Uncertainty in Industrial Practice
A Guide to Quantitative Uncertainty Management
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Beschreibung
Managing uncertainties in industrial systems is a daily challengeto ensure improved design, robust operation, accountableperformance and responsive risk control. Authored by a leadingEuropean network of experts representing a cross section ofindustries, Uncertainty in Industrial Practice aims to provide areference for the dissemination of uncertainty treatment in anytype of industry. It is concerned with the quantification ofuncertainties in the presence of data, model(s) and knowledge aboutthe system, and offers a technical contribution to decision-makingprocesses whilst acknowledging industrial constraints. The approachpresented can be applied to a range of different business contexts,from research or early design through to certification orin-service processes. The authors aim to foster optimal trade-offsbetween literature-referenced methodologies and the simplifiedapproaches often inevitable in practice, owing to data, time orbudget limitations of technical decision-makers.
Uncertainty in Industrial Practice:
* Features recent uncertainty case studies carried out in thenuclear, air & space, oil, mechanical and civil engineeringindustries set in a common methodological framework.
* Presents methods for organizing and treating uncertainties in ageneric and prioritized perspective.
* Illustrates practical difficulties and solutions encounteredaccording to the level of complexity, information available andregulatory and financial constraints.
* Discusses best practice in uncertainty modeling, propagationand sensitivity analysis through a variety of statistical andnumerical methods.
* Reviews recent standards, references and available software,providing an essential resource for engineers and risk analysts ina wide variety of industries.
This book provides a guide to dealing with quantitativeuncertainty in engineering and modelling and is aimed atpractitioners, including risk-industry regulators and academicswishing to develop industry-realistic methodologies.
Autor*in
Etienne de Rocquigny
Themen in »Uncertainty in Industrial Practice«
Angewandte Wahrscheinlichkeitsrechnung u. Statistik Applied Probability & Statistics Engineering Statistics Finanz- u. Wirtschaftsstatistik Statistics Statistics for Finance, Business & Economics Statistik Statistik in den Ingenieurwissenschaften Technische Statistik Unsicherheit