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Evaluation of adaptation strategies for sustainable supply chains: application in medical waste reverse supply chains

Author

Listed:
  • Ming Liu

    (Tongji University
    Tongji University)

  • Yueyu Ding

    (Tongji University)

  • Maoran Zhu

    (Tongji University)

Abstract

Integrating sustainability and resilience, supply chain (SC) viability exhibits excellent capabilities to withstand unforeseen and uncontrollable disruption events and aid SCs in recovering from the long-term impacts of disruptions. To enhance the SC viability, decision-makers need to carefully assess the performance of adaptation strategies (e.g., intertwining, scalability, substitution, and repurposing). SC sustainability, a critical facet of viability, encompasses the interconnected domains of the environment, society, and economy. Thus, evaluating adaptation strategies, particularly for sustainable SCs, is of utmost importance. Recently, Ivanov (Int J Prod Res 59(12)3535–3552, 2021) assesses the performance (i.e., recovery time) for adaptation strategies, assuming that the recovery rate is a constant. In practice, however, the recovery rate is usually uncertain and may change over time. Besides, the SC decision-makers possess different risk attitudes. Therefore, this study generalizes Ivanov (Int J Prod Res 59(12)3535–3552, 2021)’s method by integrating the uncertain recovery rate and risk attitudes of SC managers. This research aims to assist decision-makers for evaluating adaptation strategies for sustainable SCs. To this end, this paper establishes a risk-averse and a robust evaluation methods, where the risk-averse method covers different risk tolerances and the robust method considers the worst-case scenario. By applying the methods to the medical waste reverse SC in China, we find that the assessed recovery time depends significantly on the mean value of the uncertain recovery rate for SC managers with various risk attitudes. Besides, for the manager who values the worst case, this study suggests that the larger the standard deviation of uncertain recovery rate is, the larger recovery time is estimated. The findings may help decision-makers adjust adaptation strategies based on the evaluated recovery time.

Suggested Citation

  • Ming Liu & Yueyu Ding & Maoran Zhu, 2024. "Evaluation of adaptation strategies for sustainable supply chains: application in medical waste reverse supply chains," Operations Management Research, Springer, vol. 17(3), pages 1126-1139, September.
    • Handle: RePEc:spr:opmare:v:17:y:2024:i:3:d:10.1007_s12063-024-00476-2
    DOI: 10.1007/s12063-024-00476-2
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    References listed on IDEAS

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    1. Ivanov, Dmitry & Keskin, Burcu B., 2023. "Post-pandemic adaptation and development of supply chain viability theory," Omega, Elsevier, vol. 116(C).
    2. Dmitry Ivanov, 2021. "Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3535-3552, June.
    3. Gökhan Özçelik & Ömer Faruk Yılmaz & Fatma Betül Yeni, 2021. "Robust optimisation for ripple effect on reverse supply chain: an industrial case study," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 245-264, January.
    4. Shraddha Mishra & Surya Prakash Singh, 2022. "A stochastic disaster-resilient and sustainable reverse logistics model in big data environment," Annals of Operations Research, Springer, vol. 319(1), pages 853-884, December.
    5. Devesh Kumar & Gunjan Soni & Rohit Joshi & Vipul Jain & Amrik Sohal, 2022. "Modelling supply chain viability during COVID-19 disruption: A case of an Indian automobile manufacturing supply chain," Operations Management Research, Springer, vol. 15(3), pages 1224-1240, December.
    6. E. Zhang & Feng Chu & Shijin Wang & Ming Liu & Yang Sui, 2022. "Approximation approach for robust vessel fleet deployment problem with ambiguous demands," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2180-2194, November.
    7. Dmitry Ivanov & Alexandre Dolgui & Jennifer V. Blackhurst & Tsan-Ming Choi, 2023. "Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2402-2415, April.
    8. Bei, Xiaoqiang & Zhu, Xiaoyan & Coit, David W., 2019. "A risk-averse stochastic program for integrated system design and preventive maintenance planning," European Journal of Operational Research, Elsevier, vol. 276(2), pages 536-548.
    9. 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.
    10. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
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