@inproceedings{9171635250bc4827bf46461f0ff19f23,
title = "Production system multi-stage synchronization based on collaborative optimization under the Internet-of-Things environment",
abstract = "Personalized customer demand requires manufacturers to produce varieties of small batch products, however enterprises cannot deal well with dynamic production process caused by customer demand when the action of resource purchasing becomes short-rotation. From the qualitative and quantitative perspective, based on Internet-of-Things and Collaborative optimization, this paper builds a control infrastructure of production system multi-stage synchronization to deal with high dynamics. Eventually, the control frame is demonstrated by using a chemical manufacturing enterprise.",
keywords = "Collaborative optimization, Dynamics, Internet-of-Things, production system multi-stage synchronization",
author = "K. Kang and T. Qu and Nie, \{D. X.\} and T. Zhang and Wang, \{Z. Z.\} and Huang, \{G. Q.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 ; Conference date: 28-04-2016 Through 30-04-2016",
year = "2016",
month = may,
day = "25",
doi = "10.1109/ICNSC.2016.7478990",
language = "English",
series = "ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control",
}