Revealing interfaces of supply chain resilience and sustainability: a simulation study
By Dmitry A. Ivanov. International Journal of Production Research, 2018
389 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/8ba04546074f5655b0dd490dddb3eece1991ff07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Dmitry A. Ivanov
- Alexandre Dolgui
- Boris V. Sokolov
- Niels Bugert
- Rainer Lasch
- Jacob Lohmer
- Panagiota Galetsi
- Korina Katsaliaki
In Strategy and Management
- Dmitry A. Ivanov
- Alexandre Dolgui
- Boris V. Sokolov
- Fatemeh Sabouhi
- Niels Bugert
- Rainer Lasch
- Jacob Lohmer
- Armin Jabbarzadeh
Citations in the corpus
- Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020, positive): “3) has been created in the model in line with the study (Ivanov, 2018a) .”
- Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study (2020, positive): “…2016; Papadopoulos et al., 2017; Stecke and Kumar, 2009) and the effects of disruptions no longer only affect individual members but tend to spread across the entire network, a phenomenon known as the ripple effect (Dolgui et al., 2018, Dolgui et al., 2020b; Ivanov, 2018a; Pavlov et al., 2019).”
- Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience (2018, positive): “The results of a discrete-event simulation study by Ivanov (2017a) showed that the ripple effect enhances the performance impact of disruptions.”
- Supply chain disruptions and resilience: a major review and future research agenda (2021, background): “Simulation: discreteevent simulation Ripple effect– single-multiple sourcing/capacity change Ivanov (2018) The detailed large-scale discrete-event simulation model replicates the supply chain of a smartphone and under the execution of different scenarios it determines the factors that mitigate the…”
- Resilient and sustainable supply chain design: sustainability analysis under disruption risks (2018, methodology): “Ivanov (2017) examines the intersections between resilience and sustainability in supply chains.”
- Supply chain disruption propagation: a systemic risk and normal accident theory perspective (2018, background): “Each dimension interacts with the other two, and it is critical not to ignore these interactions as they will cause ripple effects downstream (Ivanov 2017a).”
- Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain† (2019, methodology): “…propagation in the SC, the resulting SC structural dynamics, and the performance impact of this propagation (Hosseini and Barker 2016; Sokolov et al. 2016; Mizgier 2017; Ivanov 2017a; Dolgui, Ivanov, and Sokolov 2018a; Pavlov et al. 2018; Scheibe and Blackhurst 2018; Ivanov 2018a, 2018b).”
- Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023, background): “…recognized by business practitioners and academics as an effective means to guard against disruptions and reduce supply chain vulnerabilities (Ivanov, 2017; Jüttner and Maklan, 2011; Pettit et al., 2013; Queiroz et al., 2022; Ivanov and Das, 2020; Naghshineh and Carvalho, * Corresponding…”
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018, methodology): “Ivanov (2017) considered a four-stage SC that comprises a man-ufacturer, a central distribution centre, two regional distribution centres and ten customers in different European cities.”
- Ripple effect in the supply chain: an analysis and recent literature (2018, methodology): “The need for ripple effect analysis in the SC has been recognized and systematically considered in simulation literature with regards to risk analysis, performance impact and resilience assessment (Ivanov 2017a,b).”
- Blockchain technology and its relationships to sustainable supply chain management (2018, background): “2016), material and information flow coordination (Ivanov, Sokolov, and Raguinia 2014), virtual enterprises (Sarkis, Talluri, and Gunasekaran 2007; Crispim and de Sousa 2010), agile supply chain management (Sarkis and Talluri 2001; Cabral, Grilo, and Cruz-Machado 2012), flexibility in supply chains ”
- Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020, methodology): “• Viability The ability to maintain itself and survive in a changing environment over a long period of time through a redesign of the structures and replanning of economic performance with long-term impacts (Ivanov 2018b, p. 59; Ivanov and Dolgui 2020b).”