Ripple effect modelling of supplier disruption : integrated Markov chain and dynamic Bayesian network approach
Year of publication: |
2020
|
---|---|
Authors: | Hosseini, Seyedmohsen ; Ivanov, Dmitry ; Dolgui, Alexandre |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 58.2020, 11, p. 3284-3303
|
Subject: | supply chain risk management | Bayesian methods | supply chain dynamics | supply chain resilience | ripple effect | Markov modelling | Lieferkette | Supply chain | Markov-Kette | Markov chain | Risikomanagement | Risk management | Bayes-Statistik | Bayesian inference | Theorie | Theory | Lieferantenmanagement | Supplier relationship management |
-
Liu, Ming, (2023)
-
Hosseini, Seyedmohsen, (2022)
-
Ripple effect quantification by supplier risk exposure assessment
Kinra, Aseem, (2020)
- More ...
-
Review of quantitative methods for supply chain resilience analysis
Hosseini, Seyedmohsen, (2019)
-
OR and analytics for digital, resilient, and sustainable manufacturing 4.0
Choi, Tsan-Ming, (2022)
-
Design and management of energy-efficient and energy-resilient supply chains
Dolgui, Alexandre, (2024)
- More ...