A new method for system reliability evaluation, Microelectronics Reliability, vol.12, issue.5, pp.435-440, 1973. ,
DOI : 10.1016/0026-2714(73)90116-9
Firm's resilience to supply chain disruptions: Scale development and empirical examination, Journal of Operations Management, vol.33, issue.34, pp.33-111, 2015. ,
DOI : 10.1016/j.jom.2014.11.002
Co-opetition and investment for supply-chain resilience, pp.583-603, 2009. ,
DOI : 10.2139/ssrn.1288022
The impact of supply base complexity on disruptions and performance: the moderating effects of slack and visibility, International Journal of Production Research, vol.47, issue.1, pp.53-6903, 2015. ,
DOI : 10.1002/j.2158-1592.2010.tb00140.x
Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions, Journal of Operations Management, vol.36, pp.215-228, 2015. ,
DOI : 10.1016/j.jom.2014.12.004
The combinatorics of network reliability, 1987. ,
Risk readiness and resiliency planning for a supply chain, International Journal of Production Research, vol.47, issue.1, pp.6752-6771, 2015. ,
DOI : 10.1016/j.eswa.2010.09.156
Graph Theory, 2012. ,
Supply chain engineering: useful methods and techniques, 2010. ,
DOI : 10.1007/978-1-84996-017-5
URL : https://hal.archives-ouvertes.fr/emse-00675734
An analytical framework for supply network risk propagation: A Bayesian network approach, European Journal of Operational Research, vol.243, issue.2, pp.618-627, 2014. ,
DOI : 10.1016/j.ejor.2014.10.034
Supply chain resilience: role of complexities and strategies, International Journal of Production Research, vol.47, issue.1, pp.6809-6819, 2015. ,
DOI : 10.1509/jmkg.68.1.1.24036
Evaluation mechanism for structural robustness of supply chain considering disruption propagation, International Journal of Production Research, vol.16, issue.4, pp.135-151, 2016. ,
DOI : 10.1016/j.cor.2011.09.024
Reliability evaluation and adjustment of supply chain network design with demand fluctuations, International Journal of Production Economics, vol.132, issue.1, pp.131-145, 2011. ,
DOI : 10.1016/j.ijpe.2011.03.020
Managing Risk of Supply Disruptions: Incentives for Capacity Restoration, Production and Operations Management, vol.55, issue.2, pp.137-150, 2013. ,
DOI : 10.1287/mnsc.1080.0943
A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations, European Journal of Operational Research, vol.200, issue.2, pp.409-420, 2010. ,
DOI : 10.1016/j.ejor.2009.01.002
Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty, European Journal of Operational Research, vol.224, issue.2, pp.313-323, 2013. ,
DOI : 10.1016/j.ejor.2012.08.021
Structure dynamics control approach to supply chain planning and adaptation, International Journal of Production Research, vol.4, issue.2, pp.6133-6149, 2012. ,
DOI : 10.1080/00207540701324150
Dual problem formulation and its application to optimal redesign of an integrated production???distribution network with structure dynamics and ripple effect considerations, International Journal of Production Research, vol.45, issue.8, pp.51-5386, 2013. ,
DOI : 10.1016/j.eswa.2011.07.137
The Ripple effect in supply chains: trade-off ???efficiency-flexibility-resilience??? in disruption management, International Journal of Production Research, vol.47, issue.1, pp.2154-2172, 2014. ,
DOI : 10.1007/978-0-387-79934-6
URL : https://hal.archives-ouvertes.fr/emse-00881470
Optimal distribution (re)planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics, European Journal of Operational Research, vol.237, issue.2, pp.758-770, 2014. ,
DOI : 10.1016/j.ejor.2014.02.023
Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies, Transportation Research Part E: Logistics and Transportation Review, vol.90, 2016. ,
DOI : 10.1016/j.tre.2015.12.007
URL : https://hal.archives-ouvertes.fr/hal-01313260
A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research, International Journal of Production Economics, vol.171, pp.116-133, 2016. ,
DOI : 10.1016/j.ijpe.2015.10.023
Developing a resilient supply chain through supplier flexibility and reliability assessment, International Journal of Production Research, vol.55, issue.3, pp.302-321, 2016. ,
DOI : 10.1016/j.omega.2008.05.006
Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures, Reliability Engineering & System Safety, vol.138, pp.263-272, 2015. ,
DOI : 10.1016/j.ress.2015.02.007
Guilt by Association: Strategic Failure Prevention and Recovery Capacity Investments, Management Science, vol.59, issue.7, pp.1631-1649, 2013. ,
DOI : 10.1287/mnsc.1120.1658
Supply network disruption and resilience: A network structural perspective, Journal of Operations Management, vol.33, issue.34, pp.33-34, 2015. ,
DOI : 10.1016/j.jom.2014.10.006
New methods of calculating the Genome of structure and the failure criticality of the complex objects' elements, Transport and Telecommunication, vol.11, issue.4, pp.4-13, 2010. ,
Hedging against disruptions with ripple effects in location analysis, Omega, vol.40, issue.1, pp.21-30, 2012. ,
DOI : 10.1016/j.omega.2011.03.003
Network reliability with deteriorating product and production capacity through a multi-state delivery network, International Journal of Production Research, vol.52, issue.22, pp.52-6681, 2014. ,
DOI : 10.1080/07408170601013653
On the quantification of operational supply chain resilience, International Journal of Production Research, vol.47, issue.1, pp.6736-6751, 2015. ,
DOI : 10.1016/j.cor.2011.09.024
Supply network topology and robustness against disruptions ??? an investigation using multi-agent model, International Journal of Production Research, vol.19, issue.5, pp.1391-1404, 2010. ,
DOI : 10.1287/mnsc.1060.0515
Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool, Journal of Business Logistics, vol.29, issue.1, pp.46-76, 2013. ,
DOI : 10.1002/j.2158-1592.2008.tb00081.x
The Methods of the Possibility Theory in the Problems of Optimal Estimation and Decision Making: VI. Fussy Sets. Independence. P-Complection.Methods for Estimation Fuzzy Sets and Their Parameters, Pattern Recognition and Image Analysis, vol.12, issue.2, pp.107-115, 2002. ,
Reliability of Engineering Systems. Principles and Analysis, 1976. ,
Measurement and optimization of robust stability of multiclass queueing networks: Applications in dynamic supply chains, European Journal of Operational Research, vol.229, issue.1, pp.179-189, 2013. ,
DOI : 10.1016/j.ejor.2013.02.002
A supply chain view of the resilient enterprise, MIT Sloan Management Review, vol.47, issue.1, pp.41-48, 2005. ,
From superstorms to factory fires: Managing unpredictable supply chain disruptions, Havard Business Review, 2014. ,
A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets and Systems, pp.145-155, 1990. ,
OR/MS models for supply chain disruptions: a review, IIE Transactions, vol.35, issue.2, pp.89-109, 2016. ,
DOI : 10.1016/j.omega.2008.05.006
Structural quantification of the ripple effect in the supply chain, International Journal of Production Research, vol.37, issue.3, pp.152-169, 2016. ,
DOI : 10.1016/j.cor.2011.09.024
URL : https://hal.archives-ouvertes.fr/emse-01184871
Measuring supply chain resilience using a deterministic modeling approach, Computers & Industrial Engineering, vol.74, pp.11-25, 2014. ,
DOI : 10.1016/j.cie.2014.04.019
Theory of fuzzy integrals and its applications, 1974. ,
Complex interdependent supply chain networks: Cascading failure and robustness, Physica A: Statistical Mechanics and its Applications, vol.443, pp.58-69, 2016. ,
DOI : 10.1016/j.physa.2015.09.082
Assessing the vulnerability of supply chains using graph theory, International Journal of Production Economics, vol.126, issue.1, pp.121-129, 2010. ,
DOI : 10.1016/j.ijpe.2009.10.007
Evaluation and Analysis of Logistic Network Resilience With Application to Aircraft Servicing, IEEE Systems Journal, vol.3, issue.2, pp.166-173, 2009. ,
DOI : 10.1109/JSYST.2009.2017395
The impact of supply chain integration on the ???snowball effect??? in the transmission of disruptions: An empirical evaluation of the model, International Journal of Production Economics, vol.157, issue.1, pp.89-104, 2014. ,
DOI : 10.1016/j.ijpe.2013.08.010
Methodology for supply chain disruption analysis, International Journal of Production Research, vol.9, issue.7, pp.1665-1682, 2007. ,
DOI : 10.1109/41.334574
Predicted supply chain resilience based on structural evolution against random supply disruptions, International Journal of Systems Science: Operations & Logistics, vol.8, issue.2, pp.105-117, 2014. ,
DOI : 10.1016/j.cor.2011.09.024
Characterizing multi-event disaster resilience, Computers & Operations Research, vol.42, pp.83-94, 2014. ,
DOI : 10.1016/j.cor.2011.09.024