内支线集装箱班轮航线优化设计模型

内支线集装箱班轮航线运营中装卸箱量、装卸效率、航行时间及等泊时间皆具有不确定性,为了同步优化给定挂靠航线的甩箱率与适配船型、准班率与承诺到港时间,需要将上述诸多分布函数进行非线性叠加.对此,本文将对班轮船舶调度的模拟仿真引入模型与算法,仿真航次中包括船舶调节航速以控制到港时间的过程.算例绘制了不确定到港时间的航次仿真示意图,比较了不同甩箱率对应的适配船型、船舶租金与甩箱补偿,帮助验证了文章模型与算法的有效性.通过对比航速调节前后的船舶到港时间分布,发现调节航速有助于控制船舶按时到港.

Container Feeder Liner Shipping Service Optimal Design Model

In the container feeder liner operation, there are uncertainties in the freight demand, the container handling rate, the sailing time and the waiting berth time. In order to optimize the cargo rejection rate and ship capacity, the arrival on- time rate and committed arrival time of given route, all of the above distributions need to be nonlinearly superposed. As for this, the shipping voyage simulation which includes the speed adjustment for arrival on- time is introduced into our model and algorithm. In the numerical example, the shipping voyage simulation diagram of uncertain arrival time is showed. Meanwhile, the ship capacities, ship rents and cargo rejection compensations under different cargo rejection rate are calculated. Both of these help to verify the effectiveness of our model and algorithm. After observing the arrival time distributions with the speed adjustment or not, it can be found that adjusting speed contributes to arrive ontime.