Big data analytics in production and distribution management

被引:9
|
作者
Yin, Yunqiang [1 ]
Chu, Feng [2 ]
Dolgui, Alexandre [3 ]
Cheng, T. C. E. [4 ]
Zhou, M. C. [5 ]
机构
[1] Univ Elect Sci & Technol China, Sch Econ & Management, Chengdu, Peoples R China
[2] Univ Pairs Saclay, Univ Evry, IBISC, F-91025 Evry, France
[3] CNRS, LS2N, IMT Atlantique, Nantes, France
[4] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
[5] New Jersey Inst Technol, Helen & John C Hartmann Dept Elect & Comp Engn, Newark, NJ 07102 USA
基金
中国国家自然科学基金;
关键词
Big data analytics; production management; distribution management; supply chain management; manufacturing management; INDUSTRY; 4.0; MAINTENANCE; ALGORITHMS; FEATURES; MODELS;
D O I
10.1080/00207543.2022.2130589
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Production and distribution are two key constituents of a supply chain. In view of the growing availability of data and advances in big data analytics techniques, there have been more and more applications of data analytics to deal with the problems in production and distribution management. With this in mind, we proposed a special issue on 'Big Data Analytics in Production and Distribution Management' to report the latest development in this field. In this editorial, we first introduce the background and examine the existing review works on the applications of data analytics to operations management. We then introduce the papers accepted in the issue, and discuss how different types of big data analytics techniques are applied to production and distribution management, including demand forecasting, production scheduling, distribution management, manufacturing management, and supply chain management. Finally, we conclude the paper with a discussion of future research.
引用
收藏
页码:6682 / 6690
页数:9
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