Gheorghe / Mock Risk Engineering

Bridging Risk Analysis with Stakeholders Values
1999
ISBN: 978-94-011-4784-2
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 6, 273 Seiten, eBook

Reihe: Topics in Safety, Risk, Reliability and Quality

Industrial development is essential to improvement of the standard of living in all countries. People's health and the environment can be affected, directly or indirectly by routine waste discharges or by accidents. A series of recent major industrial accidents and the effect of pollution highlighted, once again, the need for better management of routine and accidental risks. Moreover, the existence of natural hazards complicate even more the situation in any given region. In the past effort to cope with these risks, if made at all, have been largely on a plant by plant basis; some plants are well equipped to manage environmental and health hazards, while others are not. Managing the hazards of modern technological systems has become a key activity in highly industrialised countries. Decision makers are often confronted with complex issues concerning economic and social development, industrialisation and associated infrastructure needs, population and land use planning. Such issues have to be addressed in such a way that ensures that public health will not be disrupted or substantially degraded. Due to the increasing complexity of technological systems and the higher geographical density of punctual hazard sources, new methodologies and a novel approach to these problems are challenging risk managers and regional planers. Risks from these new complex technological systems are inherently different form those addressed by the risk managers for decades ago.

Zielgruppe

Research

Autoren/Hrsg.

Gheorghe, A.V.

Mock, Ralf

Inhaltsverzeichnis

Preface. Foreword. Acknowledgements. 1. Risk Engineering in a Complex World. 2. Introduction and Background to Risk Engineering. 3. Decision Sciences and Stakeholders Processes. 4. Established Methods in Risk Engineering. 5. Fuzzy Logic in Risk Engineering. 6. `Fuzzy Risk Analysis' on Plant and Regional Level. 7. Decision Support Systems in Risk Engineering. 8. Risk Engineering and Beyond. References. Index. Appendix.