2026-09-18T20:42:17Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/124346 2024-09-16 col_2142_5131 col_2142_16359 com_2142_5130 com_2142_16358 com_2142_234

Disaster relief vehicle routing with volunteer coverage Hoevener, Thomas 2024-04-30 Disaster Relief Operations Vehicle Routing Problem Volunteers In disaster relief operations, modelers typically adopt a pessimistic approach, where we optimize for the worst-case scenario. In reality, there is a chance for human compassion and support which we can incorporate in the operations: specifically, we often see volunteers who are willing to offer their help and services. In this work, we present a series of vehicle routing problems exploiting this notion of volunteers who are able to optionally provide aid to surrounding areas. We incorporate human volunteers into our problems and determine the optimal routing scheme within a network to minimize time and cost while meeting the demands of the locations. We develop a novel model based on the Miller-Tucker-Zemlin constraints, which introduces the concept of optional demands for the benefit of supporting the aid effort in an area. We reintroduce fundamental problems in vehicle routing now with a more realistic (and optimistic) component. We present computational results showcasing how volunteers may dramatically reduce the response times of the affected areas. We also present a sensitivity analysis over varying levels of volunteer availability, ability to reach farther areas (volunteer radius), and robustness of transportation infrastructure. Text eng https://hdl.handle.net/2142/124346 Copyright 2024 Thomas Hoevener Vogiatzis, Chrysafis 2024-05 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms The student, Thomas Hoevener, accepted the attached license on 2024-04-19 at 12:30. The student, Thomas Hoevener, submitted this Thesis for approval on 2024-04-19 at 13:33. This Thesis was approved for publication on 2024-04-30 at 16:42. DSpace SAF Submission Ingestion Package generated from Vireo submission #20501 on 2024-09-16 at 00:35:30 M.S. Thesis Industrial Engineering University of Illinois at Urbana-Champaign Industrial&Enterprise Sys Eng