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Designing Resilient Humanitarian Logistics Networks for Remote Communities in Western Australia: A Coopetitive Multi-Objective Optimisation Approach

Supervisor:

Dr Reza Kiani Mavi

Abstract

This research develops a multi-objective optimisation framework to enhance resilience and efficiency in humanitarian logistics networks serving remote communities in Western Australia. Integrating evolutionary algorithms, deep learning-based disruption forecasting, and coopetitive resilience strategies, this research develops frameworks to optimise facility location, emergency stockpile allocation, and multi-modal routing under uncertainty. By embedding predictive intelligence and cooperative mechanisms into logistics planning, this study equips decision-makers with robust, adaptive tools to maintain critical supply flows during climate-induced disruptions.

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