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2021 | OriginalPaper | Chapter

Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

Authors : A. Díaz-Curbelo, A. M. Gento Municio

Published in: Organizational Engineering in Industry 4.0

Publisher: Springer International Publishing

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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.

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previous chapter Application of a Methodology for the Management of Risk in a Pharmaceutical Supply Chain

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Title: Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain
Authors: A. Díaz-Curbelo
A. M. Gento Municio
Publisher: Springer International Publishing
Book: Organizational Engineering in Industry 4.0
Print ISBN: 978-3-030-67707-7

Electronic ISBN: 978-3-030-67708-4

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-67708-4_15

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