Interdiction of wildlife trafficking supply chains: An analytical approach-Reference-Cited by-同舟云学术

Interdiction of wildlife trafficking supply chains: An analytical approach

Published:2023-10-13 Issue:3 Volume:56 Page:355-373
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Griffin Emily C.¹²,Ferber Aaron³,Lafferty Lucas²,Keskin Burcu B.²^ORCID,Dilkina Bistra³,Gore Meredith⁴

Affiliation:

1. Babson College, Operations and Information Management Division, Babson Park, MA, USA

2. Department of Information Systems, Statistics, and Management Science, The University of Alabama System, Tuscaloosa, AL, USA

3. Department of Computer Science, University of Southern California, Los Angeles, CA, USA

4. Department of Geographical Sciences, University of Maryland at College Park, College Park, MD, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2255643

Reference39 articles.

1. A Review of Research in Illicit Supply-Chain Networks and New Directions to Thwart them

2. Avis W. (2017) Criminal networks and illicit wildlife. Technical report K4D. https://www.ids.ac.uk/projects/k4d-research-helpdesk/

3. Awel M.A. (2019) Turkey: 21 rhino horns seized at Istanbul airport. https://www.aa.com.tr/en/life/turkey-21-rhino-horns-seized-at-istanbul-airport/1387405. Accessed: January 20 2022.

4. Finding the most vital arcs in a network

5. Baycik N.O. Sharkey T.C. and Rainwater C.E. (2020) A Markov decision process approach for balancing intelligence and interdiction operations in city-level drug trafficking enforcement. Socio-Economic Planning Sciences 69 1–16.

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