IoT-enabled dynamic lean control mechanism for typical production systems
| Autor: | George Q. Huang, Duxian Nie, Kai Zhang, Dajian Zhou, Matthias Thürer, Yang Liu, Ting Qu, Congdong Li |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Lean control
0209 industrial biotechnology General Computer Science Computer science 05 social sciences Control (management) Context (language use) 02 engineering and technology Lean manufacturing Manufacturing engineering Datorsystem 020901 industrial engineering & automation Lean production Process control Internet of things Just in time Customized production Control theory Computer Systems 0502 economics and business Synchronization (computer science) 050203 business & management |
| Popis: | 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. Funding Agencies|National Natural Science Foundation of China [51475095, 51875251]; Natural Science Foundation of Guangdong Province [2016A030311041, 2017A030313401]; National Ministry of Education "Blue Fire Plan" (Huizhou) Industry-Academia-Research Joint Innovation Fund (2018-2021); Fundamental Research Funds for the Central Universities [11618401]; 2015 Guangdong Special Support Scheme [2014TQ01X706] |
| Databáze: | OpenAIRE |
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