STOCHASTIC OPTIMIZATION MODEL OF CONTAINERS STOCKING IN A TRANSSHIPMENT PORT YARD

摘要

To effectively improve the competitiveness of port enterprises, container yard stocking optimization is an important way to raise their benefit. An optimization model for containers stocking in storage yard based on chance-constrained programming is built to improve its efficiency. The objective function is to minimize the number of yard cranes used in the storage yard during the planning period. The decisions variables included the number of export/transit containers assigned to a sub-block, yard cranes and sub-blocks with high or low workload. The constraints include meeting the shipping requirement, storage capacity and operational capacity of yard cranes. In the model, the shipping requirement is stochastic. The stochastic model is transferred to a integer programming model. A numerical example is given and solved by Lingo and effectiveness of the model to the use of yard crane is verified. The simulation is done to the workload of sub-blocks to recover the relation between workload and the number of yard crane used. The model can be used in containers stocking management in a transshipment port and lift its level.