IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v50y2018i4p316-331.html
   My bibliography  Save this article

Interdicting layered physical and information flow networks

Author

Listed:
  • Nail Orkun Baycik
  • Thomas C. Sharkey
  • Chase E. Rainwater

Abstract

This article focuses on the problem of interdicting layered networks that involve a physical flow network and an information flow network. There exist dependencies between these networks since components of the physical flow network are only operational should their counterparts in the information flow network receive enough demand. This leads to a network interdiction problem over these layered networks. The objective of the defender is to send the maximum amount of flow through its physical flow network. The objective of the attacker is to interdict components within the layered networks to minimize this maximum flow. For the case where the information supply arcs are uncapacitated, we apply a novel multi-step, dual-based reformulation technique. We apply this reformulation technique to two applications in order to provide policy-driven analysis: law enforcement efforts against illegal drug trafficking networks and cyber vulnerability analysis of infrastructure and supply chain networks. The computational results prove that our reformulation technique outperforms the traditional duality-based reformulation technique by orders of magnitude. This allows us to analyze instances of realistic size.

Suggested Citation

  • Nail Orkun Baycik & Thomas C. Sharkey & Chase E. Rainwater, 2018. "Interdicting layered physical and information flow networks," IISE Transactions, Taylor & Francis Journals, vol. 50(4), pages 316-331, April.
  • Handle: RePEc:taf:uiiexx:v:50:y:2018:i:4:p:316-331
    DOI: 10.1080/24725854.2017.1401754
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24725854.2017.1401754
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24725854.2017.1401754?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 search for a different version of it.

    Citations

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


    Cited by:

    1. Kosmas, Daniel & Sharkey, Thomas C. & Mitchell, John E. & Maass, Kayse Lee & Martin, Lauren, 2023. "Interdicting restructuring networks with applications in illicit trafficking," European Journal of Operational Research, Elsevier, vol. 308(2), pages 832-851.
    2. Enayaty-Ahangar, Forough & Rainwater, Chase E. & Sharkey, Thomas C., 2019. "A Logic-based Decomposition Approach for Multi-Period Network Interdiction Models," Omega, Elsevier, vol. 87(C), pages 71-85.
    3. Baycik, N. Orkun & Sharkey, Thomas C. & Rainwater, Chase E., 2020. "A Markov Decision Process approach for balancing intelligence and interdiction operations in city-level drug trafficking enforcement," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Jabarzare, Ziba & Zolfagharinia, Hossein & Najafi, Mehdi, 2020. "Dynamic interdiction networks with applications in illicit supply chains," Omega, Elsevier, vol. 96(C).
    5. Tezcan, Barış & Maass, Kayse Lee, 2023. "Human trafficking interdiction with decision dependent success," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    6. Shen, Yeming & Sharkey, Thomas C. & Szymanski, Boleslaw K. & Wallace, William (Al), 2021. "Interdicting interdependent contraband smuggling, money and money laundering networks," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    7. Smith, J. Cole & Song, Yongjia, 2020. "A survey of network interdiction models and algorithms," European Journal of Operational Research, Elsevier, vol. 283(3), pages 797-811.
    8. Keskin, Burcu B. & Griffin, Emily C. & Prell, Jonathan O. & Dilkina, Bistra & Ferber, Aaron & MacDonald, John & Hilend, Rowan & Griffis, Stanley & Gore, Meredith L., 2023. "Quantitative Investigation of Wildlife Trafficking Supply Chains: A Review," Omega, Elsevier, vol. 115(C).
    9. Xiaodan Xie & Felipe Aros‐Vera, 2022. "An interdependent network interdiction model for disrupting sex trafficking networks," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2695-2713, June.

    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:taf:uiiexx:v:50:y:2018:i:4:p:316-331. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.