TY - GEN
T1 - Estimation of reliability characteristics in a production scheduling model with failures and time-changing parameters described by Gamma and exponential distributions
AU - Kempa, Wojciech M.
AU - Paprocka, Iwona
AU - Kalinowski, Krzysztof
AU - Grabowik, Cezary
PY - 2014
Y1 - 2014
N2 - In the paper a classical model of failures is considered in that successive failure-free times are supposed to have Gamma distributions and are followed by exponentially distributed times of repairs. It is assumed that parameters of these distributions, in general, change with time. Basing on information about the number of failures and failure-free times in a number of periods of the same duration in the past, three different methods of estimation unknown parameters of the model are proposed. Next, predictions of the most important reliability characteristics are found.
AB - In the paper a classical model of failures is considered in that successive failure-free times are supposed to have Gamma distributions and are followed by exponentially distributed times of repairs. It is assumed that parameters of these distributions, in general, change with time. Basing on information about the number of failures and failure-free times in a number of periods of the same duration in the past, three different methods of estimation unknown parameters of the model are proposed. Next, predictions of the most important reliability characteristics are found.
KW - Gamma distribution
KW - Maintenance scheduling
KW - Mean Time Between Failures (MTBF)
KW - Mean Time To First Failure (MTTFF)
KW - Predictive
KW - Reliability function
KW - Renewal function
UR - https://www.scopus.com/pages/publications/84891637191
U2 - 10.4028/www.scientific.net/AMR.837.116
DO - 10.4028/www.scientific.net/AMR.837.116
M3 - Conference contribution
AN - SCOPUS:84891637191
SN - 9783037859292
T3 - Advanced Materials Research
SP - 116
EP - 121
BT - Modern Technologies in Industrial Engineering
T2 - 2013 ModTech International Conference on Modern Technologies in Industrial Engineering, ModTech 2013
Y2 - 27 June 2013 through 29 June 2013
ER -