IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v99y2021ics0305048319302671.html

Towards the development of quantitative resilience indices for Multi-Echelon Assembly Supply Chains

Author

Listed:
  • Nguyen, Huy
  • Sharkey, Thomas C.
  • Wheeler, Shamus
  • Mitchell, John E.
  • Wallace, Willam A.

Abstract

This paper develops a framework to create resilience indices for multi-echelon assembly supply chain (MEASC) networks. Each supplier within this network assembles a component from a series of sub-components received from other suppliers, thus, disruptions at suppliers can cascade and significantly affect the performance of the whole network. The framework combines the decision rules developed in [32] and Monte Carlo simulation. These indices can evaluate the vulnerability of a MEASC network to different types of disruptive events and to estimate with statistical confidence the impact of such events. As an extension, this approach is applied to individual suppliers to create individual resilience indices and identify the most vulnerable suppliers within the network. The resilience indices can further be used to understand how certain mitigation efforts improve resilience and identify improvements that potentially make the network less vulnerable to a certain type of disruptive event. It can further be applied to understand how certain mitigation efforts improve resilience (e.g., safety stocks at suppliers or requiring key suppliers to have back-up capacities at their other assembly locations), which is important in determining thecorrect requirements of the MEASC network to meet certain post-disruptive event performance criteria.

Suggested Citation

  • Nguyen, Huy & Sharkey, Thomas C. & Wheeler, Shamus & Mitchell, John E. & Wallace, Willam A., 2021. "Towards the development of quantitative resilience indices for Multi-Echelon Assembly Supply Chains," Omega, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:jomega:v:99:y:2021:i:c:s0305048319302671
    DOI: 10.1016/j.omega.2020.102199
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048319302671
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.omega.2020.102199?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. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    2. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    3. Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
    4. Yasuyuki Todo & Kentaro Nakajima & Petr Matous, 2015. "How Do Supply Chain Networks Affect The Resilience Of Firms To Natural Disasters? Evidence From The Great East Japan Earthquake," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 209-229, March.
    5. Jonkman, S.N. & Bockarjova, M. & Kok, M. & Bernardini, P., 2008. "Integrated hydrodynamic and economic modelling of flood damage in the Netherlands," Ecological Economics, Elsevier, vol. 66(1), pages 77-90, May.
    6. David Simchi-Levi & William Schmidt & Yehua Wei & Peter Yun Zhang & Keith Combs & Yao Ge & Oleg Gusikhin & Michael Sanders & Don Zhang, 2015. "Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain," Interfaces, INFORMS, vol. 45(5), pages 375-390, October.
    7. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    2. Nitin Sahu & Garima Mittal, 2026. "Resilient supplier selection under operational and disruption risks: A multi-stage framework," Annals of Operations Research, Springer, vol. 359(3), pages 2617-2654, April.
    3. Hosseinifard, Zahra & Layaoen, Haerold Dean & Abareshi, Ahmad & Abbasi, Babak & Sheu, Jiuh-Biing, 2025. "A critical evaluation of non-profit organizations’ contributions to disaster management: Historical perspectives and future trends in operations management research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
    4. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    5. Huamin Wu & Guo Li & Hong Zheng, 2025. "How Does Digital Intelligence Technology Enhance Supply Chain Resilience? Sustainable Framework and Agenda," Annals of Operations Research, Springer, vol. 355(1), pages 901-923, December.
    6. Zhou, Jiamei & Lv, Wei & Wang, Jinghui & Zheng, Rui & Yang, Xiaoting, 2026. "Impact of risk and risk awareness coupling propagation on the resilience of supply chain in a dual-layer network," Reliability Engineering and System Safety, Elsevier, vol. 265(PA).
    7. Sabogal De La Pava, Martha L. & Tucker, Emily L., 2025. "Effects of geopolitical strain on global pharmaceutical supply chain design and drug shortages," European Journal of Operational Research, Elsevier, vol. 327(2), pages 641-654.

    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. Margolis, Joshua T. & Sullivan, Kelly M. & Mason, Scott J. & Magagnotti, Mariah, 2018. "A multi-objective optimization model for designing resilient supply chain networks," International Journal of Production Economics, Elsevier, vol. 204(C), pages 174-185.
    2. Müllerklein, Daniel & Fontaine, Pirmin, 2025. "Resilient transportation network design with disruption uncertainty and lead times," European Journal of Operational Research, Elsevier, vol. 322(3), pages 827-840.
    3. Snoeck, André & Udenio, Maximiliano & Fransoo, Jan C., 2019. "A stochastic program to evaluate disruption mitigation investments in the supply chain," European Journal of Operational Research, Elsevier, vol. 274(2), pages 516-530.
    4. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    5. Bodendorf, Frank & Sauter, Maximilian & Franke, Jörg, 2023. "A mixed methods approach to analyze and predict supply disruptions by combining causal inference and deep learning," International Journal of Production Economics, Elsevier, vol. 256(C).
    6. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    7. Dmitry Ivanov & Maxim Rozhkov, 2020. "Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company," Annals of Operations Research, Springer, vol. 291(1), pages 387-407, August.
    8. Ghanei, Shima & Contreras, Ivan & Cordeau, Jean-François, 2023. "A two-stage stochastic collaborative intertwined supply network design problem under multiple disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    9. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    10. Sanjoy Kumar Paul & Sobhan Asian & Mark Goh & S. Ali Torabi, 2019. "Managing sudden transportation disruptions in supply chains under delivery delay and quantity loss," Annals of Operations Research, Springer, vol. 273(1), pages 783-814, February.
    11. Nader Azad & Elkafi Hassini, 2019. "A Benders Decomposition Method for Designing Reliable Supply Chain Networks Accounting for Multimitigation Strategies and Demand Losses," Transportation Science, INFORMS, vol. 53(5), pages 1287-1312, September.
    12. Jessica Olivares-Aguila & Alejandro Vital-Soto, 2021. "Supply Chain Resilience Roadmaps for Major Disruptions," Logistics, MDPI, vol. 5(4), pages 1-18, November.
    13. Donghui Yang & Meng Tang & Yongbo Ni, 2025. "Robustness of automotive supply chain networks based on complex network analysis," Electronic Commerce Research, Springer, vol. 25(5), pages 3609-3636, October.
    14. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Manoj Dora & Balkrishna E. Narkhede, 2023. "Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains," Annals of Operations Research, Springer, vol. 327(1), pages 339-374, August.
    15. Freeman, Nickolas & Mittenthal, John & Keskin, Burcu & Melouk, Sharif, 2018. "Sourcing strategies for a capacitated firm subject to supply and demand uncertainty," Omega, Elsevier, vol. 77(C), pages 127-142.
    16. Wang, Lu & Deng, Tianhu & Li, Qiaofeng, 2025. "Can feature removal benefit the automotive manufacturers amid supply shortages? An analytical investigation," Omega, Elsevier, vol. 132(C).
    17. 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.
    18. Chowdhury, Nighat Afroz & Ali, Syed Mithun & Mahtab, Zuhayer & Rahman, Towfique & Kabir, Golam & Paul, Sanjoy Kumar, 2019. "A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 102-113.
    19. Sherwin, Michael D. & Medal, Hugh & Lapp, Steven A., 2016. "Proactive cost-effective identification and mitigation of supply delay risks in a low volume high value supply chain using fault-tree analysis," International Journal of Production Economics, Elsevier, vol. 175(C), pages 153-163.
    20. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.

    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:jomega:v:99:y:2021:i:c:s0305048319302671. 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/375/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.