@inproceedings{0d77596c4ebd4b639cbb82b5f6b9b1cd,
title = "Simulation model of dynamic service scheduling in cloud manufacturing",
abstract = "Efficient service scheduling in the dynamic cloud manufacturing environment is very important for optimal supply-demand matching and timely delivery of products. This paper presents a systematic and deep analysis of the scheduling process and problem characteristics for dynamic service scheduling in cloud manufacturing. A simulation model is established for the dynamic service scheduling process of cloud manufacturing from aspects of demanders, tasks, services and path models. Both the attributes and activities of different models are studied, and a systematic scheduling simulation model is established. This work is probably valuable for the future simulation-based dynamic scheduling research in cloud manufacturing.",
keywords = "Cloud manufacturing, Model, Service scheduling, Simulation",
author = "Longfei Zhou and Lin Zhang and Lei Ren",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 ; Conference date: 20-10-2018 Through 23-10-2018",
year = "2018",
month = dec,
day = "26",
doi = "10.1109/IECON.2018.8592864",
language = "英语",
series = "Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4199--4204",
booktitle = "Proceedings",
address = "美国",
}