IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v204y2025ics1366554525004570.html

Resilience of global supply chains with logistics service uncertainty: Onshoring versus offshoring strategy

Author

Listed:
  • Pang, Yaxin
  • Pan, Shenle
  • Zhou, Wei
  • Ballot, Eric

Abstract

Supply chain resilience aims to enhance supply chain’s capacity to resist, respond, and recover from the disruptions. In different industries, products exhibit distinct attributes, such as, product value, deterioration rate, and criticality, resulting in varied resilience performance under logistic disruptions. The goal of this study is to investigate the significance of logistics service network in enhancing resilience within different supply chain typologies (onshoring and offshoring) across diverse industries, in face to transit time uncertainty induced by disruptions. We develop a robust optimization model with budgeted uncertainty to address the involved single-commodity multi-modal freight routing problem under transit time uncertainty. To manage real-world large-scale instances, we devised a tailored adaptive large neighborhood search algorithm and validated its performance by computational experiments. Furthermore, we conducted realistic numerical experiments to validate the proposed approach, and sensitivity analyses to assess supply chain resilience from two perspectives: supply chain typologies and industry-specific attributes including product value, deterioration, and criticality. Moreover, the dynamics of modal shift under various disruptions were also analyzed. The study aims to provide practical tools and managerial insights to help industrial practitioners improve the resilience of their logistics service networks and emphasizes the importance of industry-specific considerations of supply chain typology in enhancing resilience.

Suggested Citation

  • Pang, Yaxin & Pan, Shenle & Zhou, Wei & Ballot, Eric, 2025. "Resilience of global supply chains with logistics service uncertainty: Onshoring versus offshoring strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:transe:v:204:y:2025:i:c:s1366554525004570
    DOI: 10.1016/j.tre.2025.104416
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554525004570
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2025.104416?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Rajali Maharjan & Hironori Kato, 2022. "Resilient supply chain network design: a systematic literature review," Transport Reviews, Taylor & Francis Journals, vol. 42(6), pages 739-761, November.
    2. Zhang, Yimeng & Li, Xinlei & van Hassel, Edwin & Negenborn, Rudy R. & Atasoy, Bilge, 2022. "Synchromodal transport planning considering heterogeneous and vague preferences of shippers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Wang, Tingsong & Li, Shihao & Zhen, Lu & Zhao, Tiancheng, 2025. "The reliable ship fleet planning problem for liner shipping services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    4. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    5. Subodha Kumar & Christopher S. Tang, 2022. "Expanding the boundaries of the discipline: The 30th‐anniversary issue of Production and Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4257-4261, December.
    6. Liu, Zhongshan & Yu, Bin & Zhang, Li & Sun, Yuxuan, 2025. "Resilience enhancement of multi-modal public transportation system via electric bus network redesign," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    7. Yu, Vincent F. & Anh, Pham Tuan & Baldacci, Roberto, 2023. "A robust optimization approach for the vehicle routing problem with cross-docking under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    8. Yaxin Pang & Shenle Pan & Eric Ballot, 2024. "Resilience Analysis of Multi-modal Logistics Service Network Through Robust Optimization with Budget-of-Uncertainty," Papers 2405.12565, arXiv.org.
    9. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.
    10. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    11. Kuhn, Heinrich & Schubert, Daniel & Holzapfel, Andreas, 2021. "Integrated order batching and vehicle routing operations in grocery retail – A General Adaptive Large Neighborhood Search algorithm," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1003-1021.
    12. Chen, Xinghui & Hu, Xinghua & Liu, Haobing, 2024. "Low-carbon route optimization model for multimodal freight transport considering value and time attributes," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    13. Ke, Jian-yu & Cho, Woohyun & Su, Hao, 2025. "Flying through uncertainty: Air transportation’s impact on supply chain resilience and inventory efficiency," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    14. Anirudh Subramanyam & Panagiotis P. Repoussis & Chrysanthos E. Gounaris, 2020. "Robust Optimization of a Broad Class of Heterogeneous Vehicle Routing Problems Under Demand Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 32(3), pages 661-681, July.
    15. Hasani Goodarzi, Asefeh & Jabbarzadeh, Armin & Fahimnia, Behnam & Paquet, Marc, 2024. "Evaluating the sustainability and resilience of an intermodal transport network leveraging consolidation strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    16. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).
    17. Sawik, Tadeusz, 2023. "Reshore or not Reshore: A Stochastic Programming Approach to Supply Chain Optimization," Omega, Elsevier, vol. 118(C).
    18. Hu, Yucong & Liu, Qingyang & Li, Sitong & Wu, Weitiao, 2025. "Robust emergency logistics network design for pandemic emergencies under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
    19. Bart P. G. Van Parys & Peyman Mohajerin Esfahani & Daniel Kuhn, 2021. "From Data to Decisions: Distributionally Robust Optimization Is Optimal," Management Science, INFORMS, vol. 67(6), pages 3387-3402, June.
    20. Bai, Xiwen & Ma, Zhongjun & Zhou, Yaoming, 2023. "Data-driven static and dynamic resilience assessment of the global liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    21. van Hassel, Edwin & Vanelslander, Thierry & Neyens, Kris & Vandeborre, Hans & Kindt, Dominique & Kellens, Stefan, 2022. "Reconsidering nearshoring to avoid global crisis impacts: Application and calculation of the total cost of ownership for specific scenarios," Research in Transportation Economics, Elsevier, vol. 93(C).
    22. Tadeusz Sawik & Bartosz Sawik, 2024. "Risk-averse decision-making to maintain supply chain viability under propagated disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 62(8), pages 2853-2867, April.
    23. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
    24. Ching-Pong Poo, Mark & Wang, Tianni & Yang, Zaili, 2024. "Global food supply chain resilience assessment: A case in the United Kingdom," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    25. Qi, Yingxiu & Harrod, Steven & Psaraftis, Harilaos N. & Lang, Maoxiang, 2022. "Transport service selection and routing with carbon emissions and inventory costs consideration in the context of the Belt and Road Initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    26. Hokey Min & Young‐Hyo Ahn & Jin‐Hee Ma, 2024. "Measuring dynamic supply chain risks for the offshoring decision in the post‐COVID‐19 era: A longitudinal study," Transportation Journal, John Wiley & Sons, vol. 63(3), pages 188-206, July.
    27. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    28. Pedroletti, Daniel & Ciabuschi, Francesco, 2023. "Reshoring: A review and research agenda," Journal of Business Research, Elsevier, vol. 164(C).
    29. Yin, Kai & Wu, Jianjun & Wang, Weiping & Lee, Der-Horng & Wei, Yun, 2023. "An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    30. Paolo Barbieri & Albachiara Boffelli & Stefano Elia & Luciano Fratocchi & Matteo Kalchschmidt & Danny Samson, 2020. "What can we learn about reshoring after Covid-19?," Operations Management Research, Springer, vol. 13(3), pages 131-136, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Fang & Liang, Jingfu & Niu, Runliu & Huang, Zhihong & Liu, Qixuan, 2025. "Robust optimization of a procurement and routing strategy for multiperiod multimodal transport in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 327(1), pages 115-135.
    2. da Rocha, Angela & da Fonseca, Luíza Neves Marques & Kogut, Clarice Secches, 2025. "Deciphering relocation paths: A systematic literature review of near-shoring and friend-shoring," Journal of International Management, Elsevier, vol. 31(5).
    3. Guo, Quanlin & Yin, Chuanzhong & Zheng, Shiyuan, 2025. "An intermodal transport network planning scheme considering carbon emissions," Energy, Elsevier, vol. 322(C).
    4. Filom, Siyavash & Razavi, Saiedeh, 2025. "A learning-based robust optimization framework for synchromodal freight transportation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    5. Yılmaz, Ömer Faruk & Guan, Yongpei & Yılmaz, Beren Gürsoy & Yeni, Fatma Betül & Özçelik, Gökhan, 2025. "A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability," Omega, Elsevier, vol. 133(C).
    6. Liu, Chuanju & Zhang, Junlong & Lin, Shaochong & Shen, Zuo-Jun Max, 2023. "Service network design with consistent multiple trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    7. Sawik, Tadeusz, 2025. "Economically viable reshoring of supply chains under ripple effect," Omega, Elsevier, vol. 131(C).
    8. Zhang, Yimeng & Tan, Xiangrong & Gan, Mi & Liu, Xiaobo & Atasoy, Bilge, 2025. "Operational synchromodal transport planning methodologies: Review and roadmap," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    9. Heyhat, Shaghayegh & Rahmani, Donya & Shahparvari, Shahrooz, 2026. "Data-driven distributionally robust optimization for resilient healthcare resource planning and crisis mitigation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
    10. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    11. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T., 2017. "A metaheuristic for the multimodal network flow problem with product quality preservation and empty repositioning," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 321-344.
    12. Zhen, Lu & Wu, Jingwen & Wang, Shuaian & Li, Siyu & Wang, Miaomiao, 2025. "Optimizing automotive maritime transportation in Ro-Ro and container shipping," Transportation Research Part B: Methodological, Elsevier, vol. 194(C).
    13. Khalilpoor, Saeedeh & Kamran, Mehdi A. & Solimanpur, Maghsud, 2025. "Resilient COVID-19 vaccine supply chain: An optimization and simulation approach for multi-objective management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
    14. Hatzenbühler, Jonas & Jenelius, Erik & Gidófalvi, Gyözö & Cats, Oded, 2023. "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    15. Hilde Heggen & Yves Molenbruch & An Caris & Kris Braekers, 2019. "Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions," Sustainability, MDPI, vol. 11(6), pages 1-36, March.
    16. Bruglieri, M. & Çatay, B. & Keskin, M. & Mancini, S. & Pisacane, O., 2025. "The Mixed-Fleet Vehicle Routing Problem with Low Emission Zones," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
    17. Sidney Michael Pillich, 2025. "De-internationalization of cross-border investments from a de-globalization perspective: a systematic literature review and structuring of the field," Management Review Quarterly, Springer, vol. 75(2), pages 1419-1494, June.
    18. Guo, Wenjing & Zhang, Yimeng & Li, Wenfeng & Negenborn, Rudy R. & Atasoy, Bilge, 2024. "Augmented Lagrangian relaxation-based coordinated approach for global synchromodal transport planning with multiple operators," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    19. Zhao, Jing & Tang, Ou & Zhang, Qin & Zhou, Dequn, 2025. "Can reshoring policies hinder China's photovoltaic module exports? A dynamic perspective," Energy, Elsevier, vol. 327(C).
    20. Pedroletti, Daniel, 2025. "Network effects of partial reshoring in the internationalization process," International Business Review, Elsevier, vol. 34(3).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:204:y:2025:i:c:s1366554525004570. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.