IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-031-09183-4_10.html
   My bibliography  Save this book chapter

Integrated Optimization of Resilient Supply Chain Network Design and Operations Under Disruption Risks

In: Supply Chain Risk Mitigation

Author

Listed:
  • Zhimin Guan

    (Northeastern University)

  • Jin Tao

    (Henan University of Economics and Law)

  • Minghe Sun

    (The University of Texas at San Antonio)

Abstract

In recent years, supply chain disruptions caused by unexpected events have occurred more and more frequently, and these disruptions have been proven to have both short- and long-term negative impacts on supply chain operations and on corporate profitability. Thus, it is imperative to first analyze and understand the effects of these risks and then develop solutions to mitigate their impacts. In this study, an optimization approach is developed for integrated design and operations for resilient supply chain networks with disruption risk considerations. A mixed binary integer programming model is formulated for this purpose. Scenarios are used to describe disruption events of the facilities, and disruption events may take place at multiple facilities at the same time in a scenario. Uncertainties in supplies, demands, and prices are also considered. A region-wide dual-sourcing strategy, strategic emergency inventories, and alternative sourcing facilities are used in the supply chain network design stage to increase network resilience. The Sample Average Approximation method is used to solve the proposed model with disruption risk considerations. An illustrative example is used to demonstrate the validity of the model and sensitivity analysis results are reported to examine the effects of important parameters on the performance of the resulting resilient supply chain networks.

Suggested Citation

  • Zhimin Guan & Jin Tao & Minghe Sun, 2022. "Integrated Optimization of Resilient Supply Chain Network Design and Operations Under Disruption Risks," International Series in Operations Research & Management Science, in: Yacob Khojasteh & Henry Xu & Saeed Zolfaghari (ed.), Supply Chain Risk Mitigation, pages 205-238, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-09183-4_10
    DOI: 10.1007/978-3-031-09183-4_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Mojtaba Farrokh & Ehsan Ahmadi & Minghe Sun, 2023. "A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1082-1120, September.

    More about this item

    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:spr:isochp:978-3-031-09183-4_10. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.