The goal of this MQP is to improve the allocation of services for the United States foster care system. The current foster care system is strained, which is in part due to the opioid epidemic that has impacted the nation as a whole. Our team has investigated the use of predictive and prescriptive analytics to improve the service allocation of the foster care system. Through careful estimation of the effects of various factors (including allocated services) on time in the system for each foster child, along with our proposed mechanism to reallocate such services, our results demonstrate that there is significant potential to improve the foster care system as a whole, and should be carefully considered for future implementation.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Doherty, Riley Joseph
• Diefendorf, Benjamin Campbell
• Yagoobi, Kameron
• Tropeano, Ryan

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032019-225634

Advisor

• Trapp, Andrew C
• Douglas, Emily M.

Year

• 2019

Date created

• 2019-03-20

Resource type

• Major Qualifying Project

Major

• Industrial Engineering
• Management Engineering

Rights statement

• In Copyright

Dernière modification

• 2020-11-23