Using sensors to interdict nuclear material smuggling

David P. Morton*, Feng Pan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


We describe a stochastic network interdiction model for locating sensors that detect nuclear material. A nuclear material smuggler selects a path through a transportation network that maximizes the probability of avoiding detection. An interdictor installs sensors to minimize that maximum probability. We formulate this problem as a bi-level stochastic mixed-integer program, and then focus on a special case in which the underlying network is bipartite. We show that a class of valid inequalities, called step inequalities, can significantly reduce computational effort.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Exposition 2005
StatePublished - Dec 1 2005
EventIIE Annual Conference and Exposition 2005 - Atlanta, GA, United States
Duration: May 14 2005May 18 2005


OtherIIE Annual Conference and Exposition 2005
Country/TerritoryUnited States
CityAtlanta, GA


  • Mixed-integer programming
  • Network interdiction
  • Nonproliferation
  • Stochastic programming

ASJC Scopus subject areas

  • Engineering(all)


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