Maintenance optimization for transportation systems with demand responsiveness

Pablo L. Durango-Cohen*, Pattharin Sarutipand

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

We present a quadratic programming framework to address the problem of finding optimal maintenance policies for multifacility transportation systems. The proposed model provides a computationally-appealing framework to support decision making, while accounting for functional interdependencies that link the facilities that comprise these systems. In particular, the formulation explicitly captures the bidirectional relationship between demand and deterioration. That is, the state of a facility, i.e., its condition or capacity, impacts the demand/traffic; while simultaneously, demand determines a facility's deterioration rate. The elements that comprise transportation systems are linked because the state of a facility can impact demand at other facilities. We provide a series of numerical examples to illustrate the advantages of the proposed framework. Specifically, we analyze simple network topologies and traffic patterns where it is optimal to coordinate (synchronize or alternate) interventions for clusters of facilities in transportation systems.

Original languageEnglish (US)
Pages (from-to)337-348
Number of pages12
JournalTransportation Research Part C: Emerging Technologies
Volume17
Issue number4
DOIs
StatePublished - Aug 2009

Keywords

  • ARMAX models
  • Demand responsiveness
  • Infrastructure management
  • Maintenance optimization
  • Quadratic programming
  • Transportation systems

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

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