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