Operations research and analytics to combat human trafficking: A systematic review of academic literature

GL Dimas, RA Konrad, K Lee Maass, AC Trapp - PloS one, 2022 - journals.plos.org
Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …

Unmasking human trafficking risk in commercial sex supply chains with machine learning

P Ramchandani, H Bastani, E Wyatt - Available at SSRN 3866259, 2021 - papers.ssrn.com
The covert nature of sex trafficking provides a significant barrier to generating large-scale,
data-driven insights to inform law enforcement, policy and social work. We leverage massive …

Improving access to housing and supportive services for runaway and homeless youth: Reducing vulnerability to human trafficking in New York City

YB Kaya, KL Maass, GL Dimas, R Konrad… - IISE …, 2024 - Taylor & Francis
Recent estimates indicate that there are over a million runaway and homeless youth and
young adults (RHY) in the United States (US). Exposure to trauma, violence, and substance …

Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks

D Kosmas, TC Sharkey, JE Mitchell, KL Maass… - Annals of Operations …, 2024 - Springer
We consider a new class of multi-period network interdiction problems, where interdiction
and restructuring decisions are decided upon before the network is operated and …

[HTML][HTML] Towards spatially disaggregated cocaine supply chain modeling

NR Magliocca, R Aksu, K McSweeney… - Socio-Economic …, 2024 - Elsevier
Despite the global reach and economic scale of cocaine trafficking, our best geographic
understanding of the global trade remains coarse. A more spatially disaggregated …

A transdisciplinary approach for generating synthetic but realistic domestic sex trafficking networks

D Kosmas, C Melander, E Singerhouse… - IISE …, 2024 - Taylor & Francis
One of the major challenges associated with applying Operations Research (OR) models to
disrupting human trafficking networks is the limited amount of reliable data sources readily …

Human trafficking interdiction with decision dependent success

B Tezcan, KL Maass - Socio-Economic Planning Sciences, 2023 - Elsevier
This paper presents a bi-level network interdiction model to increase the effectiveness of
attempting to disrupt a human trafficking network under a resource constrained environment …

Perspectives on how to conduct responsible anti-human trafficking research in operations and analytics

RA Konrad, KL Maass, GL Dimas, AC Trapp - European Journal of …, 2023 - Elsevier
Human trafficking, the commercial exploitation of individuals, is a gross violation of human
rights; harming societies, economies, health and development. The related disciplines of …

Warehouse Network Design with Fortification Considerations: A Mixed-Integer Nonlinear Modeling Approach

T Oshan - IEEE Access, 2024 - ieeexplore.ieee.org
This study presents a mathematical model for optimizing warehouse-location decisions in
supply-chain network design. Previous studies have focused on the facility-location problem …

Ensuring sustainable strategies for achieving multi-commodity maximum flow on a fuzzy network under interdictions

G Ozcelik, A Sahin - Scientia Iranica, 2024 - scientiairanica.sharif.edu
This paper addresses the multi-commodity maximum flow network interdiction problem (MC-
MFNIP) which involves two opposite sides with conflicting objectives in the presence of …