Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1132673 | Transportation Research Part B: Methodological | 2008 | 17 Pages |
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.
Keywords
Related Topics
Social Sciences and Humanities
Decision Sciences
Management Science and Operations Research
Authors
Mark Lawley, Vijay Parmeshwaran, Jean-Philippe Richard, Ayten Turkcan, Malay Dalal, David Ramcharan,