基于衔接组合的集装箱多式联运服务分段采购优化

为解决集装箱多式联运服务分段采购中的运输费用和运输时间优化难题，从多 式联运经营人的视角出发，提出了集装箱多式联运总费用最小化和总运输时间最小化的 双层优化目标.基于运输路径选择和时、空、量的衔接组合，结合托运人运单、集装箱多式 联运组织形式、集装箱交接地点、运输路段及方式、运输时间、运费率等要素约束，建立了 集装箱多式联运服务分段采购优化模型.运用自然约束语言设计搜索算法程序并求解.数 值实验分析结果表明，该模型及搜索算法不仅易于实施求解，而且应用效果良好，达到了 集装箱多式联运一体化无缝运输的目的.

Segmented Procurement Optimization of Container Multimodal Transport Service Based on Convergent Combination

To solve the transport cost and time optimization problem in segmented procurement of container multimodal transport service, this paper proposed the double optimization objectives including minimization of total transport cost and total transport time in container multimodal transport from the perspective of multimodal transport operators. Based on the routes selection and convergent combination of transport time, space and volume, the paper developed an optimization model of segmented procurement in container multimodal transport with regard to the elements constraints of shippers’orders, organization forms of container multimodal transport, container delivery location, transportation section and mode, transportation time and freight rate. The Natural Constraint Language was employed to establish a searching algorithm procedure for solving the problem. Numerical examples show that the model and its searching algorithm not only can be implemented easily to solve the problem, but also the application results are quite well and the goal of seamless integrated container multimodal transport is achieved.