DocumentCode :
2417130
Title :
Quantification of organizational influences on failure rate: A Bayesian approach
Author :
Hui Jin ; Rausand, Marvin ; Mosleh, Aboozar ; Haugen, Stein
Author_Institution :
Dept. of Production & Quality, Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
757
Lastpage :
761
Abstract :
This paper studies the organizational influences on failure rates. The failure rate model in MIL-HDBK-217F is extended to include organizational factors, and a Bayesian approach is proposed to quantify the organizational influences. In contrast to most explicit organizational models, this paper focuses on extracting information from failure rate data. The proposed Bayesian approach, however, can be combined with the explicit models by using their results as prior information, hence obtain more rigorous result. A numerical example is included to illustrate the model and approach.
Keywords :
Bayes methods; failure analysis; organisational aspects; Bayesian approach; failure rate; organizational factors; organizational influences; Accidents; Bayes methods; Data models; Industries; Organizations; Reliability; Safety; Bayesian; failure rate; organizational influences; quantification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/IEEM.2012.6837841
Filename :
6837841
Link To Document :
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