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A graph-based model to measure structural redundancy for supply chain resilience

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  • Wen Jun Tan
  • Allan N. Zhang
  • Wentong Cai

Abstract

Globalisation and lean initiatives increase the vulnerabilities of the supply chains (SC), where disruptions in any plant in a supply chain network (SCN) can propagate throughout the whole SCN. Redundancy is part of the SC re-engineering to improve supply chain resilience (SCRES). This paper presents a conceptual model of an SCN using graph theory, considering the relationships between plants and materials. Based on the model, the structural redundancy of the SCN is measured, which is used to assess SCRES. This assessment approach focuses on the resilience of the SCN against disruptions. Case studies are discussed to illustrate the applicability of this model and show that increasing structural redundancy of the SCN improves SCRES against disruptions.

Suggested Citation

  • Wen Jun Tan & Allan N. Zhang & Wentong Cai, 2019. "A graph-based model to measure structural redundancy for supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6385-6404, October.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:20:p:6385-6404
    DOI: 10.1080/00207543.2019.1566666
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    Cited by:

    1. Chan He & Qianru An & Xu Xu & Guoshuai Zhang, 2024. "Enhancing Resilience and Coordination in Sustainable Logistics Service Supply Chains Through Integrated Investment Contracts," Sustainability, MDPI, vol. 16(23), pages 1-25, December.
    2. Aditya Kamat & Saket Shanker & Akhilesh Barve & Kamalakanta Muduli & Sachin Kumar Mangla & Sunil Luthra, 2022. "Uncovering interrelationships between barriers to unmanned aerial vehicles in humanitarian logistics," Operations Management Research, Springer, vol. 15(3), pages 1134-1160, December.
    3. Pinyarat Sirisomboonsuk & James Burns, 2023. "Sustainability in Supply Chains through Rapid Capacity Increases and Minimized Disruptions," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    4. Azadegan, Arash & Modi, Sachin & Lucianetti, Lorenzo, 2021. "Surprising supply chain disruptions: Mitigation effects of operational slack and supply redundancy," International Journal of Production Economics, Elsevier, vol. 240(C).
    5. Ding, Yueting & Zhang, Ming & Chen, Sai & Nie, Rui, 2020. "Assessing the resilience of China’s natural gas importation under network disruptions," Energy, Elsevier, vol. 211(C).
    6. Janpriy Sharma & Mohit Tyagi & Arvind Bhardwaj, 2024. "Valuation of inter-boundary inefficiencies accounting IoT based monitoring system in processed food supply chain," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(4), pages 1374-1396, April.
    7. Basu R, Jothi & Abdulrahman, Muhammad D. & Yuvaraj, M., 2023. "Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Arsalan Zahid Piprani & Noor Ismawati Jaafar & Suhana Mohezar Ali & Muhammad Shujaat Mubarik & Muhammad Shahbaz, 2022. "Multi-dimensional supply chain flexibility and supply chain resilience: the role of supply chain risks exposure," Operations Management Research, Springer, vol. 15(1), pages 307-325, June.
    9. Dmitry Ivanov & Boris Sokolov, 2019. "Simultaneous structural–operational control of supply chain dynamics and resilience," Annals of Operations Research, Springer, vol. 283(1), pages 1191-1210, December.
    10. Alikhani, Reza & Ranjbar, Amirhossein & Jamali, Amir & Torabi, S. Ali & Zobel, Christopher W., 2023. "Towards increasing synergistic effects of resilience strategies in supply chain network design," Omega, Elsevier, vol. 116(C).
    11. Reza Kiani Mavi & Neda Kiani Mavi & Seyed Ashkan Hosseini Shekarabi & Matthew Pepper’s & Sean Arisian, 2023. "Supply Chain Resilience: A Common Weights Efficiency Analysis with Non-discretionary and Non-controllable Inputs," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 77-99, December.
    12. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    13. Chen, Sai & Zhang, Ming & Ding, Yueting & Nie, Rui, 2020. "Resilience of China's oil import system under external shocks: A system dynamics simulation analysis," Energy Policy, Elsevier, vol. 146(C).
    14. Jiakuan Chen & Haoyu Wen, 2023. "The application of complex network theory for resilience improvement of knowledge-intensive supply chains," Operations Management Research, Springer, vol. 16(3), pages 1140-1161, September.
    15. Seyed Ashkan Zarghami & Jantanee Dumrak, 2024. "Evaluating Vulnerability of Supply Chain Networks to Capacity Reduction," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(3), pages 629-646, September.
    16. Mahyar Habibi Rad & Mohammad Mojtahedi & Michael J. Ostwald, 2021. "The Integration of Lean and Resilience Paradigms: A Systematic Review Identifying Current and Future Research Directions," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    17. Liu, Yi & Wang, Jianliang, 2024. "Risk analysis and resilience assessment of China's oil imports after the Ukraine Crisis：A network-based dynamics model," Energy, Elsevier, vol. 299(C).
    18. Mozhu Wang & Jianming Yao, 2023. "Replenishment and delivery optimization for unmanned vending machines service system based on fuzzy clustering," Electronic Commerce Research, Springer, vol. 23(4), pages 2419-2461, December.
    19. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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