不确定环境下可折叠集装箱内陆空箱调运优化

为使空箱调运总成本最小,针对使用可折叠集装箱进行内陆空箱调运问题,综合考虑服务水平、供需不平衡程度、相关成本等因素,采用机会约束规划建立不确定环境下的内陆空箱调运优化模型。运用灵敏度分析探究使用可折叠集装箱降低调运总成本的潜在可能性。结果表明,租箱成本是影响可折叠集装箱使用的关键因素,且在空箱需求旺季使用可折叠集装箱比使用标准集装箱更具有成本优势。

Optimization on inland empty container allocation of foldable containers with uncertainties

To minimize the total cost of empty container allocation, aiming at the issue of inland empty container allocation using foldable containers, an optimiaztion model of inland empty container allocation with uncertainties is established by the chance constrained programming. In the model, the service level, the imblance degree of supply and demand, and the relative cost are considered. The sensitivity analysis is adopted to explore the potential possibility of the use of foldable containers to reduce the total allocation cost. The result shows that: the rent cost for containers is the key factor influencing the use of foldable containers; in the peak demand season of empty containers, the use of foldable containers is of cost advantage over the use of standard containers.