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 language | English |
---|---|
Pages (from-to) | 1009-1023 |
Number of pages | 15 |
Journal | Journal of Ambient Intelligence and Humanized Computing |
Volume | 10 |
Issue number | 3 |
DOIs | |
Publication status | Published - 13 Mar 2019 |
Externally published | Yes |
Keywords
- Customized production
- Internet of things
- Just in time
- Lean production
- Process control
ASJC Scopus subject areas
- General Computer Science