Developing soft factors inputs to common cause failure models

Bedford, T.J. and Walls, L.A. and Zitrou, A.; Spitzer, C. and Schmocker, U. and Dang, V.N., eds. (2004) Developing soft factors inputs to common cause failure models. In: Probabilistic Safety Assessment and Management. Springer, Germany, pp. 825-830. ISBN 978-1-85233-827-5

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Abstract

Probabilistic Safety Assessment and Management is a collection of papers presented at the PSAM 7 - ESREL '04 Conference in June 2004. The joint Conference provided a forum for the presentation of the latest developments in methodology and application of probabilistic and reliability methods in various industries. Innovations in methodology as well as practical applications in the areas of probabilistic safety assessment and of reliability analysis are presented in this six volume set. The aim of these applications is the optimisation of technological systems and processes from the perspective of a risk-informed safety management while also taking economic and environmental aspects into account. The joint Conference in particular achieved an enhanced communication, the sharing of experience and integration of approaches not only among the various industries but also on a truly global basis by bringing together leading experts from all over the world. Over the last four decades, contemporary researchers have continuously been working to provide modern societies with a systematic, self-consistent and coherent framework for making decisions on at least one class of risks, those stemming from modern technological applications. Most of the effort has been spent in developing methods and techniques for assessing the dependability of technological systems, and assessing or estimating the levels of safety and associated risks. A wide spectrum of engineering, natural and economic sciences has been involved in this assessment effort. The developments have moved beyond research endeavours, they have been applied and utilised in real socio-technical environments and have become established - while modern technology continues to present new challenges and to raise new questions. Consequently, Probabilistic Safety Assessment and Management covers both well-established practices and open issues in the fields addressed by the Conference, identifying areas where maturity has been reached and those where more development is needed. The papers reflect a wide variety of disciplines, such as principles and theory of reliability and risk analysis, systems modelling and simulation, consequence assessment, human and organisational factors, structural reliability methods, software reliability and safety, insights and lessons from risk studies and management/decision making. A diverse range of application areas are represented including aviation and space, chemical processing, civil engineering, energy, environment, information technology, legal, manufacturing, health care, defence, transportation and waste management.

ORCID iDs

Bedford, T.J. ORCID logoORCID: https://orcid.org/0000-0002-3545-2088, Walls, L.A. ORCID logoORCID: https://orcid.org/0000-0001-7016-9141 and Zitrou, A.; Spitzer, C., Schmocker, U. and Dang, V.N.
CORE (COnnecting REpositories)