Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain
- A. Díaz-Curbelo 1
- A.M. Gento Municio 1
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1
Universidad de Valladolid
info
- Fuente, David de la (ed. lit.)
- Raúl Pino (ed. lit.)
- Borja Ponte (ed. lit.)
- Rafael Rosillo (ed. lit.)
Publisher: Springer Suiza
ISBN: 978-3-030-67707-7, 978-3-030-67708-4
Year of publication: 2021
Pages: 137-148
Congress: International Conference on Industrial Engineering and Industrial Management (13. 2021. Gijón)
Type: Conference paper
Abstract
The interdependent nature of supply chain elements and events requires risk systems must be assessed as an interrelated framework to optimize their management and integrate effectively with other decision-making tools in uncertain environments. 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 and artificial intelligence methods are the most common types adopted, with increasing trend and effectiveness of Bayesian and fuzzy theory approaches.