Big data analytics in production and distribution management

Yunqiang Yin, Feng Chu, Alexandre Dolgui, T. C.E. Cheng, M. C. Zhou

Research output: Contribution to journalEditorialpeer-review

8 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)6682-6690
Number of pages9
JournalInternational Journal of Production Research
Volume60
Issue number22
DOIs
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Keywords

  • Big data analytics
  • distribution management
  • manufacturing management
  • production management
  • supply chain management

Fingerprint

Dive into the research topics of 'Big data analytics in production and distribution management'. Together they form a unique fingerprint.

Cite this