Strategic multi-objective routing in a high threat environment

Jihyun Jo, Mustafa Y. Sir, Esra Sisikoglu

Research output: Contribution to conferencePaperpeer-review

Abstract

We develop multi-objective routing models to find best routes for supplying resources from multiple sources to targets on a transportation network in a high threat environment such as environments prone to natural disasters or hostile activity. Objective functions we consider include minimizing total travel distance, minimizing overall risk, and minimizing the maximum total flow across all transportation arcs. We introduce a risk measure to account for the extent of potential damage that may be received from several threat centers. We use several multi-objective optimization methods to solve the strategic routing problem. These methods include weighted sum approach, goal programming, and lexicographic goal programming. Model and solution methods are illustrated via numerical examples.

Original languageEnglish (US)
StatePublished - Jan 1 2011
Event61st Annual Conference and Expo of the Institute of Industrial Engineers - Reno, NV, United States
Duration: May 21 2011May 25 2011

Other

Other61st Annual Conference and Expo of the Institute of Industrial Engineers
CountryUnited States
CityReno, NV
Period5/21/115/25/11

Keywords

  • Goal programming
  • Multi-objective integer programming
  • Risk measures on networks
  • Transportation routing

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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