Title | ||
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An intelligent factory-wide optimal operation system for continuous production process |
Abstract | ||
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AbstractIn this study, a novel intelligent factory-wide operation system for a continuous production process is designed to optimise the entire production process, which consists of multiple units; furthermore, this system is developed using process operational data to avoid the complexity of mathematical modelling of the continuous production process. The data-driven approach aims to specify the structure of the optimal operation system; in particular, the operational data of the process are used to formulate each part of the system. In this context, the domain knowledge of process engineers is utilised, and a closed-loop dynamic optimisation strategy, which combines feedback, performance prediction, feed-forward, and dynamic tuning schemes into a framework, is employed. The effectiveness of the proposed system has been verified using industrial experimental results. |
Year | DOI | Venue |
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2016 | 10.1080/17517575.2015.1065346 | Periodicals |
Keywords | Field | DocType |
multiple units,continuous production process,optimal operation system,operational indices,production indices,enterprise information system,system design,feedback framework,performance prediction,dynamic tuning | Systems engineering,Factory,Domain knowledge,Computer science,Systems design,Scheduling (production processes),Enterprise information system,Performance prediction,Continuous production,Operating system | Journal |
Volume | Issue | ISSN |
10 | 3 | 1751-7575 |
Citations | PageRank | References |
3 | 0.40 | 13 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinliang Ding | 1 | 284 | 28.96 |
Tianyou Chai | 2 | 2014 | 175.55 |
Hongfeng Wang | 3 | 52 | 3.70 |
Junwei Wang | 4 | 539 | 35.52 |
Xiuping Zheng | 5 | 8 | 2.91 |