Application of a Blockchain Enabled Model in Disaster Aids Supply Network Resilience

<p>The disaster area is a dynamic environment. The bottleneck in distributing the supplies may be from the damaged infrastructure or the unavailability of accurate information about the required amounts. The success of the disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a reliable dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts. This study analyzes the application of blockchain technology on disaster management resilience. The influences of this most promising application on the disaster aid supply network resilience combined with the Internet of Things (IoT) and Dynamic Voltage Frequency Scaling (DVFS) algorithm are explored employing a network-based simulation. The theoretical analysis reveals an advancement in disaster-aids supply network strategies using smart contracts for collaborations. The simulation study indicates an enhance in resilience by improvement in collaboration and communication due to more time-efficient processing for disaster supply management. From the investigations, insights have been derived for researchers in the field and the managers interested in practical implementation.</p>

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Engineering Management & Systems Engineering

Year dc:date.available

2021

Author dc:creator

• Sabz Ali Pour, Farinaz

Contributors dc:contributor

• Adrian Gheorghe
• Unal Tatar
• Arial Pinto
• Samuel Kovacic

• Blockchain technology
• Disaster management
• Internet of Things
• Modeling & simulation resilience
• Supply network
• Systems Engineering
• Systems Science

Identifier

9798460433858

OAI identifier oai:identifier

oai:digitalcommons.odu.edu:emse_etds-1184