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Uncertainty in industrial practice : a guide to quantitative uncertainty management

Author: Etienne de Rocquigny; Nicolas Devictor; Stefano Tarantola
Publisher: Chichester, England ; Hoboken, NJ : J. Wiley, ©2008.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Etienne de Rocquigny; Nicolas Devictor; Stefano Tarantola
ISBN: 9780470994474 0470994479
OCLC Number: 213133342
Description: xxiii, 339 pages : illustrations ; 24 cm
Contents: Preface. Contributors and Acknowledgements. Introduction. Notation - Acronyms and abbreviations. Part I: Common Methodological Framework. 1. Introducing the common methodological framework. 2. Positing of the case studies. Part II: Case Studies. 3. CO 2 emissions: estimating uncertainties in practice for power plants. 4. Hydrocarbon exploration: decision-support through uncertainty treatment. 5. Determination of the risk due to personal electronic devices (PEDs) carried out on radio-navigation systems aboard aircraft. 6. Safety assessment of a radioactive high-level waste repository - comparison of dose and peak dose. 7. A cash flow statistical model for airframe accessory maintenance contracts. 8. Uncertainty and reliability study of a creep law to assess the fuel cladding behaviour of PWR spent fuel assemblies during interim dry storage. 9. Radiological protection and maintenance. 10. Partial safety factors to deal with uncertainties in slope stability of river dykes. 11. Probabilistic assessment of fatigue life. 12. Reliability modelling in early design stages using the Dempster-Shafer theory of Evidence. Part III: Methodological Review and Recommendations. 13. What does uncertainty management mean in an industrial context? 14. Uncertainty settings and natures uncertainty. 15. Overall approach. 16. Uncertainty modelling methods. 17. Uncertainty propagation methods. 18. Sensitivity analysis methods. 19. Presentation in a deterministic format. 20. Recommendations the overall process in practice. Conclusion. Appendices. Appendix A. A selection of codes and standards. Appendix B. A selection of tools and websites. Appendix C. Towards non-probabilistic settings: promises and industrial challenges. Index.
Responsibility: edited by Etienne de Rocquigny, Nicolas Devictor, Stefano Tarantola.
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There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design  Read more...

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