Big data analytics and application for logistics and supply chain management

被引：165

作者：

Govindan, Kannan ^{[1
]}

Cheng, T. C. E. ^{[2
]}

Mishra, Nishikant ^{[3
]}

Shukla, Nagesh ^{[4
]}

机构：

[1] Univ Southern Denmark, Ctr Sustainable Supply Chain Engn, Dept Technol & Innovat, Odense, Denmark

[2] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China

[3] Univ Hull, Hull Business Sch, Kingston Upon Hull, N Humberside, England

[4] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Syst Management & Leadership, Sydney, NSW 2007, Australia

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2018年 / 114卷

关键词：

Big data analytics; Supply chain management; Logistics; PREDICTIVE ANALYTICS; DATA SCIENCE; DESIGN; ERA;

D O I：

10.1016/j.tre.2018.03.011

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：343 / 349

页数：7

共 34 条

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Arunachalam, Deepak ;

Kumar, Niraj ;

Kawalek, John Paul .

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 :416-436

[2] Assimilation of tracking technology in the supply chain [J].

Basole, Rahul C. ;

Nowak, Maciek .

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 :350-370

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Groenevelt, Harry ;

Seidmann, Abraham .

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Chae, Bongsug .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 165 :247-259

[5] Priority-based scheduling in flexible system using AIS with FLC approach [J].

Chan, Felix T. S. ;

Prakash, Anuj ;

Mishra, Nishikant .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (16) :4880-4895

[6] How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management [J].

Chen, Daniel Q. ;

Preston, David S. ;

Swink, Morgan .

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[7] Incorporating social media observations and bounded CrossMark rationality into fashion quick response supply chains in the big data era [J].

Choi, Tsan-Ming .

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 :386-397

[8] The Supply Chain Becomes the Demand Chain [J].

Christopher, Martin ;

Ryals, Lynette J. .

JOURNAL OF BUSINESS LOGISTICS, 2014, 35 (01) :29-35

[9] Managing a Big Data project: The case of Ramco Cements Limited [J].

Dutta, Debprotim ;

Bose, Indranil .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 165 :293-306

[10] Parallel Selective Algorithms for Nonconvex Big Data Optimization [J].

Facchinei, Francisco ;

Scutari, Gesualdo ;

Sagratella, Simone .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (07) :1874-1889

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