2024-03-29T07:19:21Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/530802022-05-03T20:47:41Zcom_10324_1180com_10324_931com_10324_894col_10324_1375
Díaz Curbelo, Alina
Gento Municio, Ángel Manuel
Redondo Castán, Alfonso
Aqlan, Faisal
2019
Producción Científica
Supply chain risk management requires dealing with uncertainty, interrelations, and subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for risk management that considers the impact on multiple performance objectives, the relation between risk agents, and the risk event interdependencies. An aggregated risk score is proposed to capture the cascading effects of common risk triggers and quantify the aggregated score by risk agent and objective. The approach also uses fuzzy logic to allow for the treatment of vague and ambiguity data as input parameters to the model from different domains and scales, according to knowledge and criteria nature. The integration of the balanced scorecard tool improves the analysis and prioritization of mitigation strategies in decision-making, both by risk agent and by strategic objective. A case study of a telecommunication company is presented to illustrate the applicability of the proposed approach.
application/pdf
https://uvadoc.uva.es/handle/10324/53080
eng
MDPI
A fuzzy-based holistic approach for supply chain risk assessment and aggregation considering risk interdependencies
info:eu-repo/semantics/article
TEXT
UVaDOC. Repositorio Documental de la Universidad de Valladolid
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