001469923 000__ 03911cam\\22006017a\4500
001469923 001__ 1469923
001469923 003__ OCoLC
001469923 005__ 20230803003353.0
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001469923 007__ cr\un\nnnunnun
001469923 008__ 230625s2023\\\\sz\\\\\\o\\\\\001\0\eng\d
001469923 020__ $$a9783031298233$$q(electronic bk.)
001469923 020__ $$a3031298233$$q(electronic bk.)
001469923 020__ $$z3031298225
001469923 020__ $$z9783031298226
001469923 0247_ $$a10.1007/978-3-031-29823-3$$2doi
001469923 035__ $$aSP(OCoLC)1385451467
001469923 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dN$T$$dOCLCF
001469923 049__ $$aISEA
001469923 050_4 $$aHD38.5
001469923 08204 $$a658.5$$223/eng/20230628
001469923 24500 $$aData analytics for supply chain networks /$$cNiamat Ullah Ibne Hossain, editor.
001469923 260__ $$aCham, Switzerland :$$bSpringer,$$c2023.
001469923 300__ $$a1 online resource.
001469923 336__ $$atext$$btxt$$2rdacontent
001469923 337__ $$acomputer$$bc$$2rdamedia
001469923 338__ $$aonline resource$$bcr$$2rdacarrier
001469923 4901_ $$aGreening of industry networks studies ;$$vv. 11
001469923 500__ $$aIncludes index.
001469923 5050_ $$aChapter 1. The state of art of data analytics in resilience and sustainability management -- Chapter 2. Enhancing the viability of green supply chain management initiatives leveraging data fusion technique -- Chapter 3. Supply chain sustainability and supply chain resilience: A performance measurement framework with empirical validation -- Chapter 4. An assessment of decision-making in resilient and sustainable project between literature and practice -- Chapter 5. Barriers for Lean Supply Chain Management and their Overcoming Strategies in Context of the Indian Automobile Industry -- Chapter 6. Prioritizing Sustainability Criteria of Green Supply Chains using Best Worst Method -- Chapter 7. Economic performance analysis of resilient and sustainable supply chain: Adoption of electric vehicles as a sustainable logistics option -- Chapter 8. Integrating circular economy and reverse logistics for achieving sustainable dairy operations -- Chapter 9. The impact of big data analytics capabilities on the sustainability of maritime firms -- Chapter 10. Smart transportation logistics: Achieving supply chain efficiency with green initiatives.
001469923 506__ $$aAccess limited to authorized users.
001469923 520__ $$aThe objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of the green supply chain networks. To demonstrate the applicability and usefulness of the method, the book adopts different data analytic models and approaches against the backdrop of case studies. In summary, this book attempts to address the question of methods, tools, and techniques that can be used to create resilient, anti-fragile, reliable, and invulnerable green supply chain networks.
001469923 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 28, 2023).
001469923 650_0 $$aBusiness logistics$$xData processing.
001469923 650_0 $$aBig data.
001469923 655_0 $$aElectronic books.
001469923 7001_ $$aHossain, Niamat Ullah Ibne,$$d1987-
001469923 77608 $$iPrint version:$$z3031298225$$z9783031298226$$w(OCoLC)1371584517
001469923 830_0 $$aGreening of industry networks studies ;$$vv. 11.
001469923 852__ $$bebk
001469923 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29823-3$$zOnline Access$$91397441.1
001469923 909CO $$ooai:library.usi.edu:1469923$$pGLOBAL_SET
001469923 980__ $$aBIB
001469923 980__ $$aEBOOK
001469923 982__ $$aEbook
001469923 983__ $$aOnline
001469923 994__ $$a92$$bISE