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

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 ri...

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Автор: Bertsch, Valentin
Формат: Online
Мова:Англійська
Опубліковано: KIT Scientific Publishing 2021
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Онлайн доступ:35570
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author Bertsch, Valentin
author_browse Bertsch, Valentin
author_facet Bertsch, Valentin
author_sort Bertsch, Valentin
collection Directory of Open Access Books
description 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 uncertainty. Special focus is put on approaches that allow to explicitly illustrate the spread, i.e. the ranges in which the Multi-Attribute Decision Making (MADM) results can vary in consequence of the uncertainties.
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spelling doab-20.500.12854ir-615152023-12-20T15:54:10Z Uncertainty handling in multi-attribute decision support for industrial risk management Bertsch, Valentin HF5001-6182 Entscheidung bei Unsicherheit Multikriterielle Entscheidungsfindung Technikbewertung Industrielles Risikomanagement Entscheidungsunterstützung bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy 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 uncertainty. Special focus is put on approaches that allow to explicitly illustrate the spread, i.e. the ranges in which the Multi-Attribute Decision Making (MADM) results can vary in consequence of the uncertainties. 2021-02-12T06:52:55Z 2021-02-12T06:52:55Z 2019-07-30 20:02:02 2008 book 35570 9783866442078 https://directory.doabooks.org/handle/20.500.12854/61515 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866442078 KIT Scientific Publishing 10.5445/KSP/1000007378 10.5445/KSP/1000007378 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866442078 X, 202 p. open access
spellingShingle HF5001-6182
Entscheidung bei Unsicherheit
Multikriterielle Entscheidungsfindung
Technikbewertung
Industrielles Risikomanagement
Entscheidungsunterstützung
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
Bertsch, Valentin
Uncertainty handling in multi-attribute decision support for industrial risk management
title Uncertainty handling in multi-attribute decision support for industrial risk management
title_full Uncertainty handling in multi-attribute decision support for industrial risk management
title_fullStr Uncertainty handling in multi-attribute decision support for industrial risk management
title_full_unstemmed Uncertainty handling in multi-attribute decision support for industrial risk management
title_short Uncertainty handling in multi-attribute decision support for industrial risk management
title_sort uncertainty handling in multi attribute decision support for industrial risk management
topic HF5001-6182
Entscheidung bei Unsicherheit
Multikriterielle Entscheidungsfindung
Technikbewertung
Industrielles Risikomanagement
Entscheidungsunterstützung
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
topic_facet HF5001-6182
Entscheidung bei Unsicherheit
Multikriterielle Entscheidungsfindung
Technikbewertung
Industrielles Risikomanagement
Entscheidungsunterstützung
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
url 35570
work_keys_str_mv AT bertschvalentin uncertaintyhandlinginmultiattributedecisionsupportforindustrialriskmanagement