Big data analytics and application for logistics and supply chain management

Publication Type:
Journal Article
Citation:
Transportation Research Part E: Logistics and Transportation Review, 2018, 114 pp. 343 - 349
Issue Date:
2018-06-01
Metrics:
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© 2018 Elsevier Ltd This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analytics and applications for logistics and supply chain management, such as those through exploring technology-driven tracking strategies, financial performance relations with data driven supply chains, and implementation issues and supply chain capability maturity with big data. This editorial note summarizes the discussions on the big data attributes, on effective practices for implementation, and on evaluation and implementation methods.
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