Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

• A. Díaz-Curbelo ^[1] ; A.M. Gento Municio ^[1]
  1. [1] Universidad de Valladolid

     Universidad de Valladolid

     Valladolid, España

     
• Localización: Organizational Engineering in Industry 4.0 / David de la Fuente García (ed. lit.), Raúl Pino Díez (ed. lit.), Borja Ponte Blanco (ed. lit.), Rafael Rosillo Camblor (ed. lit.), 2021, ISBN 978-3-030-67708-4, págs. 137-148
• Idioma: inglés
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• Resumen

  • 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.