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008			230622s2023 sz | s |||| 0|eng d
020			_a9783031298233
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072		7	_aBUS069000 _2bisacsh
072		7	_aKCVG _2thema
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245	1	0	_aData Analytics for Supply Chain Networks _h[electronic resource] / _cedited by Niamat Ullah Ibne Hossain.
250			_a1st ed. 2023.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023.
300			_aVI, 261 p. 1 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aGreening of Industry Networks Studies, _v11
505	0		_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.
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.
650		0	_aEnvironmental economics.
650		0	_aBusiness logistics.
650		0	_aQuantitative research.
650		0	_aSustainability.
650	1	4	_aEnvironmental Economics.
650	2	4	_aSupply Chain Management.
650	2	4	_aData Analysis and Big Data.
650	2	4	_aSustainability.
700	1		_aIbne Hossain, Niamat Ullah. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031298226
776	0	8	_iPrinted edition: _z9783031298240
776	0	8	_iPrinted edition: _z9783031298257
830		0	_aGreening of Industry Networks Studies, _v11
856	4	0	_uhttps://doi.org/10.1007/978-3-031-29823-3
942			_2ddc _cEB
999			_c9427 _d9427