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2019
DOI: 10.1007/s10479-019-03182-6
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Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics

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Cited by 115 publications
(64 citation statements)
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“…The simulation models are especially useful for analysis when the impacts of disruptions on SC performance need to be computed under conditions of time-dependant changes (Klibi andMartel, 2012, Ivanov, 2018b). Besides, detailed control policies can be analysed subject to a variety of financial, customer, and operational performance indicators (Li et al, 2019, Pavlov et al, 2019a, Ivanov, 2020. The simulation models consider logical and randomness constraints, such as randomness in disruptions, inventory, production, sourcing, and shipment control policies, and gradual capacity degradation and recovery .…”
Section: Simulation-based Sc Risk Modelingmentioning
confidence: 99%
“…The simulation models are especially useful for analysis when the impacts of disruptions on SC performance need to be computed under conditions of time-dependant changes (Klibi andMartel, 2012, Ivanov, 2018b). Besides, detailed control policies can be analysed subject to a variety of financial, customer, and operational performance indicators (Li et al, 2019, Pavlov et al, 2019a, Ivanov, 2020. The simulation models consider logical and randomness constraints, such as randomness in disruptions, inventory, production, sourcing, and shipment control policies, and gradual capacity degradation and recovery .…”
Section: Simulation-based Sc Risk Modelingmentioning
confidence: 99%
“…Research in SC reaction to disturbances is related to the semantic network analysis level with a focus on structural properties, complexity roles, and node/arc criticality . The studies (Basole and Bellamy 2014;Dolgui 2014a, 2014b;Kim, Chen, and Linderman 2015;Brintrup, Wang, and Tiwari 2015;Sawik 2017;Macdonald et al 2018;Yoon et al 2018;Scheibe and Blackhurst 2018;Pavlov et al 2018;Ojha et al 2018;Giannoccaro, Nair, and Choi 2017;Ivanov 2018Ivanov , 2019Dolgui, Ivanov, and Sokolov 2018;Li et al 2019;Pavlov et al 2019b) recognised the structural SC properties as crucial determinant to maintain stability and robustness and to achieve resilience. Another important observation in literature is a linkage of SC complexity and resilience (Blackhurst et al 2005;Nair and Vidal 2011;Bode and Wagner 2015;Dubey et al 2019a;Tan, Cai, and Zhang 2020).…”
Section: Viability Vs Stability Robustness and Resilience Of Scsmentioning
confidence: 99%
“…The viability of the supply chain is the highest analysis level for SC reactions to the disturbances based upon stability, robustness and resilience (Ivanov 2020). In past research studies, SC response to the disturbances has been studied at the semantic network analysis level, structural properties and complexity factors (Ivanov, Sokolov, and Kaeschel 2010;Li and Zobel 2020;Pavlov et al 2019). The extent of the viability is survival orientation and ecosystem focus.…”
Section: Factors For Enhancing Survivability Of Sustainable Supply Chmentioning
confidence: 99%