Strategic, tactical and real-time planning of locomotives at Norfolk Southern using approximate dynamic programming

Warren Buckler Powell, Belgacem Bouzaiene-Ayari, Clark Cheng, Ricardo Fiorillo, Sourav Das, Coleman Lawrence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Locomotive planning has been a popular application of classical optimization models for decades, but with very few success stories. There are a host of complex rules governing how locomotives should be used. In addition, it is necessary to simultaneously manage locomotive inventories by balancing the need for holding power against the need for power at other yards. At the same time, we have to plan the need to return foreign power, and move power to maintenance facilities for scheduled FRA appointments. An additional complication arises as a result of the high level of uncertainty in transit times and delays due to yard processing, and as a result we may have to plan additional inventories in order to move outbound trains on time despite inbound delays. We describe a novel modeling and algorithmic strategy known as approximate dynamic programming, which can also be described as a form of "optimizing simulator" which uses feedback learning to plan locomotive movements in a way that closely mimics how humans plan real-world operations. This strategy can be used for strategic and tactical planning, and can also be adapted to real-time operations. We describe the strategy, and summarize experiences at Norfolk Southern with a strategic planning system.

Original languageEnglish (US)
Title of host publication2012 Joint Rail Conference, JRC 2012
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages491-500
Number of pages10
ISBN (Print)9780791844656
DOIs
StatePublished - Jan 1 2012
Event2012 Joint Rail Conference, JRC 2012 - Philadelphia, PA, United States
Duration: Apr 17 2012Apr 19 2012

Publication series

Name2012 Joint Rail Conference, JRC 2012

Other

Other2012 Joint Rail Conference, JRC 2012
CountryUnited States
CityPhiladelphia, PA
Period4/17/124/19/12

All Science Journal Classification (ASJC) codes

  • Transportation

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    Powell, W. B., Bouzaiene-Ayari, B., Cheng, C., Fiorillo, R., Das, S., & Lawrence, C. (2012). Strategic, tactical and real-time planning of locomotives at Norfolk Southern using approximate dynamic programming. In 2012 Joint Rail Conference, JRC 2012 (pp. 491-500). (2012 Joint Rail Conference, JRC 2012). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/JRC2012-74187