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 language||English (US)|
|Number of pages||24|
|Journal||Annals of Operations Research|
|State||Published - Dec 1 1995|
All Science Journal Classification (ASJC) codes
- Decision Sciences(all)
- Management Science and Operations Research