Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 42, Issue 10, Pages 970-984Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2008.02.003
Keywords
Container terminal; Unloading operation; Cyclic queue model; Markovian decision process; Fleet size optimization
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This paper presents mathematical models that optimize the size of transportation fleet (cranes and trucks) for unloading operations at container terminals. A cyclic queue model is used to study the steady-state port throughput, which then yields the optimum fleet size for long-term operations. This model allows for stochastic operations such as exponentially distributed crane service times. In order to allow for generally distributed crane service times and truck travel times, an approach based on Markovian decision process is also proposed. This model provides dynamic operational policies for fleet management. Both models are implemented and examined with empirical data from the Port of Balboa, Panama. These models are also extended to unloading operations that involve multiple berths. Published by Elsevier Ltd.
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