RT info:eu-repo/semantics/article
T1 A fuzzy-based holistic approach for supply chain risk assessment and aggregation considering risk interdependencies
A1 Díaz Curbelo, Alina
A1 Gento Municio, Ángel Manuel
A1 Redondo Castán, Alfonso
A1 Aqlan, Faisal
K1 Risk assessment
K1 Riesgo - Evaluación
K1 Risk management
K1 Riesgo - Gestión
K1 Supply chains
K1 Cadenas de suministro
K1 Fuzzy logic
K1 Lógica difusa
K1 Telecommunications
K1 Telecomunicaciones
AB 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.
PB MDPI
SN 2076-3417
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/53080
UL https://uvadoc.uva.es/handle/10324/53080
LA eng
NO Applied Sciences, 2019, vol. 9, n. 24, 5329
NO Producción Científica
DS UVaDOC
RD 22-dic-2024