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Uncertainty handling in multi-attribute decision support for industrial risk management

Bertsch, Valentin

The complexity of today's industrial production networks constitutes a new challenge for industrial risk and safety management. In order to handle potential risks to and emanating from industry and their respective impact on mankind as well as the environment, an integrated approach to industrial risk management is needed, since complex decision situations need to be resolved requiring input from diverse scientific disciplines and the consideration of various often conflicting criteria. Providing the basis for the evaluation of such conflicting criteria and for bringing together existing knowledge from different disciplines, approaches from Multi-Criteria Decision Analysis (MCDA) can be very helpful to resolve the complexity of the occurring decision situations.

In order to address the various types of uncertainty, which may arise in a decision making process in industrial risk management, a framework for uncertainty handling is proposed. On the basis of a structured uncertainty classification, methods based on Monte Carlo simulation can be used for a consistent modelling, propagation and visualisation of the different types of ... mehr

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DOI: 10.5445/KSP/1000007378
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Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Hochschulschrift
Jahr 2008
Sprache Englisch
Identifikator ISBN: 978-3-86644-207-8
KITopen-ID: 1000007378
Verlag Universitätsverlag Karlsruhe, Karlsruhe
Umfang X, 202 S.
Abschlussart Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Prüfungsdatum 06.12.2007
Referent/Betreuer Prof. O. Rentz
Schlagworte Multikriterielle Entscheidungsfindung , Industrielles Risikomanagement , Technikbewertung , Entscheidung bei Unsicherheit , Entscheidungsunterstützung
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