IoT-enabled dynamic lean control mechanism for typical production systems

Kai Zhang, Ting Qu, Dajian Zhou, Matthias Thürer, Yang Liu, Duxian Nie, Congdong Li, George Q. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

34 Citations (Scopus)

Abstract

The emergence and subsequent popularization of lean has been one of the most significant developments in the history of operations management. However, there is a lack of systematic theory on the control framework underlying lean production. It is therefore difficult to conduct more in-depth research on Lean theory, specifically in the context of emerging technologies as smart manufacturing or Industry 4.0. In this study, process control theory is used to re-define several major lean methods and tools. Then a Lean-Oriented Optimum-State Control Theory (L-OSCT) is proposed that integrates these lean methods and tools into optimum-state control theory. On the level of method and mechanism, we adopt a recently emerged synchronization approach to obtain global-wide leanness of a large-scale system. L-OSCT provides dynamic process control in industrial networking systems. At last, a case study in a large-size paint making company in China is used to validate the effectiveness of the approach.

Original languageEnglish
Pages (from-to)1009-1023
Number of pages15
JournalJournal of Ambient Intelligence and Humanized Computing
Volume10
Issue number3
DOIs
Publication statusPublished - 13 Mar 2019
Externally publishedYes

Keywords

  • Customized production
  • Internet of things
  • Just in time
  • Lean production
  • Process control

ASJC Scopus subject areas

  • General Computer Science

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