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Structural-aware simulation analysis of supply chain resilience

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

Abstract

Supply chain resilience (SCRES) refers to the ability of a supply chain (SC) to both resist disruptions and recover its operational capability after disruptions. This paper presents a simulation model that includes network structural properties in the analysis of SCRES. This simulation model extends an existing graph model to consider operational behaviours in order to capture disruption-recovery dynamics. Through structural analysis of a supply chain network (SCN), mitigation strategies are designed to build redundancy, while contingency strategies are developed to prioritise recovery of the affected SCN. SCRES indexes are proposed by sampling SC performance measures of disruption for each plant and aggregating the measures based on the criticality of the plants in the SCN. The applicability of this simulation model is demonstrated in a real-world case study of different disruption scenarios. The application of mitigation and contingency strategies is shown to both improve recovery and reduce the total costs associated with disruptions. Through such simulation-based analysis, firms can gain insight into the SCRES of their existing SCNs and identify suitable strategies to improve SCRES by considering recovery time and costs.

Suggested Citation

  • Wen Jun Tan & Wentong Cai & Allan N. Zhang, 2020. "Structural-aware simulation analysis of supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5175-5195, September.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:17:p:5175-5195
    DOI: 10.1080/00207543.2019.1705421
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    Cited by:

    1. Mohammed, Ahmed & Yazdani, Morteza & Govindan, Kannan & Chatterjee, Prasenjit & Hubbard, Nicolas, 2023. "Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    2. 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).
    3. Xiongping Yue & Dong Mu & Chao Wang & Huanyu Ren & Jianbang Du & Pezhman Ghadimi, 2024. "Disruption risks to Chinese overseas flat panel display supply networks under China’s zero-COVID policy," Operations Management Research, Springer, vol. 17(2), pages 406-437, June.
    4. Mehmet Fatih Acar & Alev Özer Torgalöz & Enes Eryarsoy & Selim Zaim & Salomée Ruel, 2024. "The effect of organizational culture, supplier trust and information sharing on supply chain viability," Operations Management Research, Springer, vol. 17(3), pages 1058-1077, September.
    5. Muhammad Ikram & Qingyu Zhang & Robert Sroufe & Marcos Ferasso, 2020. "The Social Dimensions of Corporate Sustainability: An Integrative Framework Including COVID-19 Insights," Sustainability, MDPI, vol. 12(20), pages 1-29, October.

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