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Strategic Optimization of Placing Rehabilitation and Reintegration Services for Effective Support of Affected Individuals in Human Trafficking

Abir, Riad Al Hasan
http://orcid.org/0009-0006-1816-2747
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1692820763996557

Abstract Details

2023, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
Human trafficking (HT) is a form of contemporary slavery that affects individuals in every state of the United States. Despite the existence of government and non-profit rehabilitation services, HT-affected individuals often miss out due to improper resource allocation. To address this issue, we propose an optimization model that efficiently allocates resources to rehabilitate and reintegrate HT-affected individuals where they are most needed. Our strategy uses a Mixed Integer Linear Programming model to optimize the net societal value (NSV) gained from offering support services while considering the three stages of HT-affected people's healing path, including victim, survivor, and thriver. This model determines the optimal type, quantity, and location of services while also integrating HT risk scores that account for the risk of HT in those areas. Our model's efficacy is demonstrated in an Ohio case study, allocating housing, detoxification, and food services across the state's eighty-eight counties and three stages of the healing path of HT-affected individuals. Through Monte Carlo Simulation in the solution approach, uncertain demand is accounted for, leading to improved NSV under such conditions. Moreover, we illustrate the impact of an increased budget, showcasing extended service reach and allocation possibilities. Our work aims to support decision-makers in efficiently allocating resources to rehabilitate and reintegrate HT-affected individuals effectively.
Felipe Aros-Vera, Dr. (Advisor)
Vardges Melkonian, Dr. (Committee Member)
Omar Ibrahim Alhawari, Dr. (Committee Member)
Tao Yuan, Dr. (Committee Member)
76 p.
Industrial Engineering; Operations Research; Rehabilitation
Human Trafficking; Operations Research; Optimization; Monte Carlo Simulation; Resource Allocation; Mixed Integer Linear Programming; Rehabilitation; Reintegration; Capacity Expantion; Budget Allocation; Societal Impact; Integer Optimization; Facility Location; Human Trafficking Risk Score; Policy Making; Stochasticity; Service Allocation

Recommended Citations

Citations

  • Abir, R. A. H. (2023). Strategic Optimization of Placing Rehabilitation and Reintegration Services for Effective Support of Affected Individuals in Human Trafficking [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1692820763996557

    APA Style (7th edition)

  • Abir, Riad Al Hasan. Strategic Optimization of Placing Rehabilitation and Reintegration Services for Effective Support of Affected Individuals in Human Trafficking . 2023. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1692820763996557.

    MLA Style (8th edition)

  • Abir, Riad Al Hasan. "Strategic Optimization of Placing Rehabilitation and Reintegration Services for Effective Support of Affected Individuals in Human Trafficking ." Master's thesis, Ohio University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1692820763996557

    Chicago Manual of Style (17th edition)

ohiou1692820763996557
126
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This open access ETD is published by Ohio University and OhioLINK.