Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy

Gupta, Varun; Ivanov, Dmitry

doi:10.1080/00207543.2019.1686189

Cited by 97 publications

(31 citation statements)

References 47 publications

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“…We now justify some assumptions and parameters used for simulation experiments. Recent literature , Lücker et al, 2019, Schmitt et al, 2017Gupta and Ivanov, 2020) has recognized the risk mitigation inventory, lead-time and backup suppliers as crucial elements affecting the SC reactions to disruptions. Moreover, the ripple effect is usually accompanying the disruptions which are rarely to be localized and usually spread over many SC echelons (Ivanov et al, 2014, Garvey et al, 2015, Dolgui et al, 2018, Ivanov et al, 2019b, Pavlov et al, 2019b, Li and Zobel, 2020.…”

Section: Methodsmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

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Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively characterized by a long-term disruption existence, disruption propagations (i.e., the ripple effect), and high uncertainty. We present the results of a simulation study that opens some new research tensions on the impact of COVID-19 (SARS-CoV-2) on the global SCs. First, we articulate the specific features that frame epidemic outbreaks as a unique type of SC disruption risks. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of epidemic outbreaks on the SC performance using the example of coronavirus COVID-19 and anyLogistix simulation and optimization software. We offer an analysis for observing and predicting both short-term and long-term impacts of epidemic outbreaks on the SCs along with managerial insights. A set of sensitivity experiments for different scenarios allows illustrating the model's behavior and its value for decision-makers. The major observation from the simulation experiments is that the timing of the closing and opening of the facilities at different echelons might become a major factor that determines the epidemic outbreak impact on the SC performance rather than an upstream disruption duration or the speed of epidemic propagation. Other important factors are lead-time, speed of epidemic propagation, and the upstream and downstream disruption durations in the SC. The outcomes of this research can be used by decisionmakers to predict the operative and long-term impacts of epidemic outbreaks on the SCs and develop pandemic SC plans. Our approach can also help to identify the successful and wrong elements of risk mitigation/preparedness and recovery policies in case of epidemic outbreaks. The paper is concluded by summarizing the most important insights and outlining future research agenda.

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Section: Methodsmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

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1,593

1,348

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“…We illustrate the viability formation in an ISN through dynamic game-theoretic modelling of an ecosystem. Gametheoretical models have been considered suitable to address the SC disruption risks analysis (Gupta and Ivanov 2020). We follow the model of Bonneuil and Saint-Pierre (2005) rooted in population viability analysis as a method of risk assessment frequently used in conservation biology.…”

Section: Modelmentioning

confidence: 99%

Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

Ivanov

Dolgui

2020

International Journal of Production Research

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919

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An intertwined supply network (ISN) is an entirety of interconnected supply chains (SC) which, in their integrity secure the provision of society and markets with goods and services. The ISNs are open systems with structural dynamics since the firms may exhibit multiple behaviours by changing the buyer-supplier roles in interconnected or even competing SCs. From the positions of resilience, the ISNs as a whole provide services to society (e.g. food service, mobility service or communication service) which are required to ensure a long-term survival. The analysis of survivability at the level of ISN requires a consideration at a large scale as resilience of individual SCs. The recent example of coronavirus COVID-19 outbreak clearly shows the necessity of this new perspective. Our study introduces a new angle in SC resilience research when a resistance to extraordinary disruptions needs to be considered at the scale of viability. We elaborate on the integrity of the ISN and viability. The contribution of our position study lies in a conceptualisation of a novel decision-making environment of ISN viability. We illustrate the viability formation through a dynamic game-theoretic modelling of a biological system that resembles the ISN. We discuss some future research areas.

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“…A huge body of researches have been done on SC disruption risk management problems considering ripple effect (Ivanov, Pavlov, and Sokolov 2014a;Ivanov et al 2015;Sokolov et al 2016;Kamalahmadi and Parast 2017;Ivanov 2017;Sawik 2017;Ivanov et al 2017aIvanov et al , 2017bWang et al 2018;Hosseini, Ivanov, and Dolgui 2019a;Ivanov, Tsipoulanidis, and Schönberger 2019c;Gupta and Ivanov 2019;He et al 2019;Chen, Das, and Ivanov 2019;Ivanov, Dolgui, and Sokolov 2019b;Kinra et al 2019). The related literature review consists of two parts: (1) SC disruption risk management; and (2) the applications of probability intervals which can portray imperfect probability information.…”

Section: Literature Reviewmentioning

confidence: 99%

A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect

Liu

Chu

et al. 2020

International Journal of Production Research

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Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy

Cited by 97 publications

References 47 publications

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect

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