@inproceedings{2970e91a73444cbaa563d73687117826,
title = "Robust scheduling, a production scheduling model of failures",
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 the distribution 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 an immune algorithm and rule Minimal Impact of Disturbed Operation on the Schedule.",
keywords = "Immune algorithm, Mean time to first failure (mttff), Multiobjective scheduling, Normal distribution, Predictive scheduling, Robust schedule",
author = "Iwona Paprocka and Bozena Sko{\l}ud",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.307.443",
language = "English",
isbn = "9783037856598",
series = "Applied Mechanics and Materials",
pages = "443--446",
booktitle = "Mechatronics and Computational Mechanics",
note = "2012 International Conference on Mechatronics and Computational Mechanics, ICMCM 2012 ; Conference date: 20-12-2012 Through 21-12-2012",
}