Study On The Optimal Resource Allocation Of Anchorage-Berth-Quay Crane In The Inland Container Port

With the expansion of port container supply to the hinterland,especially the central and western regions,container throughput has increased rapidly,and the inland river shipping market has shown great potential.As the hub of multimodal transportation,the container port of inland river plays an increasingly important role,and faces the thorny problem.There is a shortage of resources such as the shorelines and anchorage of inland ports,and the great cost of building such facilities as berth and quay crane.The inland river transportation is increasingly busy,and the port competition is increasingly intensified.However,the configuration of anchorage,berth and quay crane greatly affects the port operation efficiency and the satisfaction of port service.Excessive construction of anchorage,berth and quay crane costs hugely,which will results in waste of resources and idle resources.Too little construction can lead to congestion in the port,increase the safety hazard of ship docking and waiting time in the port,and reduce the satisfaction port service.Through the research of configuration optimization of anchorage,berth and quay crane in inland river container port,determine the optimal number of anchorage and berths and the working rate of quay crane,which make the port achieve the best operating condition,and realize the comprehensive benefit maximization of port and ship.This paper analyzes the characteristics of the queuing process of the ship when it arrivals in the port,and builds the queuing model with limited space capacity according to the queuing theory.With the aid of system parameters,the nonlinear multi-objective integer programming model is built to research optimal configuration of anchorage and berth on inland container port.The goals of the model are the minimized cost in port and the shortest average time of ship staying in port.The constraints of the model are the length of coastline,the ship tolerance of waiting and the security of anchorage.Through analysis,found that compared with the single objective programming,the result of multi-objective programming for the optimal configuration is better.Also,found that through the model obtained by the optimal configuration,which will cause some question such as high idle berth rate.Analyze the water level characteristics of inland river in our country and introduce the characteristics into the new model.The nonlinear multi-objective integer programming model is constructed to research anchorage and berth allocation of inland container port of great water level.Considering the influence of river water level to the efficiency of quay crane,the working rate of quay crane is regarded as a variable,and the multi-objective mixed integer programming model is constructed.In this paper,genetic algorithm,particle swarm optimization and genetic-particle swarm optimization hybrid algorithm are used to solve the problem of joint configuration of anchorage-berth-quay crane in inland container port of great water level.This variable is introduced,which realizes the joint configuration of anchorage,berth and quay crane,and can reasonably control the utilization rate of berth.In this paper,the distribution of anchorage and berth of Chishui port in Wuzhou and Cuntan port in Chongqing and are calculated and analyzed.And choose Chishui port as an example,and calculate the optimal configuration under the different scenarios of different arrival rate or berth service strength.The operational status of the port is analyzed.The validity of the model and algorithm is verified.And the research also provides the theoretical decision support for the facility configuration of inland container port.