On the Theoretical Foundations and Principles of Organizational Safety Risk Analysis

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dc.contributor.advisorMosleh, Alien_US
dc.contributor.authorMohaghegh-Ahmadabadi, Zahraen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2007-09-28T15:00:29Z
dc.date.available2007-09-28T15:00:29Z
dc.date.issued2007-08-02en_US
dc.description.abstractThis research covers a targeted review of relevant theories and technical domains related to the incorporation of organizational factors into technological systems risk. In the absence of a comprehensive set of principles and modeling guidelines rooted in theory and empirical studies, all models look equally good, or equally poor, with very little basis to discriminate and build confidence. Therefore, this research focused on the possibility of improving the theoretical foundations and principles for the field of Organizational Safety Risk Analysis. Also, a process for adapting a hybrid modeling technique, in order to operationalize the theoretical organizational safety frameworks, is proposed. Candidate ingredients are techniques from Risk Assessment, Human Reliability, Social and Behavioral Science, Business Process Modeling, and Dynamic Modeling. Then, as a realization of aforementioned modeling principles, an organizational safety risk framework, named Socio-Technical Risk Analysis (SoTeRiA)is developed. The proposed framework considers the theoretical relation between organizational safety culture, organizational safety structure/practices, and organizational safety climate, with specific distinction between safety culture and safety climate. A systematic view of safety culture and safety climate fills an important gap in modeling complex system safety risk, and thus the proposed organizational safety risk theory describing the theoretical relation between two concepts to bridge this gap. In contrast to the current safety causal models which do not adequately consider the multilevel nature of the issue, the proposed multilevel causal model explicitly recognizes the relationships among constructs at multiple levels of analysis. Other contributions of this research are in implementing the proposed organizational safety framework in the aviation domain, particularly the airline maintenance system. The US Federal Aviation Administration (FAA), which has sponsored this research over the past three years, has recognized the issue of organizational factors as one of the most critical questions in the quest to achieve 80% reduction in aviation accidents. An example of the proposed hybrid modeling environment including an integration of System Dynamics (SD), Bayesian Belief Network (BBN), Event Sequence Diagram (ESD), and Fault Tree (FT), is also applied in order to demonstrate the value of hybrid frameworks. This hybrid technique integrates deterministic and probabilistic modeling perspectives, and provides a flexible risk management tool.en_US
dc.format.extent4528831 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/7299
dc.language.isoen_US
dc.subject.pqcontrolledEngineering, Generalen_US
dc.subject.pqcontrolledEngineering, System Scienceen_US
dc.subject.pqcontrolledEngineering, Industrialen_US
dc.subject.pquncontrolledEngineered Systems Risk and Reliability Analysisen_US
dc.subject.pquncontrolledRisk-based Safety Managementen_US
dc.subject.pquncontrolledCausal Modeling of Organizational and Human Behavior (using Bayesian Belief Network and System Dynamics Approach)en_US
dc.subject.pquncontrolledSafety Cultureen_US
dc.subject.pquncontrolledHuman Reliabilityen_US
dc.subject.pquncontrolledComplex Systems Modelingen_US
dc.subject.pquncontrolledDecision Analysisen_US
dc.titleOn the Theoretical Foundations and Principles of Organizational Safety Risk Analysisen_US
dc.typeDissertationen_US

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