Complex networks in advanced manufacturing systems

Yongfeng Li, Fei Tao, Ying Cheng, Xianzhi Zhang, A. Y.C. Nee

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

In recent years, with the rapid development of manufacturing, information, and management technology, advanced manufacturing systems (AMSs) have become increasingly more and more complex, which hinders the wider applications of many key theories and technologies in AMSs. Fortunately, in the last two decades, some dramatic advances have been made in the field of statistical physics theories, along with the extensive applications of complex network. It has provided an alternative approach to analyze AMSs. Many recent studies have focused on the theory of complex networks to describe and solve complicated manufacturing problems. Based on a great number of relevant publications, this paper presents an up-to-date literature review with the identified outstanding research issues, future trends and directions. Three critical issues are summarized after this investigation: (a) the focused areas of AMSs that have deployed the theory of complex networks, (b) the addressed issues and the corresponding approaches, and (c) the limitations and directions of the existing works.

Original languageEnglish
Pages (from-to)409-421
Number of pages13
JournalJournal of Manufacturing Systems
Volume43
Issue number3
Early online date22 Dec 2016
DOIs
Publication statusPublished - 1 Apr 2017
Externally publishedYes

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