Abstract

A fuzzy expert system methodology is proposed, based on the combination of bow-tie diagrams and fuzzy set theory. It was designed to support the management of supply-chain (SC) disturbances. Such disturbances are understood as risks to the SC. This methodology includes a phased process starting with the analysis of potential disturbances using cause-and-effect diagrams, followed by a bow-tie analysis relating disturbances, causes, barriers and consequences, used to derive fuzzy rules applied in the SC risk assessment, and ending with advice on mitigating measures to control the consequences of disturbances. The evaluation of the methodology based on scenarios offered promising results about its capabilities. is only available to individual subscribers or to users at subscribing institutions.
Original languageEnglish
Pages (from-to)127-151
JournalInternational Journal of Decision Sciences, Risk and Management
Volume4
Issue numberNA
DOIs
Publication statusPublished - 1 Jan 2012

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Expert systems
Supply chains
Fuzzy set theory
Fuzzy rules
Risk assessment

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abstract = "A fuzzy expert system methodology is proposed, based on the combination of bow-tie diagrams and fuzzy set theory. It was designed to support the management of supply-chain (SC) disturbances. Such disturbances are understood as risks to the SC. This methodology includes a phased process starting with the analysis of potential disturbances using cause-and-effect diagrams, followed by a bow-tie analysis relating disturbances, causes, barriers and consequences, used to derive fuzzy rules applied in the SC risk assessment, and ending with advice on mitigating measures to control the consequences of disturbances. The evaluation of the methodology based on scenarios offered promising results about its capabilities. is only available to individual subscribers or to users at subscribing institutions.",
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