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dc.contributor.authorKhorshidi, H.en
dc.contributor.authorGunawan, I.en
dc.contributor.authorNikfalazar, S.en
dc.identifier.citationGroup Decision and Negotiation, 2016; 25(1):203-220en
dc.descriptionFirst online: 08 April 2015en
dc.description.abstractFuzzy risk analysis is widely used in risk assessment of components by linguistic terms. Fuzzy numbers are used to quantify the associated uncertainty. This study employs fuzzy risk analysis to evaluate processes for implementing statistical process control (SPC) in a specified manufacturing system. To reach this goal, fuzzy risk analysis has been applied based on both ranking and similarity of generalized trapezoidal fuzzy numbers in a stepwise procedure. Therefore, a new approach has been introduced for fuzzy risk analysis of processes to overcome the shortcomings of previous fuzzy risk analysis approaches. As a result, fuzzy risk analysis is used as a decision making technique to select critical processes under uncertainty. Also, the application of the proposed SPC implementation algorithm is illustrated in the manufacturing line of a car battery factory.en
dc.description.statementofresponsibilityHadi Akbarzade Khorshidi, Indra Gunawan, Sanaz Nikfalazaren
dc.rights© Springer Science+Business Media Dordrecht 2015en
dc.subjectFuzzy risk analysis; Statistical process control (SPC); Uncertainty; TOPSIS approach; Group decision making; Manufacturing lineen
dc.titleApplication of fuzzy risk analysis for selecting critical processes in implementation of SPC with a case studyen
dc.typeJournal articleen
pubs.library.collectionEntrepreneurship, Commercialisation, and Innovation Centre publicationsen
dc.identifier.orcidGunawan, I. [0000-0001-7357-509X]en
Appears in Collections:Entrepreneurship, Commercialisation, and Innovation Centre publications

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