Abstract
A dynamic programming based heuristic is used to solve the crew balancing problem for freight rail. The model finds an optimal solution to the basic crew balancing problem, then uses heuristic adjustment for special circumstances surrounding particularities in crew management. In practice, model results are presented to the end user for approval or modification before their enactment. With accurate information, we estimate the potential for savings of 4% of total crew deadhead and heldaway costs. When subjected to inaccurate forecasts typically experienced, however, the deterministic model performs worse than current practices. We make suggestions for dealing with the uncertainties of forecasted train arrival and departure times in order to produce more implementable results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Services Technology and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
