1. Development of FRAM Model Based on Structure of Complex Adaptive Systems to Visualize Safety of Socio-Technical Systems
- Author
-
Tetsuo Sawaragi and Takayuki Hirose
- Subjects
Structure (mathematical logic) ,safety ,0209 industrial biotechnology ,Sociotechnical system ,Computer science ,Process (engineering) ,Distributed computing ,media_common.quotation_subject ,Socio-Technical Systems ,020208 electrical & electronic engineering ,Context (language use) ,02 engineering and technology ,Fuzzy logic ,020901 industrial engineering & automation ,Control and Systems Engineering ,Functional Resonance Analysis Method (FRAM) ,0202 electrical engineering, electronic engineering, information engineering ,Complex adaptive system ,Function (engineering) ,Reliability (statistics) ,media_common ,complex adaptive systems - Abstract
FRAM: Functional Resonance Analysis Method is an effective way to know about the safety of complex Socio-Technical Systems. However, it is a method rather than model and required to be extended for its practical usage. According to this, in this paper, a latest version of FRAM simulator based on our developed model is presented. The model simulates a process in which variabilities exiting in a working environment induce variability of FRAM functions that emerge out of the dynamic interactions among the functions as well as with the environment. Moreover, the model simulates a process where a specific context composed of variabilities existing in a working environment "shakes" FRAM functions, while the context is "shaken" by those functions vice versa, which is a typical dynamics specific to complex adaptive systems. This is implemented by integrating FRAM and Fuzzy CREAM which is an extended model of CREAM: Cognitive Reliability and Error Analysis Method with fuzzy reasoning. It enables to parameterize the variabilities, define the context, and formulate their interactions quantitatively, whose result is given as a dynamical change of state in each FRAM function.
- Published
- 2019