Structural-aware simulation analysis of supply chain resilience

Tan, Wen Jun; Cai, Wentong; Zhang, Allan N.

doi:10.1080/00207543.2019.1705421

Cited by 76 publications

(29 citation statements)

References 42 publications

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“…Besides TTR, we also used FI to assess SCRes, and to evaluate the loss of capacity during the recovery period ( Ivanov et al., 2016 ; Simchi-Levi et al., 2015 ). Notably, the higher the capacity loss due to an interruption, the less resilient is a supply chain against disruptions ( Tan et al., 2019 ). Fig.…”

Section: Methodsmentioning

confidence: 99%

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Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

Belhadi

Kamble

Jabbour

et al. 2021

Technological Forecasting and Social Change

595

512

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Highlights Insights into the impact of COVID-19 outbreak on automobile and airline supply chain is provided. Integrated time-to-recovery and financial impact analysis, empirical survey and semi-structured interviews were used. Localized supply sources and industry 4.0 technologies identified as significant strategies by automobile industry. Business continuity by defining operations at the airport and flights perceived significant strategy by airline industry. Real-time information sharing and cooperation among supply chain stakeholders is critical.

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Section: Methodsmentioning

confidence: 99%

“…Proactive strategies are primarily technology-driven strategies that rely on developing technical infrastructures, such as digital connectivity and supply chain automation to avoid future disruptions ( Ralston and Blackhurst, 2020 ; Tan et al., 2019 ; Hofmann et al., 2019 ). Iakovou et al.…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 99%

Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

Belhadi

Kamble

Jabbour

et al. 2021

Technological Forecasting and Social Change

595

512

View full text Add to dashboard Cite

show abstract

“…Simulation studies allow adding additional, dynamic features to the optimization techniques which are widely used in SC risk analysis , Sadghiani et al, 2015, Cui et al, 2016, Ivanov et al, 2016 along with heuristic approaches (Meena and Sarmah, 2013, Zhang et al, 2015, Hasani and Khosrojerdi, 2016. Most of the existing studies utilize discrete-event simulation approach (Schmitt and Singh, 2012, Ivanov, 2017a, 2017b, Schmitt et al, 2017, Ivanov and Rozhkov, 2017, Macdonald et al, 2018, Ivanov, 2019, Tan et al, 2020 while some studies use agent-based (Li and Chan, 2013, Hou et al, 2018 and system dynamics (Wilson, 2007, Aboah et al, 2019 methods, too. A very few studies (e.g., Hackl and Dubernet, 2019) have incorporated the simulation and transportation disruptions during the epidemic crises.…”

Section: Simulation-based Sc Risk Modelingmentioning

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

1,652

1,348

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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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“…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). emphasise that complex networks become more vulnerable to severe disruptions which change the SC structures and are involved with SC structural dynamics.…”

Section: Viability Vs Stability Robustness and Resilience Of Scsmentioning

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

1,229

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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Structural-aware simulation analysis of supply chain resilience

Cited by 76 publications

References 42 publications

Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

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

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