A time-space scheduling model for optimizing recurring bulk railcar deliveries

Mark Lawley, Vijay Parmeshwaran, Jean Philippe Richard, Ayten Turkcan, Malay Dalal, David Ramcharan

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

This work presents a time-space network flow model for scheduling recurring bulk rail deliveries from suppliers to customers. The objective is to maximize demand satisfied while minimizing waiting times for loading and unloading the bulk commodity. The model uses a variety of information including customer demand, rail network characteristics, loading and unloading hours, and track and station capacities. The planning horizon length and planning period can be varied to provide solutions for both long term planning and short term daily operations. The paper includes computational studies that examine the tradeoff between planning period length and schedule quality.

Original languageEnglish (US)
Pages (from-to)438-454
Number of pages17
JournalTransportation Research Part B: Methodological
Volume42
Issue number5
DOIs
StatePublished - Jun 2008
Externally publishedYes

Keywords

  • Freight cars
  • Rail optimization
  • Railcar
  • Scheduling
  • Time-space model
  • Train scheduling

Fingerprint Dive into the research topics of 'A time-space scheduling model for optimizing recurring bulk railcar deliveries'. Together they form a unique fingerprint.

Cite this