03495nam a22005415i 4500999001700000001001800017003000900035005001700044006001900061007001500080008004100095020001800136024003500154040001100189050001200200072001600212072002300228072001600251082001400267245010800281250001800389264007500407300004200482336002600524337002600550338003600576347002400612490006000636505115400696520051701850650002902367650002402396650002702420650002002447650002902467650002902496650003202525650002002557700008902577710003402666773002602700776003602726776003602762776003602798830006002834856004602894942001302940  c27411d27411978-3-031-29823-3DE-He21320240716162058.0a|||||o|||| 00| 0 cr nn 008mamaa230622s2023    sz |    s    |||| 0|eng d  a97830312982337 a10.1007/978-3-031-29823-32doi  cimu-kc 4aHC79.E5 7aKCN2bicssc 7aBUS0690002bisacsh 7aKCVG2thema04a333.722310aData Analytics for Supply Chain Networksh[electronic resource] /cedited by Niamat Ullah Ibne Hossain.  a1st ed. 2023. 1aCham :bSpringer International Publishing :bImprint: Springer,c2023.  aVI, 261 p. 1 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aGreening of Industry Networks Studies,x2543-0254 ;v110 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.  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. 0aEnvironmental economics. 0aBusiness logistics. 0aQuantitative research. 0aSustainability.14aEnvironmental Economics.24aSupply Chain Management.24aData Analysis and Big Data.24aSustainability.1 aIbne Hossain, Niamat Ullah.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303129822608iPrinted edition:z978303129824008iPrinted edition:z9783031298257 0aGreening of Industry Networks Studies,x2543-0254 ;v1140uhttps://doi.org/10.1007/978-3-031-29823-3  2ddccEBK