TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING

European Union has accomplished, through introducing New Approach to technical harmonization and standardization, a breakthrough in the field of technical products safety and in assessing their conformity, in such a manner that it integrated products safety requirements into the process of products...

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Main Authors: Mirko Djapic, Ljubomir Lukic, Ana Pavlovic
Format: Article
Language:English
Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2016-03-01
Series:International Journal for Quality Research
Subjects:
ERM
Online Access:http://www.ijqr.net/journal/v10-n1/8.pdf
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spelling doaj-c0e12d3202aa4af1b583e42f24d06dde2021-03-02T00:36:59ZengCenter for Quality, Faculty of Engineering, University of Kragujevac, SerbiaInternational Journal for Quality Research1800-64501800-74732016-03-0110115917610.18421/IJQR10.01-08TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELINGMirko Djapic0Ljubomir Lukic1Ana Pavlovic2University of Kragujevac, Faculty of Mechanical and Civil Engineering Kraljevo Kraljevo SerbiaUniversity of Kragujevac, Faculty of Mechanical and Civil Engineering Kraljevo Kraljevo SerbiaUniversity of Bologna, Department of Industrial Engineering, Bologna, ItalyEuropean Union has accomplished, through introducing New Approach to technical harmonization and standardization, a breakthrough in the field of technical products safety and in assessing their conformity, in such a manner that it integrated products safety requirements into the process of products development. This is achieved by quantifying risk levels with the aim of determining the scope of the required safety measures and systems. The theory of probability is used as a tool for modeling uncertainties in the assessment of that risk. In the last forty years are developed new mathematical theories have proven to be better at modeling uncertainty when we have not enough data about uncertainty events which is usually the case in product development. Bayesian networks based on modeling of subjective probability and Evidence networks based on Dempster-Shafer theory of belief functions proved to be an excellent tool for modeling uncertainty when we do not have enough information about all events aspect.http://www.ijqr.net/journal/v10-n1/8.pdftechnical productrisk assessmentrisk standardsERMuncertainty modeling
collection DOAJ
language English
format Article
sources DOAJ
author Mirko Djapic
Ljubomir Lukic
Ana Pavlovic
spellingShingle Mirko Djapic
Ljubomir Lukic
Ana Pavlovic
TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING
International Journal for Quality Research
technical product
risk assessment
risk standards
ERM
uncertainty modeling
author_facet Mirko Djapic
Ljubomir Lukic
Ana Pavlovic
author_sort Mirko Djapic
title TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING
title_short TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING
title_full TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING
title_fullStr TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING
title_full_unstemmed TECHNICAL PRODUCT RISK ASSESSMENT: STANDARDS, INTEGRATION IN THE ERM MODEL AND UNCERTAINTY MODELING
title_sort technical product risk assessment: standards, integration in the erm model and uncertainty modeling
publisher Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia
series International Journal for Quality Research
issn 1800-6450
1800-7473
publishDate 2016-03-01
description European Union has accomplished, through introducing New Approach to technical harmonization and standardization, a breakthrough in the field of technical products safety and in assessing their conformity, in such a manner that it integrated products safety requirements into the process of products development. This is achieved by quantifying risk levels with the aim of determining the scope of the required safety measures and systems. The theory of probability is used as a tool for modeling uncertainties in the assessment of that risk. In the last forty years are developed new mathematical theories have proven to be better at modeling uncertainty when we have not enough data about uncertainty events which is usually the case in product development. Bayesian networks based on modeling of subjective probability and Evidence networks based on Dempster-Shafer theory of belief functions proved to be an excellent tool for modeling uncertainty when we do not have enough information about all events aspect.
topic technical product
risk assessment
risk standards
ERM
uncertainty modeling
url http://www.ijqr.net/journal/v10-n1/8.pdf
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AT ljubomirlukic technicalproductriskassessmentstandardsintegrationintheermmodelanduncertaintymodeling
AT anapavlovic technicalproductriskassessmentstandardsintegrationintheermmodelanduncertaintymodeling
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