Resilience Analysis of Flow Networks

Louwaars, J.C.R. (2017) Resilience Analysis of Flow Networks. Master's Thesis / Essay, Industrial Engineering and Management.

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Abstract

In the world as we know it today, the role of networks have become increasingly important in our society. Across the globe, people rely on large networks, such as transportation networks, logistics networks, and communication networks. As a consequence, unexpected disruptions may lead to severe failures, which cannot always be solved straight away. Therefore, it is recommended that a network should contain an inherent ability to cope with possible future disruptions. This restoring ability can be described as network resilience. One interesting finding regarding this topic that was recently published, states that a network does not always become more resilient when capacity is added. In fact, it may even lead to systemic failures in locally routed networks. Moreover, smartly reducing the capacity is said to help averting the failures. In this research the aim is to learn more about network resilience using flow networks as a graph theoretical framework. A normalized measure for network resilience is defined and utilized to analyze the resilience performance of three different network configurations under proportional routing and shortest path routing. Results confirm the earlier published research findings that under proportional routing, certain link capacity additions can make a network non-resilient. However, the shortest path policy also shows potential in delivering good results for network resilience in a flow network since it incorporates global network information in the routing decisions. Future research and practical application of the model is recommended.

Item Type:	Thesis (Master's Thesis / Essay)
Degree programme:	Industrial Engineering and Management
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	15 Feb 2018 08:27
Last Modified:	15 Feb 2018 08:27
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/15055

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