Date of Award
2019
Degree Name
Mathematics
College
College of Science
Type of Degree
M.A.
Document Type
Thesis
First Advisor
Dr. Michael Schroeder, Committee Chairperson
Second Advisor
Dr. Raid Al-Aqtash
Third Advisor
Dr. Scott Sarra
Abstract
Strategic placement of ambulances is important to the efficient functioning of emergency services. As part of an ongoing collaboration with Wayne County 911, we developed a strategy to optimize the placement of ambulances throughout Wayne County based on de-identified call and response data from 2016 and 2017. The primary goals of the optimization were minimizing annual operating cost and mean response time, as well as providing a constructive solution that could naturally evolve from the existing plan. This thesis details the derivation and implementation of one of the optimization strategies used in this project. It is based on parametric statistical inference and the “Branch and Bound” pattern that is often used in non-linear global optimization.
Subject(s)
Ambulance service -- West Virginia -- Wayne County.
Extreme value theory -- Mathematical models.
Nonlinear theories -- Mathematical models.
Recommended Citation
McDaniel, Kevin, "An Inference-Driven Branch and Bound Optimization Strategy for Planning Ambulance Services" (2019). Theses, Dissertations and Capstones. 1258.
https://mds.marshall.edu/etd/1258
Included in
Emergency and Disaster Management Commons, Mathematics Commons, Non-linear Dynamics Commons
