Dynamic fleet management as a logistics queueing network

Warren Buckler Powell, Tassio A. Carvalho, Gregory A. Godfrey, Hugo P. Simão

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

This paper introduces a new framework for modeling and solving dynamic fleet management problems, which we call the Logistics Queueing Network (LQN). A variety of problems in logistics involve the combined problem of moving freight from origin to destination while simultaneously managing the capacity required to move this freight. Standard formulations for real-world problems usually lead to intractably large linear programs. The LQN approach can take into account more real-world detail and is considerably faster than classical LP formulations. The solutions generated using the LQN approach are shown to be within a few percentage points of the LP optimal solutions depending on the size of the capacity fleets.

Original languageEnglish (US)
Pages (from-to)165-188
Number of pages24
JournalAnnals of Operations Research
Volume61
Issue number1
DOIs
StatePublished - Dec 1 1995

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Management Science and Operations Research

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