A review of computational tools, techniques, and methods for sustainable supply chains

Rahman, T Paul, SK

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Computational Intelligence Techniques for Sustainable Supply Chain Management, 2024, 1, pp. 1-26
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Rahman, T
dc.contributor.author	Paul, SK
dc.date.accessioned	2024-07-23T03:20:42Z
dc.date.available	2024-07-23T03:20:42Z
dc.date.issued	2024
dc.identifier.citation	Computational Intelligence Techniques for Sustainable Supply Chain Management, 2024, 1, pp. 1-26
dc.identifier.isbn	9780443184642
dc.identifier.uri	http://hdl.handle.net/10453/179821
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Computational Intelligence Techniques for Sustainable Supply Chain Management
dc.relation.ispartofseries	Uncertainty, Computational Techniques, and Decision Intelligence
dc.relation.isbasedon	10.1016/b978-0-443-18464-2.00008-x
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A review of computational tools, techniques, and methods for sustainable supply chains
dc.type	Chapter
utslib.citation.edition	1
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Business
pubs.organisational-group	University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2024-07-23T03:20:40Z
pubs.edition	1
pubs.publication-status	Published

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