A bi-objective formulation for robust defense strategies in multi-commodity networks. (August 2018)

• Record Type: Journal Article
• Authors: McCarter, Matthew; Barker, Kash; Johansson, Jonas; Ramirez-Marquez, Jose E.
• Is Part Of: Reliability engineering & system safety. Volume 176(2018)
• Page Start: 154
• Page End: 161
• Publication Date: 2018-08
• Subjects: Vulnerability -- Resilience -- Multi-commodity network flow -- Max flow -- Rail transportation; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2018.04.011
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: We develop a multi-objective defense resource allocation approach for multi-commodity networks. Multiple Pareto frontiers are aggregated using a multi-criteria decision analysis technique. We apply the formulation to a Swedish commodity rail data set. Abstract: Characterizing system performance under disruption is a growing area of research, particularly for describing a system's resilience to disruptive events. Within the framework of system resilience, this study approaches the minimization of a multiple-commodity system's vulnerability to multiple disruptions. The vulnerability of a system is defined by the degree to which commodities can no longer flow through the system to satisfy demand given a disruptive event. A multi-objective formulation is developed to find defense strategies at minimal cost that maintain a high level of demand satisfaction across all commodities. A solution method involving an estimation of the Pareto frontier via the Non-dominated Sorted Genetic Algorithm II (NSGA-II) is also proposed. A decision support environment is proposed and supported by application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The proposed formulation and solution method are illustrated with an example generated from the multi-commodity Swedish rail network.