Discrete Applied Mathematics
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A Survey of Optimization Models for Train Routing and Scheduling
Transportation Science
Shunting of Passenger Train Units in a Railway Station
Transportation Science
A stochastic beam search for the berth allocation problem
Decision Support Systems
Computers and Operations Research
A tabu search heuristic for the quay crane scheduling problem
Journal of Scheduling
New bounds and algorithms for the transshipment yard scheduling problem
Journal of Scheduling
MLP accompanied beam search for the resonance assignment problem
Journal of Heuristics
A Survey on Container Processing in Railway Yards
Transportation Science
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Transshipment yards, where gantry cranes enable the efficient transfer of containers between freight trains, are important entities in modern railway systems. They facilitate a general shift from point-to-point transport to hub-and-spoke railway systems, a shift being driven by concerted efforts within the European Union (EU) to transfer goods traffic from road to rail. Modern rail-rail transshipment yards accelerate container handling so that multiple smaller trains, with identical destinations, can be consolidated onto a reduced number of trains. An important problem attendant upon the daily operations of a transshipment yard is the train-scheduling problem, which involves determining the processing order of trains at parallel railway tracks. The present paper investigates this problem, with a special focus on resolving deadlocks and avoiding multiple crane picks per container move. A mathematical program along with a complexity proof is provided, and two different procedures are described: exact (dynamic programming) and heuristic (beam search).