@inproceedings{ecfdee3466ad41a2b9e3a9b3411dd869,
title = "Predictive and reactive scheduling for a critical machine of a production system",
abstract = "In the paper a production model with failures is presented where successive failure-free times are supposed to have normal distributions and are followed by normally distributed times of repairs. Unknown parameters of distributions are estimated using e.g. empirical moments approach. Predictions of unknown parameters are done using classical regression method. Having Mean Time To First Failure, and Mean Time of Repair a disturbance robust predictive schedule is generated using rule: Minimal Impact of Disturbed Operation on the Schedule. If a machine's failure-free time is not successfully predicted reactive schedule is generated using criterion: Minimal Impact of Rescheduled Operation on the Schedule.",
keywords = "Mean Time Between Failures (MTBF), Mean Time To Failure (MTTF), Normal distribution, Predictive, Reactive scheduling",
author = "Iwona Paprocka and Kempa, \{Wojciech M.\} and Cezary Grabowik and Krzysztof Kalinowski",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.1036.909",
language = "English",
series = "Advanced Materials Research",
publisher = "Trans Tech Publications Ltd.",
pages = "909--914",
editor = "Alexander Mikhaylov and Dumitru Nedelcu and Alexei Toca and Andrzej Wrobel and Constantin Carausu and Emil Oanta",
booktitle = "Modern Technologies in Industrial Engineering II",
address = "Switzerland",
}