Container Terminal Berth-Quay Crane Capacity Planning Based on Markov Chain

This paper constructs a berth-quay crane capacity planning model with the lowest average daily cost in container terminal, and analyzes influence of number berths quay cranes on terminal operation. The object is to optimize maximize benefits terminal. A steady state probability transfer based Markov chain for constructed by historical time series queuing process. current minimum operation principle (MTOP) strategy proposed correct transition due characteristics movement change service single berth. solution error reduced from 7.03% 0.65% compared theory without considering movement, which provides basis accurate model. validated two examples, results show that can greatly guide planning.