@inproceedings{c7e92e5f1e934e879bf26f4ae9def9be,
title = "Research on socio-technical system functional variability based on functional resonance accident model",
abstract = "Functional Resonance Accident Model (FRAM) is focusing on complex dynamics and interdependencies in Socio-Technical Systems (STSs). Functional variability is necessary to show the adaptation ability of STSs in order to cope with complexity. The variability may combine in unexpected ways causing unacceptable consequences. The variability manifestation of the functions shows how function may vary and how it may affect downstream functions. Currently approaches for discovering and describing the variability are not thorough or impractical. To solve this problem, an extended variability model considering timing, quality, cost and target are presented in this paper. This model can extend the description ability of all kinds of variability and show what have really happened in accident scenario. Finally, a case study of an incident is conducted to show the advantage of this model in describing the potential variability more thoroughly and supporting the analysis of variability propagation process.",
author = "J. Wu and J. Tian and T. Zhao",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; 25th European Safety and Reliability Conference, ESREL 2015 ; Conference date: 07-09-2015 Through 10-09-2015",
year = "2015",
doi = "10.1201/b19094-10",
language = "英语",
isbn = "9781138028791",
series = "Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015",
publisher = "CRC Press/Balkema",
pages = "49--56",
editor = "Luca Podofillini and Bruno Sudret and Bo{\v z}idar Stojadinovi{\'c} and Enrico Zio and Wolfgang Kr{\"o}ger",
booktitle = "Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015",
}