Chartering Strategy in Liner Shipping Companies

In recent years, the world economic situation and container shipping industry has been fluctuated drastically, which has complicated the liner shipping companies＇ operation. The conventional issue of overcapacity due to the ＂equipment battle＂, and the destructive competition have further stimulated the operating intricacy within the container sector. That would be interesting to explore the chartering strategies of CMA CGM （Compagnie Maritime d＇Affretement Compagnie Generale Maritime） in such a volatile market as any capacity adjustment dictates a line＇s profit line. Nevertheless, the usefulness of ship chartering is not only confined to the operational level but also the strategic level. Throughout the analysis of CMA CGM＇s fleet trend, fleet deployment as well as chartering activities, it can illustrate the above concepts and observe a little bit further about the strategic movement of CMA CGM.

班轮船舶调度多目标优化模型与蚁群算法

针对班轮船舶调度问题,在将班轮合理配置到各往返航班上和不存在时间冲突的基础上,以最小班轮变动成本、最小航线运载量缺口和最小班轮航次总绝对偏差为目标函数,构造了基于港口时段与往返航班的时空网络,建立了班轮调度的0-1整数规划数学模型。基于某船务公司实际运载数据,利用蚁群算法求解模型,并用邻域搜索技术提高求解效率。计算结果表明:在运载量满足运营要求的前提下,班轮运营的日均总变动成本从198 086.3元降低到170 472.2元,下降了约13.9%;班轮航次数总绝对偏差从4.4次降低到2.4次,下降了约45.5%,班轮利用率更加均衡;运载量缺口仍旧为0。可见,模型可行,算法有效。