RT info:eu-repo/semantics/bookPart
T1 Quantitative and qualitative models for managing risk interdependencies in supply chain
A1 Díaz Curbelo, Alina
A1 Gento Municio, Ángel Manuel
K1 Supply chain
K1 Risk assessment
K1 Dependency
K1 Quantitative methods
AB The interdependent nature of supply chain elements and events requiresrisk systems must be assessed as an interrelated framework to optimize theirmanagement and integrate effectively with other decision-making tools in uncertainenvironments. This research shows a synthesis and analysis of the main qualitative/quantitative methods that have been used in the literature considering the treatment of event dependencies in supply chain risk management in the period 2003–2018. The results revealed that the integration with disruption analysis tools andartificial intelligence methods are the most common types adopted, with increasingtrend and effectiveness of Bayesian and fuzzy theory approaches.
PB Springer
SN 978-3-030-67707-7
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/73880
UL https://uvadoc.uva.es/handle/10324/73880
LA eng
NO David de la Fuente, Raúl Pino, Borja Ponte, Rafael Rosillo (eds.). Organizational Engineering in Industry 4.0. ICIEOM 2018. Lecture Notes in Management and Industrial Engineering. 2021, p. 137-148.
NO Producción Científica
DS UVaDOC
RD 25-ene-2025