| Autor: |
Zhang, Kai, Qu, Ting, Zhou, Dajian, Thürer, Matthias, Liu, Yang, Nie, Duxian, Li, Congdong, Huang, George Q. |
| Zdroj: |
Journal of Ambient Intelligence & Humanized Computing; Mar2019, Vol. 10 Issue 3, p1009-1023, 15p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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