Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 127-151 |
| Journal | International Journal of Decision Sciences, Risk and Management |
| Volume | 4 |
| Issue number | NA |
| DOIs | |
| Publication status | Published - 1 Jan 2012 |
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A Fuzzy Expert System Model to Deal with Supply Chain Disturbances. / Machado, Virgílio António Cruz; Nunes, Isabel L.
In: International Journal of Decision Sciences, Risk and Management, Vol. 4, No. NA, 01.01.2012, p. 127-151.Research output: Contribution to journal › Article
TY - JOUR
T1 - A Fuzzy Expert System Model to Deal with Supply Chain Disturbances
AU - Machado, Virgílio António Cruz
AU - Nunes, Isabel L.
N1 - Sem PDF
PY - 2012/1/1
Y1 - 2012/1/1
N2 - 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.
AB - 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.
U2 - 10.1504/IJDSRM.2012.046622
DO - 10.1504/IJDSRM.2012.046622
M3 - Article
VL - 4
SP - 127
EP - 151
JO - International Journal of Decision Sciences, Risk and Management
JF - International Journal of Decision Sciences, Risk and Management
SN - 1753-7169
IS - NA
ER -