Isabel fernandez

Dr. Isabel fernandez

Univeristy of Oviedo
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2009 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
JPJavier Puente
Javier Puente
AGAlberto Gomez
Alberto Gomez
Isabel fernandezIsabel fernandez
Isabel fernandez
PPPaolo Priore
Paolo Priore

1 July 2005 in Journal of Purchasing and Supply Management
Verified
Journal Article
Closed access
Isabel fernandezIsabel fernandez
Isabel fernandez
TKTauno Kekäle
Tauno Kekäle

1 June 2003 in International Journal of Production Economics
Verified
Journal Article
Closed access
AGAlberto Gomez
Alberto Gomez
Isabel fernandezIsabel fernandez
Isabel fernandez
DGD. De la Fuente Garcı́a
D. De la Fuente Garcı́a
PGP.J. Garcı́a
P.J. Garcı́a

25 February 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
JPJavier Puente
Javier Puente
Isabel fernandezIsabel fernandez
Isabel fernandez
AGAlberto Gomez
Alberto Gomez
PPPaolo Priore
Paolo Priore
This paper proposes the design of a conceptual model of quality assessment in European higher education institutions (HEIs) that takes into account some of the critical reflections made by certain authors in the literature regarding standards and guidelines suggested for this purpose by the European Higher Education Area (EHEA). In addition, the evaluation of the conceptual model was carried out by means of the reliable hybrid methodology MCDM-FIS (multicriteria decision making approach–fuzzy inference system) using FDEMATEL and FDANP methods (fuzzy decision-making trial and evaluation laboratory and FDEMATEL-based analytic network process). The choice of these methodologies was justified by the existing interrelationships among the criteria and dimensions of the model and the degree of subjectivity inherent in its evaluation processes. Finally, it is suggested to include sustainability as a determining factor in the university context due to its great relevance in the training of future professionals.
1

1 April 2013 in Applied Soft Computing
Verified
Journal Article
Closed access
NGNazario García
Nazario García
JPJavier Puente
Javier Puente
Isabel fernandezIsabel fernandez
Isabel fernandez
PPPaolo Priore
Paolo Priore

1 June 2008 in Concurrent Engineering
Verified
Journal Article
Closed access
Isabel fernandezIsabel fernandez
Isabel fernandez
JPJavier Puente
Javier Puente
NGNazario García
Nazario García
AGAlberto Gomez
Alberto Gomez
The considerable amount of uncertainty involved in defining the factors that affect reverse logistics (RL) decision-making and the complex interrelationships between those factors make it rather difficult to decide what recovery policy a business should pursue. This article proposes a fuzzy system that helps in such decision-making and thereby mitigates these difficulties. The knowledge related to the decision is incorporated into the system by means of conditional rules, which serve to provide the ideal recovery policy for each particular case. The model proposed is applied to the analysis of a number of examples and proves to be a versatile tool that provides coherent results. These characteristics could be of critical importance especially in the point of entry into the RL pipeline and in the centralized return centres.