potential of metaheuristics to improve the supply chain's sustainability while enhancing its efficiency and competitiveness. The paper provides an overview of the principles of SSCM and the challenges businesses face in achieving sustainable supply chain management. It then introduces the concept of metaheuristics and describes their use in solving complex optimization problems. The paper reviews various metaheuristics algorithms applied to sustainable supply chain management and analyzes their effectiveness in addressing the challenges of SSCM. The paper also identifies the key factors that influence the success of using metaheuristics for SSCM, such as the choice of algorithm, problem complexity, and data quality. Finally, the paper provides recommendations for future research in this area and highlights the potential of metaheuristics to promote sustainable supply chain management. The review suggests that metaheuristics can be a valuable tool for optimizing sustainable supply chain management and improving supply chain operations’ sustainability, efficiency, and competitiveness.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Engineering Applications of Artificial Intelligence
dc.relation.isbasedon	10.1016/j.engappai.2023.106839
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Revolutionizing sustainable supply chain management: A review of metaheuristics
dc.type	Journal Article
utslib.citation.volume	126
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
utslib.copyright.status	open_access	*
dc.date.updated	2024-05-13T12:44:49Z
pubs.publication-status	Published
pubs.volume	126

Abstract:

This paper reviews the application of metaheuristics for optimized sustainable supply chain management (SSCM). This paper explores the potential of metaheuristics to improve the supply chain's sustainability while enhancing its efficiency and competitiveness. The paper provides an overview of the principles of SSCM and the challenges businesses face in achieving sustainable supply chain management. It then introduces the concept of metaheuristics and describes their use in solving complex optimization problems. The paper reviews various metaheuristics algorithms applied to sustainable supply chain management and analyzes their effectiveness in addressing the challenges of SSCM. The paper also identifies the key factors that influence the success of using metaheuristics for SSCM, such as the choice of algorithm, problem complexity, and data quality. Finally, the paper provides recommendations for future research in this area and highlights the potential of metaheuristics to promote sustainable supply chain management. The review suggests that metaheuristics can be a valuable tool for optimizing sustainable supply chain management and improving supply chain operations’ sustainability, efficiency, and competitiveness.

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http://hdl.handle.net/10453/178949