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Methods for mitigating disruptions in complex supply chain structures: a systematic literature review

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  • Tobias Bier
  • Anne Lange
  • Christoph H. Glock

Abstract

Supply chain risk management is extremely important for the success of a company. Due to the increasing complexity of supply chains, avoiding and mitigating the effects of disruptions is very challenging. This article presents the results of a systematic literature review and content analysis in order to provide a comprehensive overview of the methods that are currently used for mitigating supply chain disruptions. The results of the review indicate that research in this field is interdisciplinary and that no common modelling language has emerged thus far. Prior research mostly redraws to graph theory and/or social network analysis, although a few methods have been developed recently specifically for supply chain risk management. We observe that prior contributions addressed risk and structure mostly separately and that only a few works focused on their intersection. The results of this review are consolidated in a research agenda that calls for research on the risk-structure-interface and the development of proxy methods.

Suggested Citation

  • Tobias Bier & Anne Lange & Christoph H. Glock, 2020. "Methods for mitigating disruptions in complex supply chain structures: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1835-1856, March.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:6:p:1835-1856
    DOI: 10.1080/00207543.2019.1687954
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    Citations

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    Cited by:

    1. Ambra Amico & Luca Verginer & Giona Casiraghi & Giacomo Vaccario & Frank Schweitzer, 2023. "Adapting to Disruptions: Flexibility as a Pillar of Supply Chain Resilience," Papers 2304.05290, arXiv.org.
    2. Gast, Johannes & Kirkach, Evelina & Ivanov, Dmitry, 2022. "Structured literature review of transport networks and Supply Chain Resilience," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 469-496, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    3. Sudhanshu Joshi & Manu Sharma, 2022. "Sustainable Performance through Digital Supply Chains in Industry 4.0 Era: Amidst the Pandemic Experience," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    4. David Berlepsch & Fred Lemke & Matthew Gorton, 2024. "The Importance of Corporate Reputation for Sustainable Supply Chains: A Systematic Literature Review, Bibliometric Mapping, and Research Agenda," Journal of Business Ethics, Springer, vol. 189(1), pages 9-34, January.
    5. Bygballe, Lena E. & Dubois, Anna & Jahre, Marianne, 2023. "The importance of resource interaction in strategies for managing supply chain disruptions," Journal of Business Research, Elsevier, vol. 154(C).
    6. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    7. Satyananda Swain & Manas Ranjan Patra, 2024. "A Distributed Software Agent-centric Framework for Supply Chain Networks Empowered by Blockchain: Insights into Smart Contracts," SN Operations Research Forum, Springer, vol. 5(2), pages 1-27, June.
    8. Berger, Niklas & Schulze-Schwering, Stefan & Long, Elisa & Spinler, Stefan, 2023. "Risk management of supply chain disruptions: An epidemic modeling approach," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1036-1051.
    9. Zuhal Cilingir Uk & Cigdem Basfirinci & Amit Mitra, 2022. "Weighted Interpretive Structural Modeling for Supply Chain Risk Management: An Application to Logistics Service Providers in Turkey," Logistics, MDPI, vol. 6(3), pages 1-22, August.
    10. Wang, Jiepeng & Zhou, Hong & Sun, Xinlei & Yuan, Yufei, 2023. "A novel supply chain network evolving model under random and targeted disruptions," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    11. Lydia Novoszel & Tina Wakolbinger, 2022. "Meta-analysis of Supply Chain Disruption Research," SN Operations Research Forum, Springer, vol. 3(1), pages 1-25, March.
    12. Weili Yin & Wenxue Ran, 2021. "Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    13. Jessica Olivares-Aguila & Alejandro Vital-Soto, 2021. "Supply Chain Resilience Roadmaps for Major Disruptions," Logistics, MDPI, vol. 5(4), pages 1-18, November.
    14. Chen, Li-Ming & Chang, Wei-Lun, 2021. "Supply- and cyber-related disruptions in cloud supply chain firms: Determining the best recovery speeds," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    15. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    16. Parajuli, Anubhuti & Kuzgunkaya, Onur & Vidyarthi, Navneet, 2021. "The impact of congestion on protection decisions in supply networks under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    17. Wang, Jiepeng & Zhou, Hong & Zhao, Yujie, 2022. "Behavior evolution of supply chain networks under disruption risk — From aspects of time dynamic and spatial feature," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    18. Christian L. Rossetti & Donald P. Warsing & Barbara B. Flynn & Cecil C. Bozarth, 2023. "Complex and lean or lean and complex? The role of supply chain complexity in lean production," Operations Management Research, Springer, vol. 16(3), pages 1382-1412, September.
    19. Rumeng Zhang & Lihong Li, 2023. "Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain," Sustainability, MDPI, vol. 15(13), pages 1-24, June.

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